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• Access to F1 timing data, telemetry, sessions results and more
• Full support for the Ergast compatiblejolpica-f1 API to access current andhistorical F1 data
• All data is provided in the form of extended Pandas DataFrames to makeworking with the data easy while having powerful tools available
• Adds custom functions to the Pandas objects specifically to make workingwith F1 data quick and simple
• Integration with Matplotlib to facilitate data visualization
• Implements caching for all API requests to speed up your scripts

It is recommended to install FastF1 usingpip:

pip install fastf1

Alternatively, a wheel or a source distribution can be downloaded from Pypi.

You can also install usingconda:

conda install -c conda-forge fastf1

FastF1 should be mostly compatible with Pyodide and other WASM-basedenvironments, although this is not extensively tested. Currently, theinstallation and usage require some additional steps. You can find moreinformation and a guide inthis external repositoryand the discussion inthis issue.

• R package that wraps FastF1:https://cran.r-project.org/package=f1dataR

Third-party packages are not directly related to the FastF1 project. Questionsand suggestions regarding these packages need to be directed at theirrespective maintainers.

The official documentation can be found here:docs.fastf1.dev

If you want to support the continuous development of FastF1, you can sponsor meon GitHub or buy me a coffee.

https://github.com/sponsors/theOehrly

FastF1 and this website are unofficial and are not associated in any way withthe Formula 1 companies. F1, FORMULA ONE, FORMULA 1, FIA FORMULA ONE WORLDCHAMPIONSHIP, GRAND PRIX and related marks are trade marks of Formula OneLicensing B.V.