diff --git a/docs/performance/index.md b/docs/performance/index.md
index 1493e02..55e228b 100644
--- a/docs/performance/index.md
+++ b/docs/performance/index.md
@@ -1,7 +1,7 @@
 # Performance benchmarks
 
-[Jelly-JVM]({{ jvm_link() }}) 4.0.0 was benchmarked against the serialization formats built into Apache Jena and Eclipse RDF4J:
+[Jelly-JVM]({{ jvm_link() }}) 4.0.0 was benchmarked against the serialization formats built into Apache Jena and Eclipse RDF4J, and [pyjelly]({{ python_link() }}) 0.9.0 against the formats built into RDFLib:
 
-- **[Jelly-RDF](rdf.md)** – RDF triples and quads, compared with N-Triples / N-Quads, Turtle / TriG, RDF/XML, JSON-LD, RDF/JSON, Jena's binary formats, and RDF4J Binary.
-- **[Jelly-SPARQL](sparql.md)** – SPARQL query results, compared with the XML, JSON, and TSV results formats, Jena's binary formats, and RDF4J Binary.
-- **[Jelly-RDF 1.1 vs 1.2](rdf-1-1-vs-1-2.md)** – Jelly-RDF 1.2 (the default in Jelly-JVM 4.0.0) compared with Jelly-RDF 1.1.
+- **[Jelly-RDF](rdf.md)** – RDF triples and quads, compared with the formats in Apache Jena, Eclipse RDF4J, and RDFLib.
+- **[Jelly-SPARQL](sparql.md)** – SPARQL query results, compared with the formats in Apache Jena, Eclipse RDF4J, and RDFLib.
+- **[Jelly-RDF 1.1 vs 1.2](rdf-1-1-vs-1-2.md)** – Jelly-RDF 1.2 (the default in Jelly-JVM 4.0.0 and pyjelly 0.9.0) compared with Jelly-RDF 1.1.
diff --git a/docs/performance/rdf-1-1-vs-1-2.md b/docs/performance/rdf-1-1-vs-1-2.md
index e04ea4a..f126ed7 100644
--- a/docs/performance/rdf-1-1-vs-1-2.md
+++ b/docs/performance/rdf-1-1-vs-1-2.md
@@ -1,10 +1,17 @@
 # Jelly-RDF 1.1 vs 1.2
 
-Jelly-RDF 1.2 features a new column layout for stream frames, which improves throughput and reduces serialized size (see the [changes from Jelly-RDF 1.1](../specification/serialization.md#changes-from-jelly-rdf-11)). The first version of Jelly-JVM to support it is 4.0.0, which also includes other performance improvements in the implementation itself that made Jelly-RDF 1.1 faster as well. This page compares Jelly-RDF 1.2 with Jelly-RDF 1.1, and also shows the performance improvements coming from the implementation.
+Jelly-RDF 1.2 features a new column layout for stream frames, which improves throughput and reduces serialized size (see the [changes from Jelly-RDF 1.1](../specification/serialization.md#changes-from-jelly-rdf-11)). The first versions to support it are Jelly-JVM 4.0.0 and pyjelly 0.9.0. Both also include other performance improvements in the implementation itself that made Jelly-RDF 1.1 faster as well. This page compares Jelly-RDF 1.2 with Jelly-RDF 1.1, and also shows the performance improvements coming from the implementations.
 
 The charts are interactive – hover over them for details.
 
-## Benchmark setup
+**Jump to:**
+
+- **[Jelly-JVM](#jelly-jvm)** – Apache Jena and Eclipse RDF4J
+- **[pyjelly](#pyjelly)** – RDFLib and the generic API
+
+## Jelly-JVM
+
+### Benchmark setup
 
 The same datasets, hardware, software, and method were used as in the [Jelly-RDF benchmarks](rdf.md#benchmark-setup), with the "big" preset. Three versions were compared:
 
@@ -14,9 +21,9 @@ The same datasets, hardware, software, and method were used as in the [Jelly-RDF
 
 Each of the three versions was run 6 times for every dataset. The result for a dataset is the median of the 6 runs.
 
-## Results
+### Results
 
-### Throughput
+#### Throughput
 
 --8<-- "snippets/performance/e-versions.html"
 
@@ -32,7 +39,7 @@ Throughput on each of the 13 datasets (median of 6 runs). Log scale.
 
 --8<-- "snippets/performance/k-speed-variants.data.html"
 
-### Serialized size
+#### Serialized size
 
 --8<-- "snippets/performance/i-size-summary.html"
 
@@ -52,7 +59,7 @@ Serialized size on each of the 13 datasets, uncompressed and with zstd. Sorted b
 
 --8<-- "snippets/performance/j-size-variants.data.html"
 
-### Throughput and serialized size
+#### Throughput and serialized size
 
 --8<-- "snippets/performance/l-speed-size-variants.html"
 
@@ -61,8 +68,64 @@ Size (uncompressed) against throughput on each of the 13 datasets. Each line con
 
 --8<-- "snippets/performance/l-speed-size-variants.data.html"
 
+## pyjelly
+
+### Benchmark setup
+
+The same datasets, hardware, software, and method were used as in the [pyjelly Jelly-RDF benchmarks](rdf.md#pyjelly), with pyjelly's streaming API and the "big" preset. Throughput was measured with RDFLib terms and with the terms of pyjelly's [generic API]({{ python_link('generic-sink') }}), which does not use RDFLib. Three versions were compared:
+
+- **0.8 (Jelly-RDF 1.0)** – pyjelly 0.8.2, Jelly-RDF 1.0, frame size 250 (its defaults)
+- **0.9 (Jelly-RDF 1.1)** – pyjelly 0.9.0 writing Jelly-RDF 1.1, frame size 1024
+- **0.9 (Jelly-RDF 1.2)** – pyjelly 0.9.0, Jelly-RDF 1.2, frame size 1024
+
+Each of the three versions was run 6 times for every dataset. The result for a dataset is the median of the 6 runs. Serialized sizes are from the RDFLib integration (the generic API writes the same bytes in 0.9.0, and within 3% of them in 0.8.2).
+
+### Results
+
+#### Throughput
+
+--8<-- "snippets/performance/py-e-versions.html"
+
+Step-by-step throughput improvements: the code changes in pyjelly 0.9.0 (with Jelly-RDF 1.1), and the Jelly-RDF 1.2 format. Teal: geometric mean over 13 datasets, gray: each dataset.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-e-versions.data.html"
+
+--8<-- "snippets/performance/py-k-speed-variants.html"
+
+Throughput on each of the 13 datasets (median of 6 runs). Log scale.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-k-speed-variants.data.html"
+
+#### Serialized size
+
+--8<-- "snippets/performance/py-i-size-summary.html"
+
+Serialized size, geometric mean over 13 datasets.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-i-size-summary.data.html"
+
+--8<-- "snippets/performance/py-j-size-variants.html"
+
+Serialized size on each of the 13 datasets, uncompressed and with zstd. Sorted by how much smaller Jelly-RDF 1.2 is. Log scale.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-j-size-variants.data.html"
+
+#### Throughput and serialized size
+
+--8<-- "snippets/performance/py-l-speed-size-variants.html"
+
+Size (uncompressed) against throughput on each of the 13 datasets. Each line connects a dataset's results for 0.8 (Jelly-RDF 1.0) and 0.9 (Jelly-RDF 1.2). Up and to the left is better. Log scales.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-l-speed-size-variants.data.html"
+
 ## See also
 
 - [Jelly-RDF benchmarks](rdf.md)
 - [Jelly-RDF 1.2 specification](../specification/serialization.md)
-- [Benchmark code](https://github.com/Jelly-RDF/jelly-jvm/tree/main/jmh)
+- [Jelly-JVM benchmark code](https://github.com/Jelly-RDF/jelly-jvm/tree/main/jmh)
+- [pyjelly benchmark code](https://github.com/Jelly-RDF/pyjelly/tree/main/benchmarks)
diff --git a/docs/performance/rdf.md b/docs/performance/rdf.md
index 33d8db2..0aaa885 100644
--- a/docs/performance/rdf.md
+++ b/docs/performance/rdf.md
@@ -1,12 +1,19 @@
 # Jelly-RDF benchmarks
 
-The following results were obtained by benchmarking [Jelly-JVM]({{ jvm_link() }}) 4.0.0 against the RDF serialization formats built into Apache Jena and Eclipse RDF4J. For SPARQL query results, see [Jelly-SPARQL benchmarks](sparql.md).
+The following results were obtained by benchmarking [Jelly-JVM]({{ jvm_link() }}) 4.0.0 against the RDF serialization formats built into Apache Jena and Eclipse RDF4J, and [pyjelly]({{ python_link() }}) 0.9.0 against the formats built into RDFLib. For SPARQL query results, see [Jelly-SPARQL benchmarks](sparql.md).
 
 The benchmarks were performed on flat streams of RDF triples or quads.
 
 The charts are interactive – hover over them for details.
 
-## Benchmark setup
+**Jump to:**
+
+- **[Jelly-JVM](#jelly-jvm)** – Apache Jena and Eclipse RDF4J
+- **[pyjelly](#pyjelly)** – RDFLib
+
+## Jelly-JVM
+
+### Benchmark setup
 
 All benchmarks were performed on the first 100,000 statements of each dataset in [RiverBench](https://w3id.org/riverbench/v/dev) (development version, October 2026), except `yago-annotated-facts`, which uses RDF-star. Out of the 13 used datasets, 3 include RDF quads (`assist-iot-weather-graphs`, `citypulse-traffic-graphs`, `nanopubs`).
 
@@ -20,7 +27,7 @@ Hardware: NVIDIA DGX Spark (GB10 Grace Blackwell Superchip with 10 Cortex-X925 a
 
 Software: Linux kernel 6.17, GraalVM CE 25.4 (Java 25.0.4), Apache Jena 6.2.0, Eclipse RDF4J 6.1.0, [Jelly-JVM]({{ jvm_link() }}) 4.0.0.
 
-### Tested methods
+#### Tested methods
 
 - W3C N-Triples / N-Quads (Apache Jena, Eclipse RDF4J)
 - W3C Turtle / TriG (Apache Jena `TURTLE_BLOCKS` and `TRIG_BLOCKS`, Eclipse RDF4J without pretty-printing)
@@ -40,9 +47,9 @@ Software: Linux kernel 6.17, GraalVM CE 25.4 (Java 25.0.4), Apache Jena 6.2.0, E
     
     See the [dedicated Jelly-RDF 1.1 vs 1.2 comparison](rdf-1-1-vs-1-2.md) for details on the performance improvements.
 
-## Results
+### Results
 
-### Throughput
+#### Throughput
 
 --8<-- "snippets/performance/a-overview-rdf.html"
 
@@ -51,14 +58,14 @@ Throughput, geometric mean over 13 datasets (10 for RDF/JSON and RDF/XML, which
 
 <div class="jelly-chart-notes" markdown>
 
-- \* buffering writer: drops duplicate statements (write throughput still counts every input statement)
+- \* buffering writer: deduplicates statements (write throughput still counts every input statement)
 - ° RDF4J's writer is given an OutputStream and writes it one character at a time. With a BufferedWriter it could be 1.28–1.56× faster
 
 </div>
 
 --8<-- "snippets/performance/a-overview-rdf.data.html"
 
-### Throughput and serialized size
+#### Throughput and serialized size
 
 --8<-- "snippets/performance/b-speed-size-rdf-triples.html"
 
@@ -67,14 +74,14 @@ Serialized size (uncompressed) against throughput, geometric mean over 10 datase
 
 <div class="jelly-chart-notes" markdown>
 
-- \* buffering writer: drops duplicate statements (write throughput still counts every input statement)
+- \* buffering writer: deduplicates statements (write throughput still counts every input statement)
 - ° RDF4J's writer is given an OutputStream and writes it one character at a time. With a BufferedWriter it could be 1.28–1.56× faster
 
 </div>
 
 --8<-- "snippets/performance/b-speed-size-rdf-triples.data.html"
 
-### Throughput per dataset
+#### Throughput per dataset
 
 --8<-- "snippets/performance/c-heatmap-rdf.html"
 
@@ -83,7 +90,7 @@ Throughput on each dataset, in statements/s. The last 3 datasets contain quads.
 
 <div class="jelly-chart-notes" markdown>
 
-- \* buffering writer: drops duplicate statements (write throughput still counts every input statement)
+- \* buffering writer: deduplicates statements (write throughput still counts every input statement)
 - § the 3 sweeps differ by more than 10%
 - ° RDF4J's writer is given an OutputStream and writes it one character at a time. With a BufferedWriter it could be 1.28–1.56× faster
 
@@ -98,7 +105,7 @@ Throughput on each dataset (dots) and the geometric mean over 10 datasets (bar).
 
 <div class="jelly-chart-notes" markdown>
 
-- \* buffering writer: drops duplicate statements (write throughput still counts every input statement)
+- \* buffering writer: deduplicates statements (write throughput still counts every input statement)
 - § the 3 sweeps differ by more than 10%
 - ° RDF4J's writer is given an OutputStream and writes it one character at a time. With a BufferedWriter it could be 1.28–1.56× faster
 
@@ -106,7 +113,7 @@ Throughput on each dataset (dots) and the geometric mean over 10 datasets (bar).
 
 --8<-- "snippets/performance/d-spread-rdf-triples.data.html"
 
-### Serialized size
+#### Serialized size
 
 --8<-- "snippets/performance/f-size-rdf-triples.html"
 
@@ -115,16 +122,125 @@ Serialized size in bytes/statement, uncompressed and with zstd, geometric mean o
 
 <div class="jelly-chart-notes" markdown>
 
-- \* buffering writer: drops duplicate statements (write throughput still counts every input statement)
+- \* buffering writer: deduplicates statements (write throughput still counts every input statement)
 
 </div>
 
 --8<-- "snippets/performance/f-size-rdf-triples.data.html"
 
