Skip to main content

Wrapper library for F1 data and telemetry API with additional data processing capabilities.

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

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

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

fastf1-3.0.7.tar.gz (106.3 kB view details)

Uploaded Source

Built Distribution

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

fastf1-3.0.7-py3-none-any.whl (114.2 kB view details)

Uploaded Python 3

File details

Details for the file fastf1-3.0.7.tar.gz.

File metadata

  • Download URL: fastf1-3.0.7.tar.gz
  • Upload date:
  • Size: 106.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for fastf1-3.0.7.tar.gz
Algorithm Hash digest
SHA256 0f520d832e5aa97d6fa81c45730c96e640f5e073d0bdf9aafe618b888f3daf9b
MD5 cd188ea90d0148c1a411f712fbcf9baa
BLAKE2b-256 1d18b581ea6613a2c7bf9efe77df0e1fa31cee82eb947c7e0ac921b421050b74

See more details on using hashes here.

File details

Details for the file fastf1-3.0.7-py3-none-any.whl.

File metadata

  • Download URL: fastf1-3.0.7-py3-none-any.whl
  • Upload date:
  • Size: 114.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for fastf1-3.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 42cf87d7d53be754115411b1a9db9e826be5a371f1b3c3bda3c8287cfb2e674f
MD5 6a96505de9dec884236e772872daeb8e
BLAKE2b-256 99ae293138e23b2c98abb4fcebe477a5143288ac94c31c4487586e3139aa9557

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