Benchmarking suit for dataframe libraries, such as modin.
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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