{"id":3487,"library":"fastf1","title":"FastF1","description":"FastF1 is a Python package (version 3.8.2) designed for accessing and analyzing Formula 1 results, schedules, timing data, and telemetry. It provides access to F1 timing data, telemetry, and session results, along with full support for the Ergast-compatible jolpica-f1 API for historical data. All data is provided in extended Pandas DataFrames, facilitating analysis and visualization with Matplotlib integration. It features intelligent caching to optimize performance and minimize API requests.","status":"active","version":"3.8.2","language":"python","source_language":"en","source_url":"https://github.com/theOehrly/Fast-F1","tags":["formula 1","f1","motorsport","data analysis","telemetry","pandas","matplotlib"],"install":[{"cmd":"pip install fastf1","lang":"bash","label":"Install FastF1"}],"dependencies":[{"reason":"Data is returned as extended Pandas DataFrames for easy manipulation and analysis.","package":"pandas","optional":false},{"reason":"Integrated for data visualization and plotting.","package":"matplotlib","optional":false},{"reason":"Underlying numerical operations.","package":"numpy","optional":false}],"imports":[{"symbol":"fastf1","correct":"import fastf1"}],"quickstart":{"code":"import fastf1\nimport os\n\n# Enable caching to a local directory (e.g., 'cache')\ncache_dir = os.path.join(os.getcwd(), 'fastf1_cache')\nos.makedirs(cache_dir, exist_ok=True)\nfastf1.Cache.enable_cache(cache_dir)\n\n# Load a race session (e.g., 2023 Austrian Grand Prix, Race session)\nsession = fastf1.get_session(2023, 'Austria', 'R')\nsession.load(telemetry=False, weather=False)\n\n# Print basic session information and first few laps\nprint(f\"Loaded session: {session.event.EventName} - {session.name}\")\nprint(f\"Number of laps: {len(session.laps)}\")\nprint(\"First 5 laps:\\n\", session.laps.head())","lang":"python","description":"This quickstart demonstrates how to import FastF1, enable local caching for performance, load a specific Formula 1 race session, and then access basic lap data. The `session.load()` call fetches the data from the API, and caching ensures subsequent calls are faster. It's recommended to load only necessary data (e.g., `telemetry=False` if not needed) to speed up the process."},"warnings":[{"fix":"Call `fastf1.Cache.enable_cache('/path/to/cache_dir')` immediately after importing fastf1 and before making any data requests.","message":"Always enable caching. FastF1 heavily relies on caching to store downloaded data locally. Without it, you will experience significantly slower data loading times due to repeated API requests, and you risk hitting API rate limits.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Upgrade your Python environment to version 3.10 or newer.","message":"FastF1 requires Python 3.10 or higher. Older Python versions (e.g., 3.8 or 3.9) are not supported and may lead to installation or runtime errors.","severity":"breaking","affected_versions":"<3.10"},{"fix":"Implement retry logic and checks for data completeness, especially for telemetry. Schedule data fetching tasks with a reasonable delay (e.g., 1-2 hours) after a session concludes.","message":"Data availability post-race can vary. While results and lap timing might appear sooner, full telemetry data often takes 30-120 minutes after the checkered flag to become available. Automated data ingestion pipelines should account for this delay or potential partial data.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Ensure you are using a recent version of FastF1 (3.1.0 or newer) which seamlessly integrates with jolpica-f1.","message":"FastF1 has transitioned its historical data access from the Ergast API to the jolpica-f1 API. While FastF1 handles this internally, users relying on older `f1dataR` integrations or directly interacting with Ergast might face issues as Ergast becomes defunct.","severity":"deprecated","affected_versions":"<3.1.0"},{"fix":"Monitor FastF1 releases and official documentation for updates regarding new data fields or changes in data availability following regulation shifts. Validate data schema when working with new seasons.","message":"Data fields may change or be unavailable with