+## pyjelly
+
+### Benchmark setup
+
+The same 13 datasets (first 100,000 statements of each) and the same hardware were used as for [Jelly-JVM](#benchmark-setup).
+
+- Each method/dataset combination was run in 3 separate Python processes (sweeps), each with 1 × 1 s warmup and 5 × 1 s measurement. The result for a dataset is the median of the 3 sweeps.
+- Serialization: the data was preloaded into memory as a list of RDFLib terms and serialized to a null output stream. RDFLib can write Turtle, RDF/XML, and JSON-LD only from a whole `Graph` or `Dataset`, so for these formats the graph was built beforehand, and only `serialize` was measured.
+- Deserialization: the data was parsed from bytes in memory. Only the parsed statements were counted in the throughput numbers.
+- Writers were given the prefixes of the dataset.
+- Averages are geometric means over the datasets.
+
+Hardware: the same NVIDIA DGX Spark, pinned to 5 Cortex-X925 cores. The benchmarks are single-threaded.
+
+Software: Linux kernel 6.17, CPython 3.15.1, RDFLib 7.6.0, protobuf 7.36.2 (upb backend), [pyjelly]({{ python_link() }}) 0.9.0 (compiled with mypyc).
+
+#### Tested methods
+
+- W3C N-Triples / N-Quads (RDFLib's serializer, run line by line over the list of statements)
+- W3C Turtle / TriG (RDFLib)
+- W3C RDF/XML (RDFLib) – triples only. RDFLib can't parse its own RDF/XML for 4 of the datasets, so there are results for 6 datasets.
+- W3C JSON-LD (RDFLib)
+- Jelly (pyjelly 0.9.0, Jelly-RDF 1.2, "big" preset), with pyjelly's streaming API (`flat_stream_to_file` and `parse_jelly_flat`)
+    ```protobuf
+    max_name_table_size = 4000;
+    max_prefix_table_size = 150;
+    max_datatype_table_size = 32;
+    ```
+- Jelly (Graph API) – the same, through RDFLib's plugin API (`Graph.serialize(format="jelly")` and `Graph.parse(format="jelly")`)
+
+RDFLib changes some literals when parsing them (e.g., `"73"^^xsd:float` is parsed as `"73.0"`), so N-Triples, Turtle, RDF/XML, and JSON-LD don't round-trip exactly on 7 of the 13 datasets. These results are still included. Jelly round-trips exactly on all datasets.
+
+### Results
+
+#### Throughput
+
+--8<-- "snippets/performance/py-a-overview-rdf.html"
+
+Throughput, geometric mean over 13 datasets (6 for RDF/XML). Log scale.
+{ .jc-caption }
+
+<div class="jelly-chart-notes" markdown>
+
+- \* writes from an RDFLib `Graph`, which deduplicates statements (throughput counts only the statements written)
+
+</div>
+
+--8<-- "snippets/performance/py-a-overview-rdf.data.html"
+
+#### Throughput and serialized size
+
+--8<-- "snippets/performance/py-b-speed-size-rdf-triples.html"
+
+Serialized size (uncompressed) against throughput, geometric mean over 10 datasets (6 for RDF/XML). Log scale. Top left is better.
+{ .jc-caption }
+
+<div class="jelly-chart-notes" markdown>
+
+- \* writes from an RDFLib `Graph`, which deduplicates statements (throughput counts only the statements written)
+
+</div>
+
+--8<-- "snippets/performance/py-b-speed-size-rdf-triples.data.html"
+
+#### Throughput per dataset
+
+--8<-- "snippets/performance/py-c-heatmap-rdf.html"
+
+Throughput on each dataset, in statements/s. The last 3 datasets contain quads.
+{ .jc-caption }
+
+<div class="jelly-chart-notes" markdown>
+
+- \* writes from an RDFLib `Graph`, which deduplicates statements (throughput counts only the statements written)
+
+</div>
+
+--8<-- "snippets/performance/py-c-heatmap-rdf.data.html"
+
+--8<-- "snippets/performance/py-d-spread-rdf-triples.html"
+
+Throughput on each dataset (dots) and the geometric mean over 10 datasets (bar; 6 for RDF/XML). Log scale.
+{ .jc-caption }
+
+<div class="jelly-chart-notes" markdown>
+
+- \* writes from an RDFLib `Graph`, which deduplicates statements (throughput counts only the statements written)
+
+</div>
+
+--8<-- "snippets/performance/py-d-spread-rdf-triples.data.html"
+
+#### Serialized size
+
+--8<-- "snippets/performance/py-f-size-rdf-triples.html"
+
+Serialized size in bytes/statement, uncompressed and with zstd, geometric mean over 10 datasets (6 for RDF/XML). Log scale.
+{ .jc-caption }
+
+<div class="jelly-chart-notes" markdown>
+
+- \* writes from an RDFLib `Graph`, which deduplicates statements (throughput counts only the statements written)
+
+</div>
+
+--8<-- "snippets/performance/py-f-size-rdf-triples.data.html"
+
 ## See also
 
 - [Jelly-SPARQL benchmarks](sparql.md)
-- [Benchmark code](https://github.com/Jelly-RDF/jelly-jvm/tree/main/jmh)
+- [Jelly-JVM benchmark code](https://github.com/Jelly-RDF/jelly-jvm/tree/main/jmh)
 - [RiverBench benchmark suite](https://w3id.org/riverbench/)
 - [Jelly-JVM]({{ jvm_link() }}) – the Jelly implementation used in the benchmarks
 - [User guide](../user-guide.md)
+- [pyjelly benchmark code](https://github.com/Jelly-RDF/pyjelly/tree/main/benchmarks)
+- [pyjelly]({{ python_link() }}) – the Jelly implementation for Python
diff --git a/docs/performance/sparql.md b/docs/performance/sparql.md
index d3d11fb..cbf0951 100644
--- a/docs/performance/sparql.md
+++ b/docs/performance/sparql.md
@@ -1,14 +1,21 @@
 # Jelly-SPARQL benchmarks
 
-The following results were obtained by benchmarking [Jelly-JVM]({{ jvm_link() }}) 4.0.0 against the SPARQL query results formats built into Apache Jena and Eclipse RDF4J. For RDF serialization, see [Jelly-RDF benchmarks](rdf.md).
+The following results were obtained by benchmarking [Jelly-JVM]({{ jvm_link() }}) 4.0.0 against the SPARQL query results formats built into Apache Jena and Eclipse RDF4J, and [pyjelly]({{ python_link() }}) 0.9.0 against the formats built into RDFLib. For RDF serialization, see [Jelly-RDF benchmarks](rdf.md).
 
 The charts are interactive – hover over them for details.
 
-## Benchmark setup
+**Jump to:**
+
+- **[Jelly-JVM](#jelly-jvm)** – Apache Jena and Eclipse RDF4J
+- **[pyjelly](#pyjelly)** – RDFLib
+
+## Jelly-JVM
+
+### Benchmark setup
 
 The same datasets, hardware, software, and method were used as in the [Jelly-RDF benchmarks](rdf.md#benchmark-setup). Each of the 13 datasets was turned into a single SPARQL result set with one row per statement. Throughput is given in cells (bound values) per second.
 
-### Tested methods
+#### Tested methods
 
 - [SPARQL Query Results XML Format](https://www.w3.org/TR/rdf-sparql-XMLres/) (SRX) (Apache Jena, Eclipse RDF4J)
 - [SPARQL Query Results JSON Format](https://www.w3.org/TR/sparql11-results-json/) (SRJ) (Apache Jena, Eclipse RDF4J)
@@ -23,9 +30,9 @@ The same datasets, hardware, software, and method were used as in the [Jelly-RDF
     max_datatype_table_size = 64;
     ```
 
-## Results
+### Results
 
-### Throughput
+#### Throughput
 
 --8<-- "snippets/performance/a-overview-sparql.html"
 
@@ -40,7 +47,7 @@ Throughput, geometric mean over 10 datasets. Log scale.
 
 --8<-- "snippets/performance/a-overview-sparql.data.html"
 
-### Throughput and serialized size
+#### Throughput and serialized size
 
 --8<-- "snippets/performance/b-speed-size-sparql.html"
 
@@ -55,7 +62,7 @@ Serialized size (uncompressed) against throughput, geometric mean over 10 datase
 
 --8<-- "snippets/performance/b-speed-size-sparql.data.html"
 
-### Throughput per dataset
+#### Throughput per dataset
 
 --8<-- "snippets/performance/c-heatmap-sparql.html"
 
@@ -87,7 +94,7 @@ Throughput on each dataset (dots) and the geometric mean over 10 datasets (bar).
 
 --8<-- "snippets/performance/d-spread-sparql.data.html"
 
-### Serialized size
+#### Serialized size
 
 --8<-- "snippets/performance/f-size-sparql.html"
 
@@ -96,10 +103,78 @@ Serialized size in bytes/row, uncompressed and with zstd, geometric mean over 10
 
 --8<-- "snippets/performance/f-size-sparql.data.html"
 
+## pyjelly
+
+### Benchmark setup
+
+The same hardware, software, and method were used as in the [pyjelly Jelly-RDF benchmarks](rdf.md#pyjelly). Each of the 13 datasets was turned into a single SPARQL result set with one row per statement (`?s ?p ?o`, plus `?g` for quads). Throughput is given in cells (rows × variables) per second.
+
+#### Tested methods
+
+- [SPARQL Query Results XML Format](https://www.w3.org/TR/rdf-sparql-XMLres/) (SRX) (RDFLib)
+- [SPARQL Query Results JSON Format](https://www.w3.org/TR/sparql11-results-json/) (SRJ) (RDFLib)
+- [SPARQL Query Results TSV Format](https://www.w3.org/TR/sparql11-results-csv-tsv/) (RDFLib) – read only, because RDFLib can't write TSV results
+    - CSV was not included, because it does not preserve datatypes or language tags.
+- Jelly-SPARQL (pyjelly 0.9.0, through RDFLib's plugin API: `Result.serialize(format="jelly")` and `Result.parse(format="jelly")`, default preset)
+    ```protobuf
+    max_name_table_size = 8192;
+    max_prefix_table_size = 1024;
+    max_datatype_table_size = 64;
+    ```
+
+Writing starts from an RDFLib `Result`, and reading returns a whole `Result`. As with RDF, RDFLib changes some literals when parsing SRX and SRJ (on 8 of the 13 datasets). These results are still included.
+
+### Results
+
+#### Throughput
+
+--8<-- "snippets/performance/py-a-overview-sparql.html"
+
+Throughput, geometric mean over 13 datasets (12 for TSV). Log scale.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-a-overview-sparql.data.html"
+
+#### Throughput and serialized size
+
+--8<-- "snippets/performance/py-b-speed-size-sparql.html"
+
+Serialized size (uncompressed) against throughput, geometric mean over 13 datasets. Log scale. Top left is better.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-b-speed-size-sparql.data.html"
+
+#### Throughput per dataset
+
+--8<-- "snippets/performance/py-c-heatmap-sparql.html"
+
+Throughput on each dataset, in cells/s. RDFLib can't parse the TSV for `linked-spending`.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-c-heatmap-sparql.data.html"
+
+--8<-- "snippets/performance/py-d-spread-sparql.html"
+
+Throughput on each dataset (dots) and the geometric mean over 13 datasets (bar; 12 for TSV). Log scale.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-d-spread-sparql.data.html"
+
+#### Serialized size
+
+--8<-- "snippets/performance/py-f-size-sparql.html"
+
+Serialized size in bytes/row, uncompressed and with zstd, geometric mean over 13 datasets. Log scale.
+{ .jc-caption }
+
+--8<-- "snippets/performance/py-f-size-sparql.data.html"
+
 ## See also
 
