Plotly-Resampler benchmarks

This repository withholds the benchmark results and visualization code of the plotly_resampler paper and toolkit.

Flow

The benchmark process follows these steps for each visualization-configuration:

1. Each toolkit-visualization configuration script is called 10 times to average out the memory usage and runtime. Remark that by re-calling the script in separate runs, no caching or memory is shared among executions.
2. Script execution:
   1. Construct the synthetic visualization data
   2. VizTracer starts logging
   3. Construct the visualization according to the configuration
   4. Wait till the graph is rendered in a selenium browser.
   5. VizTracer stops logging
   6. Write the VizTracer results to a JSON-file

The existing benchmark JSONs were collected on a desktop with an AMD Ryzen 5 2600x @3.8Ghz CPU and 48GB RAM, with Arch Linux as operating system. Other running processes were limited to a minimum.

more information about these outcomes can be found in the reports readme.

Instructions

To install the required dependencies, just run:

poetry install

If you want to re-run the benchmarks, use the run_scripts notebook to generate new benchmark JSONs and then visualize them with the benchmark visualization notebook.

Contributing

We are open to new-benchmark use-cases via pull-requests!

Examples of other interesting benchmarks are

• other data properties
• other eligible tools
• benchmarking graph-interaction response time.

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👤 Jonas Van Der Donckt