Benchmarking suit for dataframe libraries, such as modin.

Full documentation

pip install .

If you want to use SQL database for result storage install with [reporting]: pip install ".[reporting]"

We recommend using dedicated conda environment to run benchmarks.

Main script is called benchmark-run. benchmark-run -h will show all parameters.

Results can be stored in SQL database and visualized using Grafana charts, xlsx or any other tool capable of extracting SQL data.

If you are a developer you might benefit from installing code style tools and testing dependencies:

pip install -r requirements/dev_reqs.txt

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