new F1 regulations. Specifically, for the 2026 regulations, new data fields related to power unit and ERS deployment might not be exposed, and existing ERS charge/deploy data may not be available through the official feeds.","severity":"gotcha","affected_versions":"Future seasons (2026+)"}],"env_vars":null,"search_vec":"'1':15,76 '3.8.2':8 'access':11,24 'along':33 'analysi':58,80 'analyz':13 'api':45,73 'cach':67 'compat':41 'data':19,28,48,50,79 'datafram':56 'design':9 'ergast':40 'ergast-compat':39 'extend':54 'f1':26,44,77 'facilit':57 'fastf1':1,2 'featur':65 'formula':14,75 'full':35 'histor':47 'integr':63 'intellig':66 'jolpica':43 'jolpica-f1':42 'matplotlib':62,83 'minim':72 'motorsport':78 'optim':69 'packag':6 'panda':55,82 'perform':70 'provid':23,52 'python':5 'request':74 'result':16,32 'schedul':17 'session':31 'support':36 'telemetri':21,29,81 'time':18,27 'version':7 'visual':60","created_at":"2026-04-11T17:31:43.361804+00:00","updated_at":"2026-04-16T14:58:18.198671+00:00","problems":[{"fix":"Install the package using pip: `pip install fastf1` or `python -m pip install fastf1`.","cause":"The fastf1 package has not been installed in your Python environment or the environment where your script is being run.","error":"ModuleNotFoundError: No module named 'fastf1'"},{"fix":"Call `session.load()` before accessing any data attributes, for example: `session = fastf1.get_session(2023, 'Monaco', 'Q')` then `session.load()`.","cause":"You are attempting to access data attributes (like laps, car_data, etc.) from a FastF1 `Session` object before calling the `session.load()` method to fetch the data from the API.","error":"DataNotLoadedError: The data you are trying to access has not been loaded yet. See `Session.load`"},{"fix":"Check your internet connection, ensure you're not hitting API rate limits, or try enabling/clearing the FastF1 cache using `fastf1.Cache.enable_cache('/path/to/cache_directory')` and potentially deleting existing cache files. Sometimes waiting and retrying also resolves the issue.","cause":"FastF1 failed to retrieve the season schedule from its backend APIs (F1 API and Ergast API), often due to network connectivity issues, API rate limits, or a temporary problem with the data sources.","error":"ValueError: Failed to load any schedule data."},{"fix":"First get a specific session from the `Weekend` event, then call `load()` on the session. For example: `session = fastf1.get_session(2021, 'Qatar', 'P1')` then `session.load(laps=True)` or `session.load()`.","cause":"This error occurs when you try to call `load_laps()` directly on a `Weekend` object. In FastF1, `load_laps()` (or simply `load()`) should be called on a `Session` object, which represents a specific practice, qualifying, or race session within a weekend.","error":"AttributeError: 'Weekend' object has no attribute 'load_laps'"},{"fix":"Ensure `session.load(telemetry=True)` is explicitly called if you need telemetry. Check if the session is recent and if the data is expected to be available. Verify your internet connection and try running the script again later. For some older sessions, detailed telemetry might simply not exist.","cause":"This warning indicates that FastF1 encountered an issue while trying to fetch telemetry data (e.g., car data, position data) for a session. This can happen if the data is not available on the F1 API backend yet (especially for very recent sessions), due to temporary network problems, or if there's no telemetry for the specific session type.","error":"logger WARNING Failed to load telemetry data!"}],"ecosystem":"pypi","meta_description":null,"install_score":null,"quickstart_score":null,"quickstart_tag":null,"pypi_latest":"3.8.3","cli_name":"","cli_version":null,"type":"library","homepage":"https://thetsworkshop.github.io/FastF1","github":"https://github.com/theOehrly/Fast-F1","docs":"https://docs.fastf1.dev","changelog":null,"pypi":"https://pypi.org/project/fastf1/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"categories":["data","http-networking"],"base_url":null,"auth_type":null,"provenance":{"verified_status":"passing","verified_at":"2026-06-28","last_verified":"2026-08-29","next_check":"2026-07-28","install_tag":null}}