 - [Jelly-RDF benchmarks](rdf.md)
 - [Jelly-SPARQL specification](../specification/sparql.md)
-- [Benchmark code](https://github.com/Jelly-RDF/jelly-jvm/tree/main/jmh)
+- [Jelly-JVM benchmark code](https://github.com/Jelly-RDF/jelly-jvm/tree/main/jmh)
 - [RiverBench benchmark suite](https://w3id.org/riverbench/)
 - [Jelly-JVM]({{ jvm_link() }}) – the Jelly implementation used in the benchmarks
+- [pyjelly benchmark code](https://github.com/Jelly-RDF/pyjelly/tree/main/benchmarks)
+- [pyjelly]({{ python_link() }}) – the Jelly implementation for Python
diff --git a/snippets/performance/a-overview-sparql.html b/snippets/performance/a-overview-sparql.html
index 89176b6..22b3843 100644
--- a/snippets/performance/a-overview-sparql.html
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d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#80868f" stroke-width="2" opacity="1"/></g><g class="mark-text role-mark concat_1_concat_0_layer_3_marks" aria-hidden="true"><text aria-hidden="true" text-anchor="start" transform="translate(177.29819647801045,15.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#009485">92.9M</text><text aria-hidden="true" text-anchor="start" transform="translate(101.62978232206657,38.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">5.93M</text><text aria-hidden="true" text-anchor="start" transform="translate(99.83356444336329,61.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">5.56M</text><text aria-hidden="true" text-anchor="start" transform="translate(99.77352593939784,84.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">5.54M</text><text aria-hidden="true" text-anchor="start" transform="translate(90.09831498478803,107.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">3.9M</text><text aria-hidden="true" text-anchor="start" transform="translate(79.5450277577554,130.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">2.66M</text></g><g class="mark-group role-title"><g transform="translate(-73.5,-21)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-text role-title-text" role="graphics-symbol" aria-roledescription="title" aria-label="Title text 'Jena · read'" pointer-events="none"><text text-anchor="start" transform="translate(0,10)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="bold" fill="#1f2328" opacity="1">Jena · read</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-group role-axis" 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fill="#009485">37.7M</text><text aria-hidden="true" text-anchor="start" transform="translate(129.67954118593602,38.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">16.4M</text><text aria-hidden="true" text-anchor="start" transform="translate(123.63410143450159,61.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">13.2M</text><text aria-hidden="true" text-anchor="start" transform="translate(106.27677396099287,84.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">7.02M</text><text aria-hidden="true" text-anchor="start" transform="translate(60.27262429174078,107.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">1.32M</text></g><g class="mark-group role-title"><g transform="translate(-73.5,-21)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-text role-title-text" role="graphics-symbol" aria-roledescription="title" aria-label="Title text 'RDF4J · write'" pointer-events="none"><text text-anchor="start" transform="translate(0,10)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="bold" fill="#1f2328" opacity="1">RDF4J · write</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-group role-axis" role="graphics-symbol" aria-roledescription="axis" aria-label="Y-axis for a discrete scale with 5 values: Jelly, TSV, Binary, SRJ (JSON), SRX (XML)"><g transform="translate(0.5,0.5)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-text role-axis-label" pointer-events="none"><text text-anchor="end" transform="translate(-2,15)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="bold" fill="#009485" opacity="1">Jelly</text><text text-anchor="end" transform="translate(-2,38)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="normal" fill="#1f2328" opacity="1">TSV</text><text text-anchor="end" transform="translate(-2,61)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="normal" fill="#1f2328" opacity="1">Binary</text><text text-anchor="end" transform="translate(-2,84)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="normal" fill="#1f2328" opacity="1">SRJ (JSON)</text><text text-anchor="end" transform="translate(-2,107)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="normal" fill="#1f2328" opacity="1">SRX (XML)</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g></g><path class="foreground" aria-hidden="true" d="" display="none"/></g></g></g><path class="foreground" aria-hidden="true" d="" display="none"/></g></g><g 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y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(89,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(108,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(127,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(152,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(171,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(190,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-group role-axis" role="graphics-symbol" aria-roledescription="axis" aria-label="X-axis titled 'cells/s (log scale)' for a log scale with values from 200,000 to 200,000,000"><g transform="translate(0.5,138.5)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-rule role-axis-tick" pointer-events="none"><line transform="translate(0,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(25,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(44,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(63,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(89,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(108,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(127,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(152,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(171,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(190,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/></g><g class="mark-text role-axis-label" pointer-events="none"><text text-anchor="start" transform="translate(0,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">200k</text><text text-anchor="middle" transform="translate(25.202867215895694,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(44.268100274614504,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">1M</text><text text-anchor="middle" transform="translate(63.33333333333332,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(88.53620054922906,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(107.60143360794787,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">10M</text><text text-anchor="middle" transform="translate(126.66666666666664,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(151.86953388256237,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(170.93476694128123,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">100M</text><text text-anchor="end" transform="translate(190,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/></g><g class="mark-rule role-axis-domain" pointer-events="none"><line transform="translate(0,0)" x2="190" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/></g><g class="mark-text role-axis-title" pointer-events="none"><text text-anchor="middle" transform="translate(95,32)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="normal" fill="#5c636e" opacity="1">cells/s (log scale)</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-rect role-mark view_0106c18fd0d2b569_0_marks" aria-hidden="true"><path aria-hidden="true" d="M0,0h190v23h-190Z" fill="#4c78a8" opacity="0"/><path aria-hidden="true" d="M0,23h190v23h-190Z" fill="#4c78a8" opacity="0"/><path aria-hidden="true" d="M0,46h190v23h-190Z" fill="#4c78a8" opacity="0"/><path aria-hidden="true" d="M0,69h190v23h-190Z" fill="#4c78a8" opacity="0"/><path aria-hidden="true" d="M0,92h190v23h-190Z" fill="#4c78a8" opacity="0"/><path aria-hidden="true" d="M0,115h190v23h-190Z" fill="#4c78a8" 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aria-hidden="true"><path aria-hidden="true" transform="translate(168.89819647801045,11.5)" d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#009485" stroke-width="2" opacity="1"/><path aria-hidden="true" transform="translate(93.22978232206657,34.5)" d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#80868f" stroke-width="2" opacity="1"/><path aria-hidden="true" transform="translate(91.4335644433633,57.5)" d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#80868f" stroke-width="2" opacity="1"/><path aria-hidden="true" transform="translate(91.37352593939784,80.5)" d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#80868f" stroke-width="2" opacity="1"/><path aria-hidden="true" transform="translate(81.69831498478804,103.5)" d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#80868f" stroke-width="2" opacity="1"/><path aria-hidden="true" transform="translate(71.1450277577554,126.5)" d="M4.61,0A4.61,4.61,0,1,1,-4.61,0A4.61,4.61,0,1,1,4.61,0" fill="#80868f" stroke-width="2" opacity="1"/></g><g class="mark-text role-mark concat_1_concat_0_layer_3_marks" aria-hidden="true"><text aria-hidden="true" text-anchor="start" transform="translate(177.29819647801045,15.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#009485">92.9M</text><text aria-hidden="true" text-anchor="start" transform="translate(101.62978232206657,38.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">5.93M</text><text aria-hidden="true" text-anchor="start" transform="translate(99.83356444336329,61.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">5.56M</text><text aria-hidden="true" text-anchor="start" transform="translate(99.77352593939784,84.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">5.54M</text><text aria-hidden="true" text-anchor="start" transform="translate(90.09831498478803,107.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">3.9M</text><text aria-hidden="true" text-anchor="start" transform="translate(79.5450277577554,130.5)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#80868f">2.66M</text></g><g class="mark-group role-title"><g transform="translate(-73.5,-21)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-text role-title-text" role="graphics-symbol" aria-roledescription="title" aria-label="Title text 'Jena · read'" pointer-events="none"><text text-anchor="start" transform="translate(0,10)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="13px" font-weight="bold" fill="#1f2328" opacity="1">Jena · read</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-group role-axis" 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diff --git a/snippets/performance/b-speed-size-rdf-triples.html b/snippets/performance/b-speed-size-rdf-triples.html
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+++ b/snippets/performance/b-speed-size-rdf-triples.html
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class="mark-rule role-axis-tick" pointer-events="none"><line transform="translate(0,210)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,187)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,156)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,132)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,109)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,78)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,54)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,31)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,0)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/></g><g class="mark-text role-axis-label" pointer-events="none"><text text-anchor="end" transform="translate(-7,214)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">100k</text><text text-anchor="end" transform="translate(-7,190.57762072647114)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">200k</text><text text-anchor="end" transform="translate(-7,159.61491951568595)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">500k</text><text text-anchor="end" transform="translate(-7,136.19254024215707)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">1M</text><text text-anchor="end" transform="translate(-7,112.7701609686282)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">2M</text><text text-anchor="end" transform="translate(-7,81.80745975784292)" font-family="Roboto, 'Helvetica Neue', Arial, 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diff --git a/snippets/performance/b-speed-size-sparql.html b/snippets/performance/b-speed-size-sparql.html
index fcfcf38..ec4c6c4 100644
--- a/snippets/performance/b-speed-size-sparql.html
+++ b/snippets/performance/b-speed-size-sparql.html
@@ -1 +1 @@
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diff --git a/snippets/performance/c-heatmap-rdf.html b/snippets/performance/c-heatmap-rdf.html
index 86d9207..4b50830 100644
--- a/snippets/performance/c-heatmap-rdf.html
+++ b/snippets/performance/c-heatmap-rdf.html
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diff --git a/snippets/performance/c-heatmap-sparql.html b/snippets/performance/c-heatmap-sparql.html
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+++ b/snippets/performance/c-heatmap-sparql.html
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parser","ds_group":0},{"label":"sparql","kind":"sparql","op":"deserialize","dataset":"osm2rdf-denmark","method":"rdf4j-tsv","value":3648239.04162094,"lo":3613963.524021833,"hi":3668237.1609907774,"sweeps":3,"fmt_key":"tsv","library":"RDF4J","operation":"Read","format":"TSV","lossy":true,"multithreaded":true,"dropped_dups":false,"unstable":false,"unbuffered":false,"jelly_speedup":21.30403914852071,"is_jelly":false,"flags":"\u2020\u2021","hl":"Other","fmt":"TSV","cell_label":"3.6M","tt_value":"3,648,239 cells/s","tt_range":"3,613,964 \u2013 3,668,237","tt_jelly":"Jelly is 21\u00d7 faster","tt_notes":"\u2020 not lossless here (left out of means); \u2021 multi-threaded parser","ds_group":0}]}};</script></figure>
diff --git a/snippets/performance/d-spread-rdf-triples.html b/snippets/performance/d-spread-rdf-triples.html
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diff --git a/snippets/performance/k-speed-variants.html b/snippets/performance/k-speed-variants.html
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diff --git a/snippets/performance/py-a-overview-rdf.data.html b/snippets/performance/py-a-overview-rdf.data.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Format</th><th>Throughput (statements/s, geomean)</th><th>Slowest dataset</th><th>Fastest dataset</th><th>Datasets</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>Jelly</td><td>2,180,409</td><td>1,453,147</td><td>2,666,478</td><td>13</td><td></td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>1,897,977</td><td>1,298,373</td><td>2,301,996</td><td>13</td><td>*</td></tr><tr><td>Write</td><td>N-Triples / N-Quads</td><td>810,316</td><td>617,124</td><td>915,760</td><td>13</td><td></td></tr><tr><td>Write</td><td>RDF/XML</td><td>268,656</td><td>247,785</td><td>324,074</td><td>6</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>92,660</td><td>8,394</td><td>188,557</td><td>13</td><td>*</td></tr><tr><td>Write</td><td>Turtle / TriG</td><td>48,399</td><td>13,649</td><td>105,832</td><td>13</td><td>*</td></tr><tr><td>Read</td><td>Jelly</td><td>2,558,978</td><td>996,234</td><td>4,176,665</td><td>13</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>1,844,129</td><td>856,220</td><td>2,656,142</td><td>13</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>206,427</td><td>173,672</td><td>252,923</td><td>13</td><td>*</td></tr><tr><td>Read</td><td>N-Triples / N-Quads</td><td>178,315</td><td>137,486</td><td>205,172</td><td>13</td><td></td></tr><tr><td>Read</td><td>Turtle / TriG</td><td>135,959</td><td>97,294</td><td>163,876</td><td>13</td><td>*</td></tr><tr><td>Read</td><td>RDF/XML</td><td>117,679</td><td>103,891</td><td>149,491</td><td>6</td><td>*</td></tr></tbody></table></div></details></div>
diff --git a/snippets/performance/py-a-overview-rdf.html b/snippets/performance/py-a-overview-rdf.html
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diff --git a/snippets/performance/py-a-overview-sparql.data.html b/snippets/performance/py-a-overview-sparql.data.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Format</th><th>Throughput (cells/s, geomean)</th><th>Slowest dataset</th><th>Fastest dataset</th><th>Datasets</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>Jelly</td><td>7,002,774</td><td>4,386,462</td><td>9,788,516</td><td>13</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>1,307,458</td><td>1,170,269</td><td>1,481,835</td><td>13</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>328,068</td><td>305,757</td><td>338,640</td><td>13</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>6,546,422</td><td>2,460,429</td><td>11,210,260</td><td>13</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>554,048</td><td>457,414</td><td>604,520</td><td>13</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>322,576</td><td>277,064</td><td>351,174</td><td>13</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>32,424</td><td>30,009</td><td>33,831</td><td>12</td><td></td></tr></tbody></table></div></details></div>
diff --git a/snippets/performance/py-a-overview-sparql.html b/snippets/performance/py-a-overview-sparql.html
