###################### Introduction to FastF1 ###################### .. toctree:: :hidden: getting_started/index gen_modules/examples_gallery/index api_reference/index data_reference/index changelog/index contributing/index FastF1 gives you access to F1 lap timing, car telemetry and position, tyre data, weather data, the event schedule and session results. .. raw:: html
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Getting
Started

Examples and tutorials to help you get started

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API
Reference

Documentation of classes and functions

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Data
Reference

Documentation of the available data

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Example
Gallery

Examples showing FastF1's capabilities

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Development
 

How to contribute and help improve FastF1

======== Features ======== - Access to F1 timing data, telemetry, sessions results and more - Full support for the Ergast compatible `jolpica-f1 `_ API 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 .. To get a quick overview over how to use FastF1, check out :doc:`examples/index` or the :doc:`gen_modules/examples_gallery/index`. Note that FastF1 handles big chunks of data (~50-100mb per session). To improve performance, data is per default cached locally. The default placement of the cache is operating system specific. A custom location can be set if desired. For more information see :class:`~fastf1.req.Cache`. ================= Third-party Tools ================= These packages are not directly related to the FastF1 project. Questions and suggestions regarding these packages need to be directed at their respective maintainers. SDKs ---- - **f1dataR**: R package that wraps FastF1 (https://cran.r-project.org/package=f1dataR) Websites -------- - **GP Tempo**: Web App for exploring F1 Telemetry Data (https://www.gp-tempo.com/) - **Armchair Strategist**: Strategy dashboard for all F1 races since 2018 (https://armchair-strategist.dev/) ======================================================== Questions, Contacting the Maintainer and Code of Conduct ======================================================== For questions that may be of interest to the whole community, please use the Github `Discussions `_ section to ask for help. This includes general support questions. In case of questions that you need to discuss privately, feel free to contact me via email at oehrly@mailbox.org. Any requests to this address will be treated with confidentiality, if desired. **Do not use this email address for general support requests! Such requests will likely be ignored.** FastF1 has a `Code of Conduct `_. Complaints about a perceived breach of this code of conduct should be sent to oehrly@mailbox.org, in almost all cases. Please refer to the Code of Conduct, available through the main page of the GitHub repository (or click `here `_), for information on how breaches are reported, how the Code of Conduct is enforced and what values FastF1 encourages. ====== 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.