theOehrly/Fast-F1

Health v2 · maintenance only

Adoption not part of the score

5331 stars · 487 forks observed · 2026-08-28

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

Member repositories

For agents

markdown · JSON · MCP: product_card(name="theOehrly/Fast-F1")