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diff --git a/snippets/performance/py-b-speed-size-rdf-triples.data.html b/snippets/performance/py-b-speed-size-rdf-triples.data.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Format</th><th>Throughput (statements/s, geomean)</th><th>Size (bytes/statement, raw)</th><th>zstd</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>Jelly (Graph API)</td><td>1,952,123</td><td>21.2</td><td>4.39</td><td>*</td></tr><tr><td>Write</td><td>Jelly</td><td>2,169,373</td><td>22</td><td>4.58</td><td></td></tr><tr><td>Write</td><td>Turtle</td><td>60,497</td><td>64.8</td><td>4.54</td><td>*</td></tr><tr><td>Write</td><td>RDF/XML</td><td>268,656</td><td>105.5</td><td>6.32</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>160,998</td><td>148.6</td><td>8.2</td><td>*</td></tr><tr><td>Write</td><td>N-Triples</td><td>871,760</td><td>190.9</td><td>8.75</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>1,755,134</td><td>21.2</td><td>4.39</td><td>*</td></tr><tr><td>Read</td><td>Jelly</td><td>2,346,025</td><td>22</td><td>4.58</td><td></td></tr><tr><td>Read</td><td>Turtle</td><td>143,110</td><td>64.8</td><td>4.54</td><td>*</td></tr><tr><td>Read</td><td>RDF/XML</td><td>117,679</td><td>105.5</td><td>6.32</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>209,174</td><td>148.6</td><td>8.2</td><td>*</td></tr><tr><td>Read</td><td>N-Triples</td><td>190,408</td><td>190.9</td><td>8.75</td><td></td></tr></tbody></table></div></details></div>
diff --git a/snippets/performance/py-b-speed-size-rdf-triples.html b/snippets/performance/py-b-speed-size-rdf-triples.html
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diff --git a/snippets/performance/py-b-speed-size-sparql.data.html b/snippets/performance/py-b-speed-size-sparql.data.html
new file mode 100644
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--- /dev/null
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@@ -0,0 +1 @@
+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Format</th><th>Throughput (cells/s, geomean)</th><th>Size (bytes/row, raw)</th><th>zstd</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>Jelly</td><td>7,002,774</td><td>20.9</td><td>3.82</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>1,307,458</td><td>317.5</td><td>9.02</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>328,068</td><td>346.5</td><td>9.2</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>6,546,422</td><td>20.9</td><td>3.82</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>554,048</td><td>317.5</td><td>9.02</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>322,576</td><td>346.5</td><td>9.2</td><td></td></tr></tbody></table></div></details></div>
diff --git a/snippets/performance/py-b-speed-size-sparql.html b/snippets/performance/py-b-speed-size-sparql.html
new file mode 100644
index 0000000..170e914
--- /dev/null
+++ b/snippets/performance/py-b-speed-size-sparql.html
@@ -0,0 +1 @@
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(XML)","is_jelly":false,"value":322576.2618379484,"jelly_speedup":20.29418344735789,"ds_min":277063.53333526547,"ds_max":351174.42427831586,"n_datasets":13,"dropped_dups":false,"multithreaded":false,"unbuffered":false,"flags":"","gzip":11.124129227603477,"raw":346.4662680200638,"zstd":9.202613922675077,"hl":"Other","jr":20.947136123316493,"format_label":"SRX (XML)","tt_value":"322,576 cells/s","tt_size":"346.5 raw \u00b7 9.2 zstd (bytes/row)","tt_jelly":"Jelly is 20\u00d7 faster","tt_smaller":"Jelly is 17\u00d7 smaller (raw)","tt_notes":"\u2013","lx":301.520782802059,"ly":322576.2618379484,"lalign":"right","leader":false,"ex":311.9122345011054,"ey":322576.2618379484}]}};</script></figure>
diff --git a/snippets/performance/py-c-heatmap-rdf.data.html b/snippets/performance/py-c-heatmap-rdf.data.html
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--- /dev/null
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@@ -0,0 +1 @@
+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Dataset</th><th>Format</th><th>Throughput (statements/s, median)</th><th>Run min</th><th>Run max</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>assist-iot-weather</td><td>JSON-LD</td><td>156,131</td><td>155,902</td><td>156,181</td><td>*</td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>Jelly</td><td>2,323,361</td><td>2,320,772</td><td>2,333,926</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>Jelly (Graph API)</td><td>1,975,091</td><td>1,964,769</td><td>1,975,111</td><td>*</td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>N-Triples</td><td>845,453</td><td>842,094</td><td>850,094</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>RDF/XML</td><td>247,785</td><td>247,692</td><td>250,234</td><td>*</td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>Turtle</td><td>57,522</td><td>57,235</td><td>58,084</td><td>*</td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>JSON-LD</td><td>14,089</td><td>14,083</td><td>14,639</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>Jelly</td><td>2,666,478</td><td>2,659,005</td><td>2,678,633</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>Jelly (Graph API)</td><td>2,169,312</td><td>2,159,909</td><td>2,187,469</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>N-Quads</td><td>626,041</td><td>621,878</td><td>631,902</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>TriG</td><td>13,649</td><td>13,425</td><td>13,816</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>JSON-LD</td><td>149,329</td><td>148,545</td><td>149,464</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>Jelly</td><td>2,118,056</td><td>2,113,622</td><td>2,134,360</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>Jelly (Graph API)</td><td>1,919,632</td><td>1,913,096</td><td>1,953,681</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>N-Triples</td><td>915,183</td><td>912,858</td><td>917,191</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>Turtle</td><td>65,332</td><td>65,301</td><td>65,538</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>JSON-LD</td><td>26,824</td><td>26,611</td><td>26,855</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>Jelly</td><td>2,079,018</td><td>2,078,658</td><td>2,080,320</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>Jelly (Graph API)</td><td>1,624,870</td><td>1,614,594</td><td>1,631,401</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>N-Quads</td><td>663,074</td><td>659,315</td><td>665,575</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>TriG</td><td>24,153</td><td>24,080</td><td>24,620</td><td></td></tr><tr><td>Write</td><td>dbpedia-live</td><td>JSON-LD</td><td>147,932</td><td>145,168</td><td>148,968</td><td>*</td></tr><tr><td>Write</td><td>dbpedia-live</td><td>Jelly</td><td>1,453,147</td><td>1,407,394</td><td>1,459,057</td><td></td></tr><tr><td>Write</td><td>dbpedia-live</td><td>Jelly (Graph API)</td><td>1,298,373</td><td>1,298,050</td><td>1,304,836</td><td>*</td></tr><tr><td>Write</td><td>dbpedia-live</td><td>N-Triples</td><td>883,399</td><td>874,407</td><td>898,223</td><td></td></tr><tr><td>Write</td><td>dbpedia-live</td><td>Turtle</td><td>14,614</td><td>14,579</td><td>14,651</td><td>*</td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>JSON-LD</td><td>157,671</td><td>157,013</td><td>157,998</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>Jelly</td><td>2,454,513</td><td>2,425,026</td><td>2,515,395</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>Jelly (Graph API)</td><td>2,286,997</td><td>2,283,431</td><td>2,302,487</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>N-Triples</td><td>840,795</td><td>836,188</td><td>846,117</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>RDF/XML</td><td>278,630</td><td>278,029</td><td>280,148</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>Turtle</td><td>86,419</td><td>86,275</td><td>86,460</td><td></td></tr><tr><td>Write</td><td>linked-spending</td><td>JSON-LD</td><td>167,549</td><td>163,909</td><td>168,538</td><td>*</td></tr><tr><td>Write</td><td>linked-spending</td><td>Jelly</td><td>2,511,900</td><td>2,479,122</td><td>2,519,046</td><td></td></tr><tr><td>Write</td><td>linked-spending</td><td>Jelly (Graph API)</td><td>2,272,301</td><td>2,247,494</td><td>2,272,459</td><td>*</td></tr><tr><td>Write</td><td>linked-spending</td><td>N-Triples</td><td>874,912</td><td>871,192</td><td>878,037</td><td></td></tr><tr><td>Write</td><td>linked-spending</td><td>Turtle</td><td>64,629</td><td>64,601</td><td>65,120</td><td>*</td></tr><tr><td>Write</td><td>lod-katrina</td><td>JSON-LD</td><td>156,475</td><td>155,867</td><td>159,234</td><td>*</td></tr><tr><td>Write</td><td>lod-katrina</td><td>Jelly</td><td>2,147,431</td><td>2,102,062</td><td>2,149,892</td><td></td></tr><tr><td>Write</td><td>lod-katrina</td><td>Jelly (Graph API)</td><td>1,955,748</td><td>1,948,222</td><td>1,972,898</td><td>*</td></tr><tr><td>Write</td><td>lod-katrina</td><td>N-Triples</td><td>840,381</td><td>836,291</td><td>842,402</td><td></td></tr><tr><td>Write</td><td>lod-katrina</td><td>RDF/XML</td><td>252,535</td><td>250,919</td><td>253,427</td><td>*</td></tr><tr><td>Write</td><td>lod-katrina</td><td>Turtle</td><td>46,667</td><td>46,562</td><td>46,790</td><td>*</td></tr><tr><td>Write</td><td>muziekweb</td><td>JSON-LD</td><td>169,966</td><td>168,316</td><td>170,641</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>Jelly</td><td>1,997,337</td><td>1,994,877</td><td>2,015,253</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>Jelly (Graph API)</td><td>1,798,531</td><td>1,785,751</td><td>1,806,807</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>N-Triples</td><td>890,581</td><td>887,392</td><td>897,987</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>RDF/XML</td><td>260,730</td><td>257,794</td><td>260,835</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>Turtle</td><td>63,957</td><td>63,727</td><td>64,243</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>JSON-LD</td><td>8,394</td><td>8,322</td><td>8,429</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>Jelly</td><td>1,967,226</td><td>1,965,897</td><td>1,974,967</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>Jelly (Graph API)</td><td>1,464,099</td><td>1,459,724</td><td>1,469,605</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>N-Quads</td><td>617,124</td><td>613,516</td><td>621,115</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>TriG</td><td>36,940</td><td>36,887</td><td>37,927</td><td></td></tr><tr><td>Write</td><td>officegraph</td><td>JSON-LD</td><td>158,183</td><td>157,835</td><td>160,391</td><td>*</td></tr><tr><td>Write</td><td>officegraph</td><td>Jelly</td><td>2,104,226</td><td>2,026,969</td><td>2,139,060</td><td></td></tr><tr><td>Write</td><td>officegraph</td><td>Jelly (Graph API)</td><td>1,865,806</td><td>1,864,217</td><td>1,874,540</td><td>*</td></tr><tr><td>Write</td><td>officegraph</td><td>N-Triples</td><td>852,482</td><td>849,263</td><td>855,189</td><td></td></tr><tr><td>Write</td><td>officegraph</td><td>RDF/XML</td><td>255,226</td><td>254,408</td><td>257,742</td><td>*</td></tr><tr><td>Write</td><td>officegraph</td><td>Turtle</td><td>105,832</td><td>101,676</td><td>105,869</td><td>*</td></tr><tr><td>Write</td><td>openaire-lod</td><td>JSON-LD</td><td>188,557</td><td>188,178</td><td>189,927</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>Jelly</td><td>2,611,959</td><td>2,599,205</td><td>2,640,322</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>Jelly (Graph API)</td><td>2,301,996</td><td>2,244,798</td><td>2,310,131</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>N-Triples</td><td>915,760</td><td>915,730</td><td>916,758</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>RDF/XML</td><td>324,074</td><td>321,590</td><td>324,879</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>Turtle</td><td>76,565</td><td>76,501</td><td>76,650</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>JSON-LD</td><td>161,884</td><td>161,485</td><td>162,425</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>Jelly</td><td>2,221,167</td><td>2,216,903</td><td>2,231,552</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>Jelly (Graph API)</td><td>2,079,378</td><td>2,065,946</td><td>2,081,731</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>N-Triples</td><td>862,871</td><td>861,131</td><td>867,697</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>Turtle</td><td>88,511</td><td>88,019</td><td>88,551</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>JSON-LD</td><td>196,570</td><td>196,148</td><td>197,559</td><td>*</td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>Jelly</td><td>4,176,665</td><td>4,168,743</td><td>4,181,203</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>Jelly (Graph API)</td><td>2,634,927</td><td>2,620,711</td><td>2,638,942</td><td>*</td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>N-Triples</td><td>200,264</td><td>199,260</td><td>202,180</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>RDF/XML</td><td>106,564</td><td>106,152</td><td>106,966</td><td>*</td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>Turtle</td><td>134,939</td><td>134,628</td><td>135,129</td><td>*</td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>JSON-LD</td><td>199,224</td><td>198,862</td><td>200,215</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>Jelly</td><td>3,837,199</td><td>3,835,581</td><td>3,839,647</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>Jelly (Graph API)</td><td>2,595,270</td><td>2,588,172</td><td>2,596,418</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>N-Quads</td><td>149,740</td><td>147,901</td><td>151,040</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>TriG</td><td>128,066</td><td>127,420</td><td>128,438</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>JSON-LD</td><td>213,154</td><td>212,053</td><td>213,192</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>Jelly</td><td>3,251,234</td><td>3,161,011</td><td>3,264,163</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>Jelly (Graph API)</td><td>2,242,104</td><td>2,240,151</td><td>2,249,524</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>N-Triples</td><td>188,333</td><td>185,972</td><td>189,312</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>Turtle</td><td>163,310</td><td>163,087</td><td>163,864</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>JSON-LD</td><td>199,249</td><td>198,572</td><td>200,060</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>Jelly</td><td>3,123,477</td><td>3,122,107</td><td>3,138,406</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>Jelly (Graph API)</td><td>2,065,867</td><td>2,060,981</td><td>2,072,279</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>N-Quads</td><td>137,486</td><td>136,398</td><td>137,900</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>TriG</td><td>120,805</td><td>119,690</td><td>121,394</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>JSON-LD</td><td>173,672</td><td>173,533</td><td>187,528</td><td>*</td></tr><tr><td>Read</td><td>dbpedia-live</td><td>Jelly</td><td>996,234</td><td>994,520</td><td>1,003,894</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>Jelly (Graph API)</td><td>856,220</td><td>854,554</td><td>864,097</td><td>*</td></tr><tr><td>Read</td><td>dbpedia-live</td><td>N-Triples</td><td>172,743</td><td>172,400</td><td>173,771</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>Turtle</td><td>120,993</td><td>120,172</td><td>121,178</td><td>*</td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>JSON-LD</td><td>211,369</td><td>211,324</td><td>212,160</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>Jelly</td><td>2,520,473</td><td>2,519,898</td><td>2,529,169</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>Jelly (Graph API)</td><td>1,895,359</td><td>1,888,014</td><td>1,909,028</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>N-Triples</td><td>190,676</td><td>189,270</td><td>192,255</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>RDF/XML</td><td>120,992</td><td>120,992</td><td>121,339</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>Turtle</td><td>145,354</td><td>142,971</td><td>145,896</td><td></td></tr><tr><td>Read</td><td>linked-spending</td><td>JSON-LD</td><td>210,246</td><td>209,017</td><td>210,841</td><td>*</td></tr><tr><td>Read</td><td>linked-spending</td><td>Jelly</td><td>2,493,829</td><td>2,485,041</td><td>2,498,485</td><td></td></tr><tr><td>Read</td><td>linked-spending</td><td>Jelly (Graph API)</td><td>1,863,722</td><td>1,858,817</td><td>1,863,746</td><td>*</td></tr><tr><td>Read</td><td>linked-spending</td><td>N-Triples</td><td>184,520</td><td>183,612</td><td>184,558</td><td></td></tr><tr><td>Read</td><td>linked-spending</td><td>Turtle</td><td>143,786</td><td>143,658</td><td>144,139</td><td>*</td></tr><tr><td>Read</td><td>lod-katrina</td><td>JSON-LD</td><td>212,648</td><td>211,686</td><td>213,172</td><td>*</td></tr><tr><td>Read</td><td>lod-katrina</td><td>Jelly</td><td>3,876,593</td><td>3,870,078</td><td>3,885,309</td><td></td></tr><tr><td>Read</td><td>lod-katrina</td><td>Jelly (Graph 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statements","ds_group":0},{"op":"deserialize","dataset":"muziekweb","method":"rdflib-xml","value":120940.42920191417,"lo":120891.68845197147,"hi":122057.29064690665,"sweeps":3,"lossy":false,"changed":false,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"RDF/XML","fmt_key":"rdflib-xml","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":10.43583021879269,"flags":"","hl":"Other","fmt":"RDF/XML","cell_label":"121k","tt_value":"120,940 statements/s","tt_range":"120,892 \u2013 122,057","tt_jelly":"Jelly is 