IAmTomShaw

    IAmTomShaw/f1-race-replay

    An interactive Formula 1 race visualisation and data analysis tool built with Python! 🏎️

    backend
    f1
    formula1
    formula1-data-analysis
    Python
    6.9K stars
    907 forks
    6.9K GitHub watchers
    Updated Nov 4, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 48 contributors on GitHub.

    Use Cases & Benefits

    • Visualizes Formula 1 race telemetry and replays race events with interactive controls and a graphical interface.
    • Provides real-time driver positions, telemetry insights, and interactive playback controls for detailed race analysis.
    • Use for analyzing race strategies and driver performance through detailed telemetry visualization and replay.
    • Use for developing educational tools or presentations that demonstrate Formula 1 race dynamics interactively.
    • Use for creating custom visualizations or extending telemetry data analysis for qualifying and sprint sessions.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    No license detected

    No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.

    Community files

    • README: present

    Watch-outs

    • Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A Python application for visualizing Formula 1 race telemetry and replaying race events with interactive controls and a graphical interface.

    Excerpt from the IAmTomShaw/f1-race-replay README on GitHub. Β© its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Oct 9: +12

    +716 stars over 89 days across 8 snapshot days; best day +12 on Oct 9.

    Forks

    907+92

    Open issues

    176+29

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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