iq-scm / fast-f1

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

FastF1

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry.

Main Features

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

Installation

It is recommended to install FastF1 using pip:

pip install fastf1

Note that Python 3.8 or higher is required.

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

You can also install using conda:

conda install -c conda-forge fastf1

Documentation

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

Supporting the Project

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

https://github.com/sponsors/theOehrly

Notice

FastF1 and this website are unofficial and are not associated in any way with the Formula 1 companies. F1, FORMULA ONE, FORMULA 1, FIA FORMULA ONE WORLD CHAMPIONSHIP, GRAND PRIX and related marks are trade marks of Formula One Licensing B.V.