10\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"officegraph","method":"rdflib-xml","value":103890.7544418558,"lo":102513.97922597268,"hi":104132.66864058338,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"RDF/XML","fmt_key":"rdflib-xml","multithreaded":false,"unbuffered":false,"dropped_dups":true,"is_jelly":false,"unstable":false,"jelly_speedup":35.371967256090024,"flags":"*","hl":"Other","fmt":"RDF/XML","cell_label":"104k","tt_value":"103,891 statements/s","tt_range":"102,514 \u2013 104,133","tt_jelly":"Jelly is 35\u00d7 faster","tt_notes":"* drops duplicate statements","ds_group":0},{"op":"deserialize","dataset":"openaire-lod","method":"rdflib-xml","value":149490.9179028804,"lo":147073.98805703162,"hi":149491.4600039159,"sweeps":3,"lossy":false,"changed":false,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"RDF/XML","fmt_key":"rdflib-xml","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":13.231232154972476,"flags":"","hl":"Other","fmt":"RDF/XML","cell_label":"149k","tt_value":"149,491 statements/s","tt_range":"147,074 \u2013 149,491","tt_jelly":"Jelly is 13\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"assist-iot-weather","method":"rdflib-turtle","value":134939.16688721167,"lo":134627.7408454528,"hi":135128.51636000417,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":true,"is_jelly":false,"unstable":false,"jelly_speedup":30.952204047573716,"flags":"*","hl":"Other","fmt":"Turtle / TriG","cell_label":"135k","tt_value":"134,939 statements/s","tt_range":"134,628 \u2013 135,129","tt_jelly":"Jelly is 31\u00d7 faster","tt_notes":"* drops duplicate statements","ds_group":0},{"op":"deserialize","dataset":"citypulse-traffic","method":"rdflib-turtle","value":163310.3760434435,"lo":163087.2487784118,"hi":163864.03424063275,"sweeps":3,"lossy":false,"changed":false,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":19.908314422540514,"flags":"","hl":"Other","fmt":"Turtle / TriG","cell_label":"163k","tt_value":"163,310 statements/s","tt_range":"163,087 \u2013 163,864","tt_jelly":"Jelly is 20\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"dbpedia-live","method":"rdflib-turtle","value":120993.24052319265,"lo":120171.73963156319,"hi":121178.26076150654,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":true,"is_jelly":false,"unstable":false,"jelly_speedup":8.233799688695326,"flags":"*","hl":"Other","fmt":"Turtle / TriG","cell_label":"121k","tt_value":"120,993 statements/s","tt_range":"120,172 \u2013 121,178","tt_jelly":"Jelly is 8.2\u00d7 faster","tt_notes":"* drops duplicate statements","ds_group":0},{"op":"deserialize","dataset":"digital-agenda-indicators","method":"rdflib-turtle","value":145354.05689457702,"lo":142971.432019569,"hi":145895.6353086611,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":17.340231055385544,"flags":"","hl":"Other","fmt":"Turtle / TriG","cell_label":"145k","tt_value":"145,354 statements/s","tt_range":"142,971 \u2013 145,896","tt_jelly":"Jelly is 17\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"linked-spending","method":"rdflib-turtle","value":143785.8953094812,"lo":143658.15197513587,"hi":144139.0944549808,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":true,"is_jelly":false,"unstable":false,"jelly_speedup":17.344047906047614,"flags":"*","hl":"Other","fmt":"Turtle / TriG","cell_label":"144k","tt_value":"143,786 statements/s","tt_range":"143,658 \u2013 144,139","tt_jelly":"Jelly is 17\u00d7 faster","tt_notes":"* drops duplicate statements","ds_group":0},{"op":"deserialize","dataset":"lod-katrina","method":"rdflib-turtle","value":160282.2668391225,"lo":158486.8713494957,"hi":160507.01765321594,"sweeps":3,"lossy":false,"changed":false,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":true,"is_jelly":false,"unstable":false,"jelly_speedup":24.186035363455268,"flags":"*","hl":"Other","fmt":"Turtle / TriG","cell_label":"160k","tt_value":"160,282 statements/s","tt_range":"158,487 \u2013 160,507","tt_jelly":"Jelly is 24\u00d7 faster","tt_notes":"* drops duplicate statements","ds_group":0},{"op":"deserialize","dataset":"muziekweb","method":"rdflib-turtle","value":135935.9033961594,"lo":135830.89303038167,"hi":136195.65612217336,"sweeps":3,"lossy":false,"changed":false,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":9.284624254571675,"flags":"","hl":"Other","fmt":"Turtle / TriG","cell_label":"136k","tt_value":"135,936 statements/s","tt_range":"135,831 \u2013 136,196","tt_jelly":"Jelly is 9.3\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"officegraph","method":"rdflib-turtle","value":114737.45493962846,"lo":114355.69949902594,"hi":115139.88460998287,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":true,"is_jelly":false,"unstable":false,"jelly_speedup":32.02807981283354,"flags":"*","hl":"Other","fmt":"Turtle / TriG","cell_label":"115k","tt_value":"114,737 statements/s","tt_range":"114,356 \u2013 115,140","tt_jelly":"Jelly is 32\u00d7 faster","tt_notes":"* drops duplicate statements","ds_group":0},{"op":"deserialize","dataset":"openaire-lod","method":"rdflib-turtle","value":157838.836835513,"lo":157663.08288852882,"hi":158744.25807015123,"sweeps":3,"lossy":false,"changed":false,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":12.531447136132927,"flags":"","hl":"Other","fmt":"Turtle / TriG","cell_label":"158k","tt_value":"157,839 statements/s","tt_range":"157,663 \u2013 158,744","tt_jelly":"Jelly is 13\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"osm2rdf-denmark","method":"rdflib-turtle","value":163875.9509936841,"lo":163134.93687305873,"hi":164735.44773821402,"sweeps":3,"lossy":false,"changed":true,"kind":"rdf","label":"rdf-triples","library":"RDFLib","operation":"Read","format":"Turtle","fmt_key":"rdflib-turtle","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":10.191160743278752,"flags":"","hl":"Other","fmt":"Turtle / TriG","cell_label":"164k","tt_value":"163,876 statements/s","tt_range":"163,135 \u2013 164,735","tt_jelly":"Jelly is 10\u00d7 faster","tt_notes":"\u2013","ds_group":0}]}};</script></figure>
diff --git a/snippets/performance/py-c-heatmap-sparql.data.html b/snippets/performance/py-c-heatmap-sparql.data.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Dataset</th><th>Format</th><th>Throughput (cells/s, median)</th><th>Run min</th><th>Run max</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>assist-iot-weather</td><td>Jelly</td><td>7,248,530</td><td>6,659,919</td><td>7,310,541</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>SRJ (JSON)</td><td>1,445,110</td><td>1,435,769</td><td>1,472,195</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather</td><td>SRX (XML)</td><td>330,673</td><td>328,283</td><td>336,313</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>Jelly</td><td>9,788,516</td><td>9,736,850</td><td>10,021,440</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>SRJ (JSON)</td><td>1,448,171</td><td>1,436,248</td><td>1,448,516</td><td></td></tr><tr><td>Write</td><td>assist-iot-weather-graphs</td><td>SRX (XML)</td><td>338,640</td><td>334,702</td><td>342,787</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>Jelly</td><td>6,778,735</td><td>6,634,768</td><td>6,854,170</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>SRJ (JSON)</td><td>1,234,548</td><td>1,214,480</td><td>1,267,459</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic</td><td>SRX (XML)</td><td>325,732</td><td>318,169</td><td>326,076</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>Jelly</td><td>8,283,946</td><td>8,151,876</td><td>8,356,206</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>SRJ (JSON)</td><td>1,297,095</td><td>1,284,884</td><td>1,329,894</td><td></td></tr><tr><td>Write</td><td>citypulse-traffic-graphs</td><td>SRX (XML)</td><td>335,688</td><td>326,280</td><td>336,575</td><td></td></tr><tr><td>Write</td><td>dbpedia-live</td><td>Jelly</td><td>4,386,462</td><td>4,358,171</td><td>4,443,046</td><td></td></tr><tr><td>Write</td><td>dbpedia-live</td><td>SRJ (JSON)</td><td>1,202,536</td><td>1,187,617</td><td>1,208,595</td><td></td></tr><tr><td>Write</td><td>dbpedia-live</td><td>SRX (XML)</td><td>305,757</td><td>301,868</td><td>306,079</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>Jelly</td><td>7,466,402</td><td>7,390,011</td><td>7,524,708</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>SRJ (JSON)</td><td>1,299,829</td><td>1,294,731</td><td>1,305,172</td><td></td></tr><tr><td>Write</td><td>digital-agenda-indicators</td><td>SRX (XML)</td><td>336,552</td><td>333,682</td><td>337,111</td><td></td></tr><tr><td>Write</td><td>linked-spending</td><td>Jelly</td><td>7,336,993</td><td>7,220,850</td><td>7,399,349</td><td></td></tr><tr><td>Write</td><td>linked-spending</td><td>SRJ (JSON)</td><td>1,180,580</td><td>1,174,260</td><td>1,185,876</td><td></td></tr><tr><td>Write</td><td>linked-spending</td><td>SRX (XML)</td><td>326,442</td><td>326,292</td><td>327,836</td><td></td></tr><tr><td>Write</td><td>lod-katrina</td><td>Jelly</td><td>6,347,624</td><td>6,296,575</td><td>6,366,590</td><td></td></tr><tr><td>Write</td><td>lod-katrina</td><td>SRJ (JSON)</td><td>1,404,880</td><td>1,404,505</td><td>1,413,132</td><td></td></tr><tr><td>Write</td><td>lod-katrina</td><td>SRX (XML)</td><td>336,666</td><td>333,968</td><td>339,943</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>Jelly</td><td>5,943,737</td><td>5,931,845</td><td>5,970,280</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>SRJ (JSON)</td><td>1,207,758</td><td>1,201,283</td><td>1,220,714</td><td></td></tr><tr><td>Write</td><td>muziekweb</td><td>SRX (XML)</td><td>319,484</td><td>316,789</td><td>322,737</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>Jelly</td><td>7,963,360</td><td>7,833,788</td><td>7,976,921</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>SRJ (JSON)</td><td>1,481,835</td><td>1,466,145</td><td>1,512,440</td><td></td></tr><tr><td>Write</td><td>nanopubs</td><td>SRX (XML)</td><td>327,132</td><td>323,147</td><td>330,449</td><td></td></tr><tr><td>Write</td><td>officegraph</td><td>Jelly</td><td>6,383,296</td><td>6,379,871</td><td>6,452,792</td><td></td></tr><tr><td>Write</td><td>officegraph</td><td>SRJ (JSON)</td><td>1,416,947</td><td>1,397,655</td><td>1,418,703</td><td></td></tr><tr><td>Write</td><td>officegraph</td><td>SRX (XML)</td><td>326,480</td><td>322,094</td><td>330,744</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>Jelly</td><td>7,796,575</td><td>7,729,595</td><td>7,898,431</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>SRJ (JSON)</td><td>1,170,269</td><td>1,149,232</td><td>1,171,386</td><td></td></tr><tr><td>Write</td><td>openaire-lod</td><td>SRX (XML)</td><td>329,350</td><td>322,173</td><td>335,485</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>Jelly</td><td>6,802,972</td><td>6,791,395</td><td>6,838,110</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>SRJ (JSON)</td><td>1,265,377</td><td>1,256,931</td><td>1,276,056</td><td></td></tr><tr><td>Write</td><td>osm2rdf-denmark</td><td>SRX (XML)</td><td>327,700</td><td>320,398</td><td>332,650</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>Jelly</td><td>9,873,885</td><td>9,856,756</td><td>9,955,616</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>SRJ (JSON)</td><td>591,801</td><td>587,869</td><td>594,789</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>SRX (XML)</td><td>308,469</td><td>305,544</td><td>308,681</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather</td><td>TSV</td><td>32,851</td><td>32,744</td><td>33,076</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>Jelly</td><td>11,210,260</td><td>11,196,586</td><td>11,271,504</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>SRJ (JSON)</td><td>599,294</td><td>599,165</td><td>610,833</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>SRX (XML)</td><td>323,955</td><td>322,507</td><td>325,890</td><td></td></tr><tr><td>Read</td><td>assist-iot-weather-graphs</td><td>TSV</td><td>33,699</td><td>33,670</td><td>33,736</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>Jelly</td><td>7,489,121</td><td>7,474,374</td><td>7,518,502</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>SRJ (JSON)</td><td>576,287</td><td>572,470</td><td>585,653</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>SRX (XML)</td><td>338,365</td><td>338,099</td><td>338,467</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic</td><td>TSV</td><td>33,118</td><td>32,947</td><td>33,218</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>Jelly</td><td>9,171,859</td><td>9,149,133</td><td>9,250,792</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>SRJ (JSON)</td><td>567,985</td><td>565,084</td><td>570,857</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>SRX (XML)</td><td>331,402</td><td>327,168</td><td>335,062</td><td></td></tr><tr><td>Read</td><td>citypulse-traffic-graphs</td><td>TSV</td><td>33,745</td><td>33,669</td><td>33,845</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>Jelly</td><td>2,460,429</td><td>2,441,178</td><td>2,461,789</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>SRJ (JSON)</td><td>457,414</td><td>452,880</td><td>461,107</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>SRX (XML)</td><td>277,064</td><td>276,841</td><td>278,633</td><td></td></tr><tr><td>Read</td><td>dbpedia-live</td><td>TSV</td><td>30,009</td><td>29,651</td><td>30,106</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>Jelly</td><td>6,610,937</td><td>6,586,406</td><td>6,649,320</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>SRJ (JSON)</td><td>585,121</td><td>575,512</td><td>588,009</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>SRX (XML)</td><td>351,174</td><td>348,470</td><td>355,152</td><td></td></tr><tr><td>Read</td><td>digital-agenda-indicators</td><td>TSV</td><td>32,862</td><td>32,696</td><td>33,229</td><td></td></tr><tr><td>Read</td><td>linked-spending</td><td>Jelly</td><td>6,158,168</td><td>6,132,571</td><td>6,175,924</td><td></td></tr><tr><td>Read</td><td>linked-spending</td><td>SRJ (JSON)</td><td>547,359</td><td>543,943</td><td>549,355</td><td></td></tr><tr><td>Read</td><td>linked-spending</td><td>SRX (XML)</td><td>347,101</td><td>345,334</td><td>348,806</td><td></td></tr><tr><td>Read</td><td>lod-katrina</td><td>Jelly</td><td>9,152,314</td><td>9,118,518</td><td>9,161,061</td><td></td></tr><tr><td>Read</td><td>lod-katrina</td><td>SRJ (JSON)</td><td>596,770</td><td>594,926</td><td>597,739</td><td></td></tr><tr><td>Read</td><td>lod-katrina</td><td>SRX (XML)</td><td>316,652</td><td>316,441</td><td>317,535</td><td></td></tr><tr><td>Read</td><td>lod-katrina</td><td>TSV</td><td>33,288</td><td>33,200</td><td>33,352</td><td></td></tr><tr><td>Read</td><td>muziekweb</td><td>Jelly</td><td>3,153,044</td><td>3,126,267</td><td>3,169,813</td><td></td></tr><tr><td>Read</td><td>muziekweb</td><td>SRJ (JSON)</td><td>501,624</td><td>501,024</td><td>503,458</td><td></td></tr><tr><td>Read</td><td>muziekweb</td><td>SRX (XML)</td><td>318,083</td><td>315,053</td><td>318,460</td><td></td></tr><tr><td>Read</td><td>muziekweb</td><td>TSV</td><td>31,305</td><td>31,290</td><td>31,736</td><td></td></tr><tr><td>Read</td><td>nanopubs</td><td>Jelly</td><td>10,172,622</td><td>10,165,446</td><td>10,202,990</td><td></td></tr><tr><td>Read</td><td>nanopubs</td><td>SRJ (JSON)</td><td>604,520</td><td>601,557</td><td>616,270</td><td></td></tr><tr><td>Read</td><td>nanopubs</td><td>SRX (XML)</td><td>339,157</td><td>337,610</td><td>339,179</td><td></td></tr><tr><td>Read</td><td>nanopubs</td><td>TSV</td><td>33,831</td><td>33,684</td><td>34,077</td><td></td></tr><tr><td>Read</td><td>officegraph</td><td>Jelly</td><td>8,980,374</td><td>8,940,740</td><td>8,998,422</td><td></td></tr><tr><td>Read</td><td>officegraph</td><td>SRJ (JSON)</td><td>553,825</td><td>550,456</td><td>555,855</td><td></td></tr><tr><td>Read</td><td>officegraph</td><td>SRX (XML)</td><td>310,235</td><td>309,793</td><td>310,308</td><td></td></tr><tr><td>Read</td><td>officegraph</td><td>TSV</td><td>31,582</td><td>31,440</td><td>32,084</td><td></td></tr><tr><td>Read</td><td>openaire-lod</td><td>Jelly</td><td>4,885,692</td><td>4,867,945</td><td>4,903,117</td><td></td></tr><tr><td>Read</td><td>openaire-lod</td><td>SRJ (JSON)</td><td>505,431</td><td>504,579</td><td>509,347</td><td></td></tr><tr><td>Read</td><td>openaire-lod</td><td>SRX (XML)</td><td>306,620</td><td>306,437</td><td>308,451</td><td></td></tr><tr><td>Read</td><td>openaire-lod</td><td>TSV</td><td>31,585</td><td>31,212</td><td>31,755</td><td></td></tr><tr><td>Read</td><td>osm2rdf-denmark</td><td>Jelly</td><td>4,134,472</td><td>4,107,872</td><td>4,135,831</td><td></td></tr><tr><td>Read</td><td>osm2rdf-denmark</td><td>SRJ (JSON)</td><td>538,106</td><td>535,619</td><td>540,486</td><td></td></tr><tr><td>Read</td><td>osm2rdf-denmark</td><td>SRX (XML)</td><td>332,974</td><td>332,536</td><td>333,612</td><td></td></tr><tr><td>Read</td><td>osm2rdf-denmark</td><td>TSV</td><td>31,474</td><td>31,366</td><td>31,599</td><td></td></tr></tbody></table></div></details></div>
