OpenF1 is a free and open-source API that offers real-time and historical Formula 1 data.
Whether you're a developer, data analyst, or F1 enthusiast, OpenF1 provides comprehensive
access to lap timings, car telemetry, driver information, race control messages, and more.
Explore the data through JSON or CSV formats to build dashboards, analyze races, or integrate F1 data into your projects.
For full API documentation, visit openf1.org.
- Real-Time Data: Stay updated with live lap times, speeds, and driver positioning.
- Historical Data: Analyze past races, compare performance over seasons, and dive deep into race strategy.
- Car Telemetry: Access in-depth car data, including throttle, brake, DRS, and gear information.
- Driver Information: Get details on F1 drivers, including team affiliations and performance metrics.
Here’s a quick example of how to fetch lap data for a specific driver using the API:
curl "https://api.openf1.org/v1/laps?session_key=9161&driver_number=63&lap_number=8"For more detailed examples and documentation, visit the API Documentation.
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Install and start MongoDB Community Server v7
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Install pip>=23 and python>=3.10
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Install the OpenF1 python package
git clone git@github.com:br-g/openf1.git
pip install -e openf1- Configure the MongoDB connection
Set the MONGO_CONNECTION_STRING environment variable to connect to your local MongoDB instance:
export MONGO_CONNECTION_STRING="mongodb://localhost:27017"- Run the project
- Fetch and ingest data: services/ingestor_livetiming/
- Start and query the API: services/query_api/
OpenF1 queries rely on indexes for efficient lookups. Each collection should at least have single-field indexes on:
_keydate_startmeeting_keysession_key
When running the project via Docker Compose, the control panel automatically creates these indexes on startup. For manual setups, run the following command to add them if they are missing:
python -m openf1.util.create_mongo_indexesThe repository includes a docker-compose.yml file that sets up MongoDB and starts the OpenF1 control panel.
After installing Docker run:
docker compose up --buildThe control panel will be available at http://localhost:9876. Start the "Query API" service from the panel to access the API at http://localhost:9877. You can also set the desired season year for historical ingestion directly from the panel. The panel additionally exposes a live_recorder service which records the raw timing feed, ingests it into MongoDB and stores it locally using the same format as the historical files.
If you find this project useful, consider supporting its long-term sustainability:
OpenF1 is an unofficial project and is not affiliated with Formula 1 companies. All F1-related trademarks are owned by Formula One Licensing B.V.