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

fastf1-3.1.6.tar.gz (113.5 kB view details)

Uploaded Source

Built Distribution

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

fastf1-3.1.6-py3-none-any.whl (122.6 kB view details)

Uploaded Python 3

File details

Details for the file fastf1-3.1.6.tar.gz.

File metadata

  • Download URL: fastf1-3.1.6.tar.gz
  • Upload date:
  • Size: 113.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for fastf1-3.1.6.tar.gz
Algorithm Hash digest
SHA256 1ffa50807f8da1165ddb920e0da0d31fa173f67d84f705167c9d1cdfe0dba9e1
MD5 6ffd15a0c72e17b7679b3520a0186925
BLAKE2b-256 2f49744e1bf786354aff60566683aefa236b9a69861d7c35805d020c936e90ff

See more details on using hashes here.

File details

Details for the file fastf1-3.1.6-py3-none-any.whl.

File metadata

  • Download URL: fastf1-3.1.6-py3-none-any.whl
  • Upload date:
  • Size: 122.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for fastf1-3.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 bc54a4f8c0bbb82a878d1ff9682595a0f026e36d2904e001fa299d9ffad6426f
MD5 6b8aedeb3cfbd6300e22fec0e6011230
BLAKE2b-256 2c945f27563673a825fb89714cb6c3dca058dba076f12e30ab8269045615b3a0

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