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(XML)","fmt_key":"rdflib-srx","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":15.93402570775451,"flags":"","hl":"Other","fmt":"SRX (XML)","cell_label":"307k","tt_value":"306,620 cells/s","tt_range":"306,437 \u2013 308,451","tt_jelly":"Jelly is 16\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"osm2rdf-denmark","method":"rdflib-srx","value":332974.28583758185,"lo":332535.6567019833,"hi":333612.1528430953,"sweeps":3,"lossy":false,"changed":true,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"SRX (XML)","fmt_key":"rdflib-srx","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":12.416791202485927,"flags":"","hl":"Other","fmt":"SRX (XML)","cell_label":"333k","tt_value":"332,974 cells/s","tt_range":"332,536 \u2013 333,612","tt_jelly":"Jelly is 12\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"assist-iot-weather","method":"rdflib-tsv","value":32851.44996507454,"lo":32744.195513236893,"hi":33076.00122621523,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":300.5616190517526,"flags":"","hl":"Other","fmt":"TSV","cell_label":"33k","tt_value":"32,851 cells/s","tt_range":"32,744 \u2013 33,076","tt_jelly":"Jelly is 301\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"assist-iot-weather-graphs","method":"rdflib-tsv","value":33698.54621653971,"lo":33669.510917847816,"hi":33735.88313764326,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":332.6630201510431,"flags":"","hl":"Other","fmt":"TSV","cell_label":"34k","tt_value":"33,699 cells/s","tt_range":"33,670 \u2013 33,736","tt_jelly":"Jelly is 333\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"citypulse-traffic","method":"rdflib-tsv","value":33118.243605207106,"lo":32946.89462787683,"hi":33217.76030135899,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":226.13279649339455,"flags":"","hl":"Other","fmt":"TSV","cell_label":"33k","tt_value":"33,118 cells/s","tt_range":"32,947 \u2013 33,218","tt_jelly":"Jelly is 226\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"citypulse-traffic-graphs","method":"rdflib-tsv","value":33745.13751724143,"lo":33669.14365439936,"hi":33844.61993522358,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":271.797947595542,"flags":"","hl":"Other","fmt":"TSV","cell_label":"34k","tt_value":"33,745 cells/s","tt_range":"33,669 \u2013 33,845","tt_jelly":"Jelly is 272\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"dbpedia-live","method":"rdflib-tsv","value":30009.05657097142,"lo":29651.348422763393,"hi":30105.734889503008,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":81.98953337804153,"flags":"","hl":"Other","fmt":"TSV","cell_label":"30k","tt_value":"30,009 cells/s","tt_range":"29,651 \u2013 30,106","tt_jelly":"Jelly is 82\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"digital-agenda-indicators","method":"rdflib-tsv","value":32861.866576678534,"lo":32695.76140922992,"hi":33229.243185411804,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":201.17350589072478,"flags":"","hl":"Other","fmt":"TSV","cell_label":"33k","tt_value":"32,862 cells/s","tt_range":"32,696 \u2013 33,229","tt_jelly":"Jelly is 201\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"lod-katrina","method":"rdflib-tsv","value":33287.671175212505,"lo":33199.53803193953,"hi":33351.88807899023,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":274.94606545713145,"flags":"","hl":"Other","fmt":"TSV","cell_label":"33k","tt_value":"33,288 cells/s","tt_range":"33,200 \u2013 33,352","tt_jelly":"Jelly is 275\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"muziekweb","method":"rdflib-tsv","value":31305.063293171155,"lo":31289.600388389703,"hi":31735.60768801374,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":100.7199471674516,"flags":"","hl":"Other","fmt":"TSV","cell_label":"31k","tt_value":"31,305 cells/s","tt_range":"31,290 \u2013 31,736","tt_jelly":"Jelly is 101\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"nanopubs","method":"rdflib-tsv","value":33830.69024337123,"lo":33683.83040167455,"hi":34076.98971583808,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":300.6921215296497,"flags":"","hl":"Other","fmt":"TSV","cell_label":"34k","tt_value":"33,831 cells/s","tt_range":"33,684 \u2013 34,077","tt_jelly":"Jelly is 301\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"officegraph","method":"rdflib-tsv","value":31582.40993281606,"lo":31439.99092769169,"hi":32084.450976062337,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":284.3473390226813,"flags":"","hl":"Other","fmt":"TSV","cell_label":"32k","tt_value":"31,582 cells/s","tt_range":"31,440 \u2013 32,084","tt_jelly":"Jelly is 284\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"openaire-lod","method":"rdflib-tsv","value":31585.170104250104,"lo":31211.583867902325,"hi":31755.203933889934,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":154.68310949900714,"flags":"","hl":"Other","fmt":"TSV","cell_label":"32k","tt_value":"31,585 cells/s","tt_range":"31,212 \u2013 31,755","tt_jelly":"Jelly is 155\u00d7 faster","tt_notes":"\u2013","ds_group":0},{"op":"deserialize","dataset":"osm2rdf-denmark","method":"rdflib-tsv","value":31474.00713506075,"lo":31365.88534023898,"hi":31599.237461228993,"sweeps":3,"lossy":false,"changed":false,"kind":"sparql","label":"sparql","library":"RDFLib","operation":"Read","format":"TSV","fmt_key":"rdflib-tsv","multithreaded":false,"unbuffered":false,"dropped_dups":false,"is_jelly":false,"unstable":false,"jelly_speedup":131.36148077047642,"flags":"","hl":"Other","fmt":"TSV","cell_label":"31k","tt_value":"31,474 cells/s","tt_range":"31,366 \u2013 31,599","tt_jelly":"Jelly is 131\u00d7 faster","tt_notes":"\u2013","ds_group":0}]}};</script></figure>
diff --git a/snippets/performance/py-d-spread-rdf-triples.data.html b/snippets/performance/py-d-spread-rdf-triples.data.html
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@@ -0,0 +1 @@
+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Format</th><th>Dataset</th><th>Throughput (statements/s, median)</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>JSON-LD</td><td>assist-iot-weather</td><td>156,131</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>citypulse-traffic</td><td>149,329</td><td></td></tr><tr><td>Write</td><td>JSON-LD</td><td>dbpedia-live</td><td>147,932</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>digital-agenda-indicators</td><td>157,671</td><td></td></tr><tr><td>Write</td><td>JSON-LD</td><td>linked-spending</td><td>167,549</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>lod-katrina</td><td>156,475</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>muziekweb</td><td>169,966</td><td></td></tr><tr><td>Write</td><td>JSON-LD</td><td>officegraph</td><td>158,183</td><td>*</td></tr><tr><td>Write</td><td>JSON-LD</td><td>openaire-lod</td><td>188,557</td><td></td></tr><tr><td>Write</td><td>JSON-LD</td><td>osm2rdf-denmark</td><td>161,884</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>assist-iot-weather</td><td>2,323,361</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>citypulse-traffic</td><td>2,118,056</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>dbpedia-live</td><td>1,453,147</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>digital-agenda-indicators</td><td>2,454,513</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>linked-spending</td><td>2,511,900</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>lod-katrina</td><td>2,147,431</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>muziekweb</td><td>1,997,337</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>officegraph</td><td>2,104,226</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>openaire-lod</td><td>2,611,959</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>osm2rdf-denmark</td><td>2,221,167</td><td></td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>assist-iot-weather</td><td>1,975,091</td><td>*</td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>citypulse-traffic</td><td>1,919,632</td><td></td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>dbpedia-live</td><td>1,298,373</td><td>*</td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>digital-agenda-indicators</td><td>2,286,997</td><td></td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>linked-spending</td><td>2,272,301</td><td>*</td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>lod-katrina</td><td>1,955,748</td><td>*</td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>muziekweb</td><td>1,798,531</td><td></td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>officegraph</td><td>1,865,806</td><td>*</td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>openaire-lod</td><td>2,301,996</td><td></td></tr><tr><td>Write</td><td>Jelly (Graph API)</td><td>osm2rdf-denmark</td><td>2,079,378</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>assist-iot-weather</td><td>845,453</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>citypulse-traffic</td><td>915,183</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>dbpedia-live</td><td>883,399</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>digital-agenda-indicators</td><td>840,795</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>linked-spending</td><td>874,912</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>lod-katrina</td><td>840,381</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>muziekweb</td><td>890,581</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>officegraph</td><td>852,482</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>openaire-lod</td><td>915,760</td><td></td></tr><tr><td>Write</td><td>N-Triples</td><td>osm2rdf-denmark</td><td>862,871</td><td></td></tr><tr><td>Write</td><td>RDF/XML</td><td>assist-iot-weather</td><td>247,785</td><td>*</td></tr><tr><td>Write</td><td>RDF/XML</td><td>digital-agenda-indicators</td><td>278,630</td><td></td></tr><tr><td>Write</td><td>RDF/XML</td><td>lod-katrina</td><td>252,535</td><td>*</td></tr><tr><td>Write</td><td>RDF/XML</td><td>muziekweb</td><td>260,730</td><td></td></tr><tr><td>Write</td><td>RDF/XML</td><td>officegraph</td><td>255,226</td><td>*</td></tr><tr><td>Write</td><td>RDF/XML</td><td>openaire-lod</td><td>324,074</td><td></td></tr><tr><td>Write</td><td>Turtle</td><td>assist-iot-weather</td><td>57,522</td><td>*</td></tr><tr><td>Write</td><td>Turtle</td><td>citypulse-traffic</td><td>65,332</td><td></td></tr><tr><td>Write</td><td>Turtle</td><td>dbpedia-live</td><td>14,614</td><td>*</td></tr><tr><td>Write</td><td>Turtle</td><td>digital-agenda-indicators</td><td>86,419</td><td></td></tr><tr><td>Write</td><td>Turtle</td><td>linked-spending</td><td>64,629</td><td>*</td></tr><tr><td>Write</td><td>Turtle</td><td>lod-katrina</td><td>46,667</td><td>*</td></tr><tr><td>Write</td><td>Turtle</td><td>muziekweb</td><td>63,957</td><td></td></tr><tr><td>Write</td><td>Turtle</td><td>officegraph</td><td>105,832</td><td>*</td></tr><tr><td>Write</td><td>Turtle</td><td>openaire-lod</td><td>76,565</td><td></td></tr><tr><td>Write</td><td>Turtle</td><td>osm2rdf-denmark</td><td>88,511</td><td></td></tr><tr><td>Read</td><td>JSON-LD</td><td>assist-iot-weather</td><td>196,570</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>citypulse-traffic</td><td>213,154</td><td></td></tr><tr><td>Read</td><td>JSON-LD</td><td>dbpedia-live</td><td>173,672</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>digital-agenda-indicators</td><td>211,369</td><td></td></tr><tr><td>Read</td><td>JSON-LD</td><td>linked-spending</td><td>210,246</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>lod-katrina</td><td>212,648</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>muziekweb</td><td>197,866</td><td></td></tr><tr><td>Read</td><td>JSON-LD</td><td>officegraph</td><td>189,991</td><td>*</td></tr><tr><td>Read</td><td>JSON-LD</td><td>openaire-lod</td><td>252,923</td><td></td></tr><tr><td>Read</td><td>JSON-LD</td><td>osm2rdf-denmark</td><td>245,248</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>assist-iot-weather</td><td>4,176,665</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>citypulse-traffic</td><td>3,251,234</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>dbpedia-live</td><td>996,234</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>digital-agenda-indicators</td><td>2,520,473</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>linked-spending</td><td>2,493,829</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>lod-katrina</td><td>3,876,593</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>muziekweb</td><td>1,262,114</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>officegraph</td><td>3,674,820</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>openaire-lod</td><td>1,977,949</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>osm2rdf-denmark</td><td>1,670,086</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>assist-iot-weather</td><td>2,634,927</td><td>*</td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>citypulse-traffic</td><td>2,242,104</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>dbpedia-live</td><td>856,220</td><td>*</td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>digital-agenda-indicators</td><td>1,895,359</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>linked-spending</td><td>1,863,722</td><td>*</td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>lod-katrina</td><td>2,656,142</td><td>*</td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>muziekweb</td><td>1,081,314</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>officegraph</td><td>2,457,454</td><td>*</td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>openaire-lod</td><td>1,574,626</td><td></td></tr><tr><td>Read</td><td>Jelly (Graph API)</td><td>osm2rdf-denmark</td><td>1,396,870</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>assist-iot-weather</td><td>200,264</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>citypulse-traffic</td><td>188,333</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>dbpedia-live</td><td>172,743</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>digital-agenda-indicators</td><td>190,676</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>linked-spending</td><td>184,520</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>lod-katrina</td><td>205,172</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>muziekweb</td><td>190,055</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>officegraph</td><td>188,013</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>openaire-lod</td><td>184,602</td><td></td></tr><tr><td>Read</td><td>N-Triples</td><td>osm2rdf-denmark</td><td>201,913</td><td></td></tr><tr><td>Read</td><td>RDF/XML</td><td>assist-iot-weather</td><td>106,564</td><td>*</td></tr><tr><td>Read</td><td>RDF/XML</td><td>digital-agenda-indicators</td><td>120,992</td><td></td></tr><tr><td>Read</td><td>RDF/XML</td><td>lod-katrina</td><td>109,666</td><td>*</td></tr><tr><td>Read</td><td>RDF/XML</td><td>muziekweb</td><td>120,940</td><td></td></tr><tr><td>Read</td><td>RDF/XML</td><td>officegraph</td><td>103,891</td><td>*</td></tr><tr><td>Read</td><td>RDF/XML</td><td>openaire-lod</td><td>149,491</td><td></td></tr><tr><td>Read</td><td>Turtle</td><td>assist-iot-weather</td><td>134,939</td><td>*</td></tr><tr><td>Read</td><td>Turtle</td><td>citypulse-traffic</td><td>163,310</td><td></td></tr><tr><td>Read</td><td>Turtle</td><td>dbpedia-live</td><td>120,993</td><td>*</td></tr><tr><td>Read</td><td>Turtle</td><td>digital-agenda-indicators</td><td>145,354</td><td></td></tr><tr><td>Read</td><td>Turtle</td><td>linked-spending</td><td>143,786</td><td>*</td></tr><tr><td>Read</td><td>Turtle</td><td>lod-katrina</td><td>160,282</td><td>*</td></tr><tr><td>Read</td><td>Turtle</td><td>muziekweb</td><td>135,936</td><td></td></tr><tr><td>Read</td><td>Turtle</td><td>officegraph</td><td>114,737</td><td>*</td></tr><tr><td>Read</td><td>Turtle</td><td>openaire-lod</td><td>157,839</td><td></td></tr><tr><td>Read</td><td>Turtle</td><td>osm2rdf-denmark</td><td>163,876</td><td></td></tr></tbody></table></div></details></div>
