theOehrly/Fast-F1
Some data may be outdated — see provenance labels.
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry observed · 2026-10-01
Health v2 · maintenance only
87/100
- Activity 92
- Release rhythm 74
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 22.5
- age_days: 2376
- days_rel: 174
- days_push: 53
- n_releases_24m: 15
Adoption not part of the score
5395 stars · 488 forks observed · 2026-10-01
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
FastF1 is a Python package for accessing and analyzing Formula 1 data, including lap timing, car telemetry, tyre and weather data, event schedules, and session results. It wraps the Jolpica-F1 (Ergast-compatible) API and live timing data into extended Pandas DataFrames with Matplotlib plotting integration and request caching.
Use cases
- analyze F1 lap times and sector times in pandas
- get Formula 1 car telemetry data in Python
- plot F1 race data with matplotlib
- fetch historical F1 race results and schedules
- analyze tyre and pit stop strategy data
- build an F1 strategy dashboard
- download F1 timing data from 2018 onwards
When to choose
- you want F1 timing, telemetry, or results data as Pandas DataFrames
- you are doing motorsport data analysis or visualization in Python
- you need both current and historical F1 data via the Jolpica-F1/Ergast API
- you want caching to avoid re-downloading API data
When to avoid
- you need real-time sub-second live telemetry streaming during a race
- you need timing/telemetry data before the 2018 season
- you need a non-Python environment (though an R wrapper, f1dataR, exists)
- you need officially licensed Formula 1 data
Facets
library · maturity active
data-science data-visualization caching http-client analytics data-science sports analytics python cross-platform formula1 f1 motorsport telemetry pandas matplotlib ergast jolpica-f1 lap-timing racing-data python
5 sources
- readme: https://github.com/theOehrly/Fast-F1 · fetched 2026-10-01 · a32fecc4445f
- homepage: https://docs.fastf1.dev · fetched 2026-08-29 · de6a460afdba
- site_page: https://docs.fastf1.dev/changelog/index.html · fetched 2026-08-29 · 45a3806edf23
- site_page: https://docs.fastf1.dev/api_reference/index.html · fetched 2026-08-29 · e653746b634e
- site_page: https://docs.fastf1.dev/data_reference/index.html · fetched 2026-08-29 · 806f01664cc2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| theOehrly/Fast-F1 | main | 87 |
For agents
markdown · JSON · MCP: product_card(name="theOehrly/Fast-F1")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem