https://github.com/theOehrly/Fast-F1

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
https://github.com/theOehrly/Fast-F1

datascience formula1 motorsport

Last synced: 14 days ago
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FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

• Host: GitHub
• URL: https://github.com/theOehrly/Fast-F1
• Owner: theOehrly
• License: mit
• Created: 2020-04-18T10:00:31.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-16T19:19:57.000Z (23 days ago)
• Last Synced: 2024-10-18T18:41:21.164Z (21 days ago)
• Topics: datascience, formula1, motorsport
• Language: Python
• Homepage: https://docs.fastf1.dev
• Size: 41.9 MB
• Stars: 2,474
• Watchers: 39
• Forks: 259
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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• starred - theOehrly/Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry (Python)

README

        
# FastF1

FastF1 is a python package for accessing and analyzing Formula 1 results,

schedules, timing data and telemetry.

![](docs/_static/readme.png "banner")

## Main Features

- Access to F1 timing data, telemetry, sessions results and more

- Full support for [Ergast](http://ergast.com/mrd/) 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`:

```commandline

pip install fastf1

```

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

You can also install using `conda`:

```commandline

conda install -c conda-forge fastf1

```

### Third-party packages

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

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](https://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.