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pointer-events="none"><line transform="translate(0,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(21,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(49,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(70,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(92,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(120,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(141,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(162,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/><line transform="translate(190,0)" x2="0" y2="-138" stroke="#e4e7eb" stroke-width="1" opacity="1"/></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-group role-axis" role="graphics-symbol" aria-roledescription="axis" aria-label="X-axis titled 'statements/s (log scale)' for a log scale with values from 10,000 to 5,000,000"><g transform="translate(0.5,138.5)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-rule role-axis-tick" pointer-events="none"><line transform="translate(0,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(21,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(49,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(70,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(92,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(120,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(141,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(162,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(190,0)" x2="0" y2="5" stroke="#9aa1ab" stroke-width="1" opacity="1"/></g><g class="mark-text role-axis-label" pointer-events="none"><text text-anchor="start" transform="translate(0,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1">10k</text><text text-anchor="middle" transform="translate(21.191676485573673,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(49.20554900961749,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" opacity="1"/><text text-anchor="middle" transform="translate(70.39722549519122,16)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#5c636e" 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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Operation</th><th>Format</th><th>Dataset</th><th>Throughput (cells/s, median)</th><th>Notes</th></tr></thead><tbody><tr><td>Write</td><td>Jelly</td><td>assist-iot-weather</td><td>7,248,530</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>assist-iot-weather-graphs</td><td>9,788,516</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>citypulse-traffic</td><td>6,778,735</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>citypulse-traffic-graphs</td><td>8,283,946</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>dbpedia-live</td><td>4,386,462</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>digital-agenda-indicators</td><td>7,466,402</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>linked-spending</td><td>7,336,993</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>lod-katrina</td><td>6,347,624</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>muziekweb</td><td>5,943,737</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>nanopubs</td><td>7,963,360</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>officegraph</td><td>6,383,296</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>openaire-lod</td><td>7,796,575</td><td></td></tr><tr><td>Write</td><td>Jelly</td><td>osm2rdf-denmark</td><td>6,802,972</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>assist-iot-weather</td><td>1,445,110</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>assist-iot-weather-graphs</td><td>1,448,171</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>citypulse-traffic</td><td>1,234,548</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>citypulse-traffic-graphs</td><td>1,297,095</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>dbpedia-live</td><td>1,202,536</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>digital-agenda-indicators</td><td>1,299,829</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>linked-spending</td><td>1,180,580</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>lod-katrina</td><td>1,404,880</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>muziekweb</td><td>1,207,758</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>nanopubs</td><td>1,481,835</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>officegraph</td><td>1,416,947</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>openaire-lod</td><td>1,170,269</td><td></td></tr><tr><td>Write</td><td>SRJ (JSON)</td><td>osm2rdf-denmark</td><td>1,265,377</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>assist-iot-weather</td><td>330,673</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>assist-iot-weather-graphs</td><td>338,640</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>citypulse-traffic</td><td>325,732</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>citypulse-traffic-graphs</td><td>335,688</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>dbpedia-live</td><td>305,757</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>digital-agenda-indicators</td><td>336,552</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>linked-spending</td><td>326,442</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>lod-katrina</td><td>336,666</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>muziekweb</td><td>319,484</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>nanopubs</td><td>327,132</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>officegraph</td><td>326,480</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>openaire-lod</td><td>329,350</td><td></td></tr><tr><td>Write</td><td>SRX (XML)</td><td>osm2rdf-denmark</td><td>327,700</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>assist-iot-weather</td><td>9,873,885</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>assist-iot-weather-graphs</td><td>11,210,260</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>citypulse-traffic</td><td>7,489,121</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>citypulse-traffic-graphs</td><td>9,171,859</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>dbpedia-live</td><td>2,460,429</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>digital-agenda-indicators</td><td>6,610,937</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>linked-spending</td><td>6,158,168</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>lod-katrina</td><td>9,152,314</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>muziekweb</td><td>3,153,044</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>nanopubs</td><td>10,172,622</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>officegraph</td><td>8,980,374</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>openaire-lod</td><td>4,885,692</td><td></td></tr><tr><td>Read</td><td>Jelly</td><td>osm2rdf-denmark</td><td>4,134,472</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>assist-iot-weather</td><td>591,801</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>assist-iot-weather-graphs</td><td>599,294</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>citypulse-traffic</td><td>576,287</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>citypulse-traffic-graphs</td><td>567,985</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>dbpedia-live</td><td>457,414</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>digital-agenda-indicators</td><td>585,121</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>linked-spending</td><td>547,359</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>lod-katrina</td><td>596,770</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>muziekweb</td><td>501,624</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>nanopubs</td><td>604,520</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>officegraph</td><td>553,825</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>openaire-lod</td><td>505,431</td><td></td></tr><tr><td>Read</td><td>SRJ (JSON)</td><td>osm2rdf-denmark</td><td>538,106</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>assist-iot-weather</td><td>308,469</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>assist-iot-weather-graphs</td><td>323,955</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>citypulse-traffic</td><td>338,365</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>citypulse-traffic-graphs</td><td>331,402</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>dbpedia-live</td><td>277,064</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>digital-agenda-indicators</td><td>351,174</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>linked-spending</td><td>347,101</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>lod-katrina</td><td>316,652</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>muziekweb</td><td>318,083</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>nanopubs</td><td>339,157</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>officegraph</td><td>310,235</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>openaire-lod</td><td>306,620</td><td></td></tr><tr><td>Read</td><td>SRX (XML)</td><td>osm2rdf-denmark</td><td>332,974</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>assist-iot-weather</td><td>32,851</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>assist-iot-weather-graphs</td><td>33,699</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>citypulse-traffic</td><td>33,118</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>citypulse-traffic-graphs</td><td>33,745</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>dbpedia-live</td><td>30,009</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>digital-agenda-indicators</td><td>32,862</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>lod-katrina</td><td>33,288</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>muziekweb</td><td>31,305</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>nanopubs</td><td>33,831</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>officegraph</td><td>31,582</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>openaire-lod</td><td>31,585</td><td></td></tr><tr><td>Read</td><td>TSV</td><td>osm2rdf-denmark</td><td>31,474</td><td></td></tr></tbody></table></div></details></div>
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diff --git a/snippets/performance/py-e-versions.data.html b/snippets/performance/py-e-versions.data.html
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diff --git a/snippets/performance/py-e-versions.html b/snippets/performance/py-e-versions.html
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diff --git a/snippets/performance/py-f-size-rdf-triples.data.html b/snippets/performance/py-f-size-rdf-triples.data.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Format</th><th>Raw (bytes/statement)</th><th>zstd</th></tr></thead><tbody><tr><td>Jelly (Graph API)</td><td>21.24</td><td>4.39</td></tr><tr><td>Jelly</td><td>22.04</td><td>4.58</td></tr><tr><td>Turtle</td><td>64.83</td><td>4.54</td></tr><tr><td>RDF/XML</td><td>105.46</td><td>6.32</td></tr><tr><td>JSON-LD</td><td>148.64</td><td>8.2</td></tr><tr><td>N-Triples</td><td>190.91</td><td>8.75</td></tr></tbody></table></div></details></div>
diff --git a/snippets/performance/py-f-size-rdf-triples.html b/snippets/performance/py-f-size-rdf-triples.html
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diff --git a/snippets/performance/py-f-size-sparql.data.html b/snippets/performance/py-f-size-sparql.data.html
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+++ b/snippets/performance/py-f-size-sparql.data.html
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diff --git a/snippets/performance/py-f-size-sparql.html b/snippets/performance/py-f-size-sparql.html
new file mode 100644
index 0000000..14cccee
--- /dev/null
+++ b/snippets/performance/py-f-size-sparql.html
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diff --git a/snippets/performance/py-i-size-summary.data.html b/snippets/performance/py-i-size-summary.data.html
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diff --git a/snippets/performance/py-i-size-summary.html b/snippets/performance/py-i-size-summary.html
new file mode 100644
index 0000000..9d5e2fb
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role="graphics-symbol" aria-roledescription="axis" aria-label="Y-axis for a discrete scale with 3 values: 0.8 (Jelly-RDF 1.0), 0.9 (Jelly-RDF 1.1), 0.9 (Jelly-RDF 1.2)"><g transform="translate(0.5,0.5)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-text role-axis-label" pointer-events="none"><text text-anchor="end" transform="translate(-2,18.450000000000003)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#1f2328" opacity="1">0.8 (Jelly-RDF 1.0)</text><text text-anchor="end" transform="translate(-2,48.35)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#1f2328" opacity="1">0.9 (Jelly-RDF 1.1)</text><text text-anchor="end" transform="translate(-2,78.25)" font-family="Roboto, 'Helvetica Neue', Arial, sans-serif" font-size="12px" fill="#1f2328" opacity="1">0.9 (Jelly-RDF 1.2)</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" 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diff --git a/snippets/performance/py-j-size-variants.data.html b/snippets/performance/py-j-size-variants.data.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Compression</th><th>Dataset</th><th>0.8 (Jelly-RDF 1.0)</th><th>0.9 (Jelly-RDF 1.1)</th><th>0.9 (Jelly-RDF 1.2)</th><th>1.2 vs 1.1 (%)</th></tr></thead><tbody><tr><td>zstd</td><td>assist-iot-weather</td><td>0.85</td><td>0.82</td><td>0.62</td><td>24</td></tr><tr><td>zstd</td><td>assist-iot-weather-graphs</td><td>0.54</td><td>0.49</td><td>0.33</td><td>32</td></tr><tr><td>zstd</td><td>citypulse-traffic</td><td>7.6</td><td>7.49</td><td>6.82</td><td>9</td></tr><tr><td>zstd</td><td>citypulse-traffic-graphs</td><td>8.12</td><td>7.61</td><td>6.9</td><td>9</td></tr><tr><td>zstd</td><td>dbpedia-live</td><td>11.46</td><td>9.83</td><td>9.07</td><td>8</td></tr><tr><td>zstd</td><td>digital-agenda-indicators</td><td>2.47</td><td>2.44</td><td>1.71</td><td>30</td></tr><tr><td>zstd</td><td>linked-spending</td><td>8.15</td><td>8.12</td><td>7.53</td><td>7</td></tr><tr><td>zstd</td><td>lod-katrina</td><td>2.74</td><td>2.37</td><td>2.11</td><td>11</td></tr><tr><td>zstd</td><td>muziekweb</td><td>14.05</td><td>13.72</td><td>13.04</td><td>5</td></tr><tr><td>zstd</td><td>nanopubs</td><td>6.5</td><td>5.8</td><td>5.16</td><td>11</td></tr><tr><td>zstd</td><td>officegraph</td><td>2.56</td><td>2.41</td><td>2.22</td><td>8</td></tr><tr><td>zstd</td><td>openaire-lod</td><td>19.31</td><td>18.97</td><td>18.34</td><td>3</td></tr><tr><td>zstd</td><td>osm2rdf-denmark</td><td>8.86</td><td>7.91</td><td>7.37</td><td>7</td></tr><tr><td>Uncompressed</td><td>assist-iot-weather</td><td>19.63</td><td>19.52</td><td>9.02</td><td>54</td></tr><tr><td>Uncompressed</td><td>assist-iot-weather-graphs</td><td>19.65</td><td>19.54</td><td>9.07</td><td>54</td></tr><tr><td>Uncompressed</td><td>citypulse-traffic</td><td>33.1</td><td>33.1</td><td>23.89</td><td>28</td></tr><tr><td>Uncompressed</td><td>citypulse-traffic-graphs</td><td>34.55</td><td>34.1</td><td>24.47</td><td>28</td></tr><tr><td>Uncompressed</td><td>dbpedia-live</td><td>42.08</td><td>39.73</td><td>29.02</td><td>27</td></tr><tr><td>Uncompressed</td><td>digital-agenda-indicators</td><td>22.37</td><td>22.37</td><td>11.54</td><td>48</td></tr><tr><td>Uncompressed</td><td>linked-spending</td><td>37.9</td><td>37.9</td><td>29.47</td><td>22</td></tr><tr><td>Uncompressed</td><td>lod-katrina</td><td>30.73</td><td>30.67</td><td>18.41</td><td>40</td></tr><tr><td>Uncompressed</td><td>muziekweb</td><td>43.94</td><td>43.81</td><td>32.17</td><td>27</td></tr><tr><td>Uncompressed</td><td>nanopubs</td><td>38.37</td><td>37.79</td><td>26.37</td><td>30</td></tr><tr><td>Uncompressed</td><td>officegraph</td><td>26.05</td><td>26.38</td><td>16.23</td><td>38</td></tr><tr><td>Uncompressed</td><td>openaire-lod</td><td>61.68</td><td>61.46</td><td>54.04</td><td>12</td></tr><tr><td>Uncompressed</td><td>osm2rdf-denmark</td><td>33.54</td><td>32.58</td><td>24.48</td><td>25</td></tr></tbody></table></div></details></div>
diff --git a/snippets/performance/py-j-size-variants.html b/snippets/performance/py-j-size-variants.html
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Library</th><th>Operation</th><th>Dataset</th><th>0.8 (Jelly-RDF 1.0)</th><th>0.9 (Jelly-RDF 1.1)</th><th>0.9 (Jelly-RDF 1.2)</th><th>1.2 vs 1.1</th></tr></thead><tbody><tr><td>Generic API</td><td>Write</td><td>assist-iot-weather</td><td>398,064</td><td>1,109,557</td><td>3,335,948</td><td>3.0×</td></tr><tr><td>Generic API</td><td>Write</td><td>assist-iot-weather-graphs</td><td>381,441</td><td>1,136,653</td><td>3,754,279</td><td>3.3×</td></tr><tr><td>Generic API</td><td>Write</td><td>citypulse-traffic</td><td>372,940</td><td>1,080,053</td><td>3,126,093</td><td>2.9×</td></tr><tr><td>Generic API</td><td>Write</td><td>citypulse-traffic-graphs</td><td>347,332</td><td>1,018,665</td><td>2,973,564</td><td>2.9×</td></tr><tr><td>Generic API</td><td>Write</td><td>dbpedia-live</td><td>299,685</td><td>786,843</td><td>1,846,528</td><td>2.3×</td></tr><tr><td>Generic API</td><td>Write</td><td>digital-agenda-indicators</td><td>392,559</td><td>1,115,158</td><td>3,492,524</td><td>3.1×</td></tr><tr><td>Generic API</td><td>Write</td><td>linked-spending</td><td>392,545</td><td>1,138,795</td><td>3,612,864</td><td>3.2×</td></tr><tr><td>Generic API</td><td>Write</td><td>lod-katrina</td><td>339,556</td><td>968,928</td><td>2,804,579</td><td>2.9×</td></tr><tr><td>Generic API</td><td>Write</td><td>muziekweb</td><td>344,645</td><td>953,223</td><td>2,661,662</td><td>2.8×</td></tr><tr><td>Generic API</td><td>Write</td><td>nanopubs</td><td>319,541</td><td>940,151</td><td>2,624,723</td><td>2.8×</td></tr><tr><td>Generic API</td><td>Write</td><td>officegraph</td><td>349,332</td><td>985,282</td><td>2,898,727</td><td>2.9×</td></tr><tr><td>Generic API</td><td>Write</td><td>openaire-lod</td><td>399,227</td><td>1,156,141</td><td>3,517,703</td><td>3.0×</td></tr><tr><td>Generic API</td><td>Write</td><td>osm2rdf-denmark</td><td>364,920</td><td>1,062,130</td><td>2,818,648</td><td>2.7×</td></tr><tr><td>RDFLib</td><td>Write</td><td>assist-iot-weather</td><td>331,808</td><td>954,091</td><td>2,325,027</td><td>2.4×</td></tr><tr><td>RDFLib</td><td>Write</td><td>assist-iot-weather-graphs</td><td>317,746</td><td>974,992</td><td>2,671,681</td><td>2.7×</td></tr><tr><td>RDFLib</td><td>Write</td><td>citypulse-traffic</td><td>308,660</td><td>919,777</td><td>2,129,673</td><td>2.3×</td></tr><tr><td>RDFLib</td><td>Write</td><td>citypulse-traffic-graphs</td><td>286,127</td><td>867,497</td><td>2,092,595</td><td>2.4×</td></tr><tr><td>RDFLib</td><td>Write</td><td>dbpedia-live</td><td>253,174</td><td>701,292</td><td>1,446,528</td><td>2.1×</td></tr><tr><td>RDFLib</td><td>Write</td><td>digital-agenda-indicators</td><td>331,117</td><td>969,737</td><td>2,500,778</td><td>2.6×</td></tr><tr><td>RDFLib</td><td>Write</td><td>linked-spending</td><td>323,432</td><td>966,170</td><td>2,496,262</td><td>2.6×</td></tr><tr><td>RDFLib</td><td>Write</td><td>lod-katrina</td><td>289,622</td><td>849,425</td><td>2,147,602</td><td>2.5×</td></tr><tr><td>RDFLib</td><td>Write</td><td>muziekweb</td><td>282,581</td><td>832,353</td><td>1,989,737</td><td>2.4×</td></tr><tr><td>RDFLib</td><td>Write</td><td>nanopubs</td><td>271,350</td><td>831,383</td><td>1,980,348</td><td>2.4×</td></tr><tr><td>RDFLib</td><td>Write</td><td>officegraph</td><td>291,546</td><td>849,528</td><td>2,088,426</td><td>2.5×</td></tr><tr><td>RDFLib</td><td>Write</td><td>openaire-lod</td><td>330,360</td><td>1,002,653</td><td>2,623,669</td><td>2.6×</td></tr><tr><td>RDFLib</td><td>Write</td><td>osm2rdf-denmark</td><td>309,273</td><td>948,031</td><td>2,228,573</td><td>2.4×</td></tr><tr><td>Generic API</td><td>Read</td><td>assist-iot-weather</td><td>698,599</td><td>1,024,231</td><td>4,774,153</td><td>4.7×</td></tr><tr><td>Generic API</td><td>Read</td><td>assist-iot-weather-graphs</td><td>631,962</td><td>988,962</td><td>4,508,324</td><td>4.6×</td></tr><tr><td>Generic API</td><td>Read</td><td>citypulse-traffic</td><td>648,501</td><td>958,675</td><td>4,275,766</td><td>4.5×</td></tr><tr><td>Generic