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The original was posted on /r/opensource by /u/subhashg547 on 2025-04-01 21:27:53+00:00.

Hey r/opensource!

I’m excited to share Fastlytics, an open-source project I built to help Formula 1 fans and data enthusiasts dive deep into race telemetry. After seeing gaps in broadcast analysis tools, I decided to create a platform that turns raw F1 data into interactive visualizations—and I’m releasing it under the MIT License for the community to improve and extend!

What it does:

  • Interactive Visualizations: Speed traces, position charts, tire strategy breakdowns, and gear maps.
  • Data-Driven Insights: Compare drivers, analyze lap times, and visualize track evolution.
  • Open Access: Free for anyone to use, modify, or contribute to.

Why open-source?

I believe motorsport analytics should be accessible to everyone. By open-sourcing Fastlytics, I hope to:

  • Collaborate with developers to add features (e.g., predictive analytics, more race datasets).
  • Give back to the F1 fan community with transparent, customizable tools.

Tech Stack:

  • Frontend: React + TypeScript, D3.js for charts.
  • Backend: Python (FastF1 API), Supabase for auth.
  • Hosting: On my own Coolify Instance.

How to contribute:

  1. Code: PRs welcome! Check out the GitHub repo.
  2. Feedback: What features would you add?
  3. Docs: Help improve tutorials or onboarding guides.
  4. Spread the word: Share with F1/data communities!

Demo:

Imgur

Links:

Let’s build something awesome together! Whether you’re a developer, designer, or F1 fan, I’d love your input.