Skip to main content

Python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry.

Project description

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

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

You can also install using conda:

conda install -c conda-forge fastf1

Third-party packages

Third-party packages are not directly related to the FastF1 project. Questions and suggestions regarding these packages need to be directed at their respective maintainers.

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

Buy Me A Coffee

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastf1-3.3.5.tar.gz (126.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fastf1-3.3.5-py3-none-any.whl (129.9 kB view details)

Uploaded Python 3

File details

Details for the file fastf1-3.3.5.tar.gz.

File metadata

  • Download URL: fastf1-3.3.5.tar.gz
  • Upload date:
  • Size: 126.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for fastf1-3.3.5.tar.gz
Algorithm Hash digest
SHA256 ed9e200b3d863afeb817fa428991af305663b46d958f8485fd17bf5002c60884
MD5 5d32ea4e59debcb61ed5d33a6f47d198
BLAKE2b-256 978897ee944ace5659eda4ba9335f17f53026d13e2988d56e36f480c1db861b8

See more details on using hashes here.

File details

Details for the file fastf1-3.3.5-py3-none-any.whl.

File metadata

  • Download URL: fastf1-3.3.5-py3-none-any.whl
  • Upload date:
  • Size: 129.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for fastf1-3.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 d1d0dc97a113d1348bb37fdd4e3954d7679d3de59655ff9a107224ef51a9ccaa
MD5 737f4db40149adf757a81c5c6f9ddc4b
BLAKE2b-256 a2f0ab9b7b913602d29f14b61d25d31f6b639922565a4b7db34f66bb3a3454a8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page