API</td><td>Read</td><td>citypulse-traffic-graphs</td><td>587,689</td><td>919,977</td><td>3,997,295</td><td>4.3×</td></tr><tr><td>Generic API</td><td>Read</td><td>dbpedia-live</td><td>551,355</td><td>719,752</td><td>2,529,275</td><td>3.5×</td></tr><tr><td>Generic API</td><td>Read</td><td>digital-agenda-indicators</td><td>707,860</td><td>1,009,623</td><td>5,040,248</td><td>5.0×</td></tr><tr><td>Generic API</td><td>Read</td><td>linked-spending</td><td>662,637</td><td>945,439</td><td>3,879,073</td><td>4.1×</td></tr><tr><td>Generic API</td><td>Read</td><td>lod-katrina</td><td>624,854</td><td>935,499</td><td>4,416,853</td><td>4.7×</td></tr><tr><td>Generic API</td><td>Read</td><td>muziekweb</td><td>597,594</td><td>766,163</td><td>2,620,170</td><td>3.4×</td></tr><tr><td>Generic API</td><td>Read</td><td>nanopubs</td><td>567,489</td><td>875,241</td><td>3,844,533</td><td>4.4×</td></tr><tr><td>Generic API</td><td>Read</td><td>officegraph</td><td>623,889</td><td>914,098</td><td>4,194,588</td><td>4.6×</td></tr><tr><td>Generic API</td><td>Read</td><td>openaire-lod</td><td>687,697</td><td>950,421</td><td>3,503,062</td><td>3.7×</td></tr><tr><td>Generic API</td><td>Read</td><td>osm2rdf-denmark</td><td>681,732</td><td>942,813</td><td>3,470,042</td><td>3.7×</td></tr><tr><td>RDFLib</td><td>Read</td><td>assist-iot-weather</td><td>412,358</td><td>983,395</td><td>4,159,400</td><td>4.2×</td></tr><tr><td>RDFLib</td><td>Read</td><td>assist-iot-weather-graphs</td><td>384,123</td><td>938,090</td><td>3,829,270</td><td>4.1×</td></tr><tr><td>RDFLib</td><td>Read</td><td>citypulse-traffic</td><td>400,448</td><td>876,231</td><td>3,273,744</td><td>3.7×</td></tr><tr><td>RDFLib</td><td>Read</td><td>citypulse-traffic-graphs</td><td>365,892</td><td>845,476</td><td>3,128,880</td><td>3.7×</td></tr><tr><td>RDFLib</td><td>Read</td><td>dbpedia-live</td><td>273,835</td><td>478,394</td><td>997,753</td><td>2.1×</td></tr><tr><td>RDFLib</td><td>Read</td><td>digital-agenda-indicators</td><td>437,550</td><td>823,823</td><td>2,517,802</td><td>3.1×</td></tr><tr><td>RDFLib</td><td>Read</td><td>linked-spending</td><td>395,584</td><td>800,377</td><td>2,489,345</td><td>3.1×</td></tr><tr><td>RDFLib</td><td>Read</td><td>lod-katrina</td><td>408,052</td><td>895,368</td><td>3,891,334</td><td>4.3×</td></tr><tr><td>RDFLib</td><td>Read</td><td>muziekweb</td><td>350,855</td><td>551,758</td><td>1,254,932</td><td>2.3×</td></tr><tr><td>RDFLib</td><td>Read</td><td>nanopubs</td><td>367,226</td><td>842,187</td><td>3,325,920</td><td>3.9×</td></tr><tr><td>RDFLib</td><td>Read</td><td>officegraph</td><td>338,770</td><td>882,282</td><td>3,688,611</td><td>4.2×</td></tr><tr><td>RDFLib</td><td>Read</td><td>openaire-lod</td><td>417,099</td><td>755,370</td><td>1,993,550</td><td>2.6×</td></tr><tr><td>RDFLib</td><td>Read</td><td>osm2rdf-denmark</td><td>424,717</td><td>702,694</td><td>1,674,190</td><td>2.4×</td></tr></tbody></table></div></details></div>
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+<div class="jelly-chart"><details class="jc-data"><summary>Data behind this chart</summary><div class="jc-table"><table><thead><tr><th>Library</th><th>Operation</th><th>Dataset</th><th>Version</th><th>Size (bytes/statement)</th><th>Throughput (statements/s)</th></tr></thead><tbody><tr><td>Generic API</td><td>Write</td><td>assist-iot-weather</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.63</td><td>398,064</td></tr><tr><td>Generic API</td><td>Write</td><td>assist-iot-weather</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.02</td><td>3,335,948</td></tr><tr><td>Generic API</td><td>Write</td><td>assist-iot-weather-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.65</td><td>381,441</td></tr><tr><td>Generic API</td><td>Write</td><td>assist-iot-weather-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.07</td><td>3,754,279</td></tr><tr><td>Generic API</td><td>Write</td><td>citypulse-traffic</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.1</td><td>372,940</td></tr><tr><td>Generic API</td><td>Write</td><td>citypulse-traffic</td><td>0.9 (Jelly-RDF 1.2)</td><td>23.89</td><td>3,126,093</td></tr><tr><td>Generic API</td><td>Write</td><td>citypulse-traffic-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>34.55</td><td>347,332</td></tr><tr><td>Generic API</td><td>Write</td><td>citypulse-traffic-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.47</td><td>2,973,564</td></tr><tr><td>Generic API</td><td>Write</td><td>dbpedia-live</td><td>0.8 (Jelly-RDF 1.0)</td><td>42.08</td><td>299,685</td></tr><tr><td>Generic API</td><td>Write</td><td>dbpedia-live</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.02</td><td>1,846,528</td></tr><tr><td>Generic API</td><td>Write</td><td>digital-agenda-indicators</td><td>0.8 (Jelly-RDF 1.0)</td><td>22.37</td><td>392,559</td></tr><tr><td>Generic API</td><td>Write</td><td>digital-agenda-indicators</td><td>0.9 (Jelly-RDF 1.2)</td><td>11.54</td><td>3,492,524</td></tr><tr><td>Generic API</td><td>Write</td><td>linked-spending</td><td>0.8 (Jelly-RDF 1.0)</td><td>37.9</td><td>392,545</td></tr><tr><td>Generic API</td><td>Write</td><td>linked-spending</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.47</td><td>3,612,864</td></tr><tr><td>Generic API</td><td>Write</td><td>lod-katrina</td><td>0.8 (Jelly-RDF 1.0)</td><td>30.73</td><td>339,556</td></tr><tr><td>Generic API</td><td>Write</td><td>lod-katrina</td><td>0.9 (Jelly-RDF 1.2)</td><td>18.41</td><td>2,804,579</td></tr><tr><td>Generic API</td><td>Write</td><td>muziekweb</td><td>0.8 (Jelly-RDF 1.0)</td><td>43.94</td><td>344,645</td></tr><tr><td>Generic API</td><td>Write</td><td>muziekweb</td><td>0.9 (Jelly-RDF 1.2)</td><td>32.17</td><td>2,661,662</td></tr><tr><td>Generic API</td><td>Write</td><td>nanopubs</td><td>0.8 (Jelly-RDF 1.0)</td><td>38.37</td><td>319,541</td></tr><tr><td>Generic API</td><td>Write</td><td>nanopubs</td><td>0.9 (Jelly-RDF 1.2)</td><td>26.37</td><td>2,624,723</td></tr><tr><td>Generic API</td><td>Write</td><td>officegraph</td><td>0.8 (Jelly-RDF 1.0)</td><td>26.05</td><td>349,332</td></tr><tr><td>Generic API</td><td>Write</td><td>officegraph</td><td>0.9 (Jelly-RDF 1.2)</td><td>16.23</td><td>2,898,727</td></tr><tr><td>Generic API</td><td>Write</td><td>openaire-lod</td><td>0.8 (Jelly-RDF 1.0)</td><td>61.68</td><td>399,227</td></tr><tr><td>Generic API</td><td>Write</td><td>openaire-lod</td><td>0.9 (Jelly-RDF 1.2)</td><td>54.04</td><td>3,517,703</td></tr><tr><td>Generic API</td><td>Write</td><td>osm2rdf-denmark</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.54</td><td>364,920</td></tr><tr><td>Generic API</td><td>Write</td><td>osm2rdf-denmark</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.48</td><td>2,818,648</td></tr><tr><td>RDFLib</td><td>Write</td><td>assist-iot-weather</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.63</td><td>331,808</td></tr><tr><td>RDFLib</td><td>Write</td><td>assist-iot-weather</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.02</td><td>2,325,027</td></tr><tr><td>RDFLib</td><td>Write</td><td>assist-iot-weather-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.65</td><td>317,746</td></tr><tr><td>RDFLib</td><td>Write</td><td>assist-iot-weather-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.07</td><td>2,671,681</td></tr><tr><td>RDFLib</td><td>Write</td><td>citypulse-traffic</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.1</td><td>308,660</td></tr><tr><td>RDFLib</td><td>Write</td><td>citypulse-traffic</td><td>0.9 (Jelly-RDF 1.2)</td><td>23.89</td><td>2,129,673</td></tr><tr><td>RDFLib</td><td>Write</td><td>citypulse-traffic-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>34.55</td><td>286,127</td></tr><tr><td>RDFLib</td><td>Write</td><td>citypulse-traffic-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.47</td><td>2,092,595</td></tr><tr><td>RDFLib</td><td>Write</td><td>dbpedia-live</td><td>0.8 (Jelly-RDF 1.0)</td><td>42.08</td><td>253,174</td></tr><tr><td>RDFLib</td><td>Write</td><td>dbpedia-live</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.02</td><td>1,446,528</td></tr><tr><td>RDFLib</td><td>Write</td><td>digital-agenda-indicators</td><td>0.8 (Jelly-RDF 1.0)</td><td>22.37</td><td>331,117</td></tr><tr><td>RDFLib</td><td>Write</td><td>digital-agenda-indicators</td><td>0.9 (Jelly-RDF 1.2)</td><td>11.54</td><td>2,500,778</td></tr><tr><td>RDFLib</td><td>Write</td><td>linked-spending</td><td>0.8 (Jelly-RDF 1.0)</td><td>37.9</td><td>323,432</td></tr><tr><td>RDFLib</td><td>Write</td><td>linked-spending</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.47</td><td>2,496,262</td></tr><tr><td>RDFLib</td><td>Write</td><td>lod-katrina</td><td>0.8 (Jelly-RDF 1.0)</td><td>30.73</td><td>289,622</td></tr><tr><td>RDFLib</td><td>Write</td><td>lod-katrina</td><td>0.9 (Jelly-RDF 1.2)</td><td>18.41</td><td>2,147,602</td></tr><tr><td>RDFLib</td><td>Write</td><td>muziekweb</td><td>0.8 (Jelly-RDF 1.0)</td><td>43.94</td><td>282,581</td></tr><tr><td>RDFLib</td><td>Write</td><td>muziekweb</td><td>0.9 (Jelly-RDF 1.2)</td><td>32.17</td><td>1,989,737</td></tr><tr><td>RDFLib</td><td>Write</td><td>nanopubs</td><td>0.8 (Jelly-RDF 1.0)</td><td>38.37</td><td>271,350</td></tr><tr><td>RDFLib</td><td>Write</td><td>nanopubs</td><td>0.9 (Jelly-RDF 1.2)</td><td>26.37</td><td>1,980,348</td></tr><tr><td>RDFLib</td><td>Write</td><td>officegraph</td><td>0.8 (Jelly-RDF 1.0)</td><td>26.05</td><td>291,546</td></tr><tr><td>RDFLib</td><td>Write</td><td>officegraph</td><td>0.9 (Jelly-RDF 1.2)</td><td>16.23</td><td>2,088,426</td></tr><tr><td>RDFLib</td><td>Write</td><td>openaire-lod</td><td>0.8 (Jelly-RDF 1.0)</td><td>61.68</td><td>330,360</td></tr><tr><td>RDFLib</td><td>Write</td><td>openaire-lod</td><td>0.9 (Jelly-RDF 1.2)</td><td>54.04</td><td>2,623,669</td></tr><tr><td>RDFLib</td><td>Write</td><td>osm2rdf-denmark</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.54</td><td>309,273</td></tr><tr><td>RDFLib</td><td>Write</td><td>osm2rdf-denmark</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.48</td><td>2,228,573</td></tr><tr><td>Generic API</td><td>Read</td><td>assist-iot-weather</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.63</td><td>698,599</td></tr><tr><td>Generic API</td><td>Read</td><td>assist-iot-weather</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.02</td><td>4,774,153</td></tr><tr><td>Generic API</td><td>Read</td><td>assist-iot-weather-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.65</td><td>631,962</td></tr><tr><td>Generic API</td><td>Read</td><td>assist-iot-weather-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.07</td><td>4,508,324</td></tr><tr><td>Generic API</td><td>Read</td><td>citypulse-traffic</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.1</td><td>648,501</td></tr><tr><td>Generic API</td><td>Read</td><td>citypulse-traffic</td><td>0.9 (Jelly-RDF 1.2)</td><td>23.89</td><td>4,275,766</td></tr><tr><td>Generic API</td><td>Read</td><td>citypulse-traffic-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>34.55</td><td>587,689</td></tr><tr><td>Generic API</td><td>Read</td><td>citypulse-traffic-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.47</td><td>3,997,295</td></tr><tr><td>Generic API</td><td>Read</td><td>dbpedia-live</td><td>0.8 (Jelly-RDF 1.0)</td><td>42.08</td><td>551,355</td></tr><tr><td>Generic API</td><td>Read</td><td>dbpedia-live</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.02</td><td>2,529,275</td></tr><tr><td>Generic API</td><td>Read</td><td>digital-agenda-indicators</td><td>0.8 (Jelly-RDF 1.0)</td><td>22.37</td><td>707,860</td></tr><tr><td>Generic API</td><td>Read</td><td>digital-agenda-indicators</td><td>0.9 (Jelly-RDF 1.2)</td><td>11.54</td><td>5,040,248</td></tr><tr><td>Generic API</td><td>Read</td><td>linked-spending</td><td>0.8 (Jelly-RDF 1.0)</td><td>37.9</td><td>662,637</td></tr><tr><td>Generic API</td><td>Read</td><td>linked-spending</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.47</td><td>3,879,073</td></tr><tr><td>Generic API</td><td>Read</td><td>lod-katrina</td><td>0.8 (Jelly-RDF 1.0)</td><td>30.73</td><td>624,854</td></tr><tr><td>Generic API</td><td>Read</td><td>lod-katrina</td><td>0.9 (Jelly-RDF 1.2)</td><td>18.41</td><td>4,416,853</td></tr><tr><td>Generic API</td><td>Read</td><td>muziekweb</td><td>0.8 (Jelly-RDF 1.0)</td><td>43.94</td><td>597,594</td></tr><tr><td>Generic API</td><td>Read</td><td>muziekweb</td><td>0.9 (Jelly-RDF 1.2)</td><td>32.17</td><td>2,620,170</td></tr><tr><td>Generic API</td><td>Read</td><td>nanopubs</td><td>0.8 (Jelly-RDF 1.0)</td><td>38.37</td><td>567,489</td></tr><tr><td>Generic API</td><td>Read</td><td>nanopubs</td><td>0.9 (Jelly-RDF 1.2)</td><td>26.37</td><td>3,844,533</td></tr><tr><td>Generic API</td><td>Read</td><td>officegraph</td><td>0.8 (Jelly-RDF 1.0)</td><td>26.05</td><td>623,889</td></tr><tr><td>Generic API</td><td>Read</td><td>officegraph</td><td>0.9 (Jelly-RDF 1.2)</td><td>16.23</td><td>4,194,588</td></tr><tr><td>Generic API</td><td>Read</td><td>openaire-lod</td><td>0.8 (Jelly-RDF 1.0)</td><td>61.68</td><td>687,697</td></tr><tr><td>Generic API</td><td>Read</td><td>openaire-lod</td><td>0.9 (Jelly-RDF 1.2)</td><td>54.04</td><td>3,503,062</td></tr><tr><td>Generic API</td><td>Read</td><td>osm2rdf-denmark</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.54</td><td>681,732</td></tr><tr><td>Generic API</td><td>Read</td><td>osm2rdf-denmark</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.48</td><td>3,470,042</td></tr><tr><td>RDFLib</td><td>Read</td><td>assist-iot-weather</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.63</td><td>412,358</td></tr><tr><td>RDFLib</td><td>Read</td><td>assist-iot-weather</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.02</td><td>4,159,400</td></tr><tr><td>RDFLib</td><td>Read</td><td>assist-iot-weather-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>19.65</td><td>384,123</td></tr><tr><td>RDFLib</td><td>Read</td><td>assist-iot-weather-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>9.07</td><td>3,829,270</td></tr><tr><td>RDFLib</td><td>Read</td><td>citypulse-traffic</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.1</td><td>400,448</td></tr><tr><td>RDFLib</td><td>Read</td><td>citypulse-traffic</td><td>0.9 (Jelly-RDF 1.2)</td><td>23.89</td><td>3,273,744</td></tr><tr><td>RDFLib</td><td>Read</td><td>citypulse-traffic-graphs</td><td>0.8 (Jelly-RDF 1.0)</td><td>34.55</td><td>365,892</td></tr><tr><td>RDFLib</td><td>Read</td><td>citypulse-traffic-graphs</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.47</td><td>3,128,880</td></tr><tr><td>RDFLib</td><td>Read</td><td>dbpedia-live</td><td>0.8 (Jelly-RDF 1.0)</td><td>42.08</td><td>273,835</td></tr><tr><td>RDFLib</td><td>Read</td><td>dbpedia-live</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.02</td><td>997,753</td></tr><tr><td>RDFLib</td><td>Read</td><td>digital-agenda-indicators</td><td>0.8 (Jelly-RDF 1.0)</td><td>22.37</td><td>437,550</td></tr><tr><td>RDFLib</td><td>Read</td><td>digital-agenda-indicators</td><td>0.9 (Jelly-RDF 1.2)</td><td>11.54</td><td>2,517,802</td></tr><tr><td>RDFLib</td><td>Read</td><td>linked-spending</td><td>0.8 (Jelly-RDF 1.0)</td><td>37.9</td><td>395,584</td></tr><tr><td>RDFLib</td><td>Read</td><td>linked-spending</td><td>0.9 (Jelly-RDF 1.2)</td><td>29.47</td><td>2,489,345</td></tr><tr><td>RDFLib</td><td>Read</td><td>lod-katrina</td><td>0.8 (Jelly-RDF 1.0)</td><td>30.73</td><td>408,052</td></tr><tr><td>RDFLib</td><td>Read</td><td>lod-katrina</td><td>0.9 (Jelly-RDF 1.2)</td><td>18.41</td><td>3,891,334</td></tr><tr><td>RDFLib</td><td>Read</td><td>muziekweb</td><td>0.8 (Jelly-RDF 1.0)</td><td>43.94</td><td>350,855</td></tr><tr><td>RDFLib</td><td>Read</td><td>muziekweb</td><td>0.9 (Jelly-RDF 1.2)</td><td>32.17</td><td>1,254,932</td></tr><tr><td>RDFLib</td><td>Read</td><td>nanopubs</td><td>0.8 (Jelly-RDF 1.0)</td><td>38.37</td><td>367,226</td></tr><tr><td>RDFLib</td><td>Read</td><td>nanopubs</td><td>0.9 (Jelly-RDF 1.2)</td><td>26.37</td><td>3,325,920</td></tr><tr><td>RDFLib</td><td>Read</td><td>officegraph</td><td>0.8 (Jelly-RDF 1.0)</td><td>26.05</td><td>338,770</td></tr><tr><td>RDFLib</td><td>Read</td><td>officegraph</td><td>0.9 (Jelly-RDF 1.2)</td><td>16.23</td><td>3,688,611</td></tr><tr><td>RDFLib</td><td>Read</td><td>openaire-lod</td><td>0.8 (Jelly-RDF 1.0)</td><td>61.68</td><td>417,099</td></tr><tr><td>RDFLib</td><td>Read</td><td>openaire-lod</td><td>0.9 (Jelly-RDF 1.2)</td><td>54.04</td><td>1,993,550</td></tr><tr><td>RDFLib</td><td>Read</td><td>osm2rdf-denmark</td><td>0.8 (Jelly-RDF 1.0)</td><td>33.54</td><td>424,717</td></tr><tr><td>RDFLib</td><td>Read</td><td>osm2rdf-denmark</td><td>0.9 (Jelly-RDF 1.2)</td><td>24.48</td><td>1,674,190</td></tr></tbody></table></div></details></div>
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opacity="1">bytes/statement (log)</text></g></g><path class="foreground" aria-hidden="true" d="" pointer-events="none" display="none"/></g></g><g class="mark-group role-axis" role="graphics-symbol" aria-roledescription="axis" aria-label="Y-axis titled 'statements/s (log)' for a log scale with values from 200,000 to 10,000,000"><g transform="translate(0.5,0.5)"><path class="background" aria-hidden="true" d="M0,0h0v0h0Z" pointer-events="none"/><g><g class="mark-rule role-axis-tick" pointer-events="none"><line transform="translate(0,210)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,161)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,124)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,86)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line transform="translate(0,37)" x2="-5" y2="0" stroke="#9aa1ab" stroke-width="1" opacity="1"/><line 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