GoldenCheetah
scikit-sports
Python

Sports analysis library for Python

Last updated Sep 10, 2025
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README

Scikit-sports =============

.. image:: https://travis-ci.org/GoldenCheetah/scikit-sports.svg?branch=master :target: https://travis-ci.org/GoldenCheetah/scikit-sports .. image:: https://ci.appveyor.com/api/projects/status/tei5gfnma8uxf7u8?svg=true :target: https://ci.appveyor.com/project/glemaitre/scikit-sports

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Installation


Dependencies ~~~~

Scikit-sports requires:

  • scipy
  • numpy
  • pandas
  • six
  • fit-parse
  • joblib
  • scikit-learn

Installation ~~~~

`scikit-sports is currently available on the PyPi’s reporitories and you can install it via pip::

pip install -U scikit-sports

The package is release also in conda-forge::

conda install -c conda-forge scikit-sports

If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from Github and install all dependencies::

git clone https://github.com/scikit-sports/scikit-sports.git cd scikit-sports pip install .

Or install using pip` and GitHub::

pip install -U git+https://github.com/scikit-sports/scikit-sports.git

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