Skip to main content

A Python toolkit for seamless access to live and historical Formula 1 data.

Project description

LiveF1 - An Open-Source Formula 1 Data Processing Toolkit

PyPI version License: MIT

LiveF1 is a powerful Python toolkit for accessing and analyzing Formula 1 data in real-time or from historical archives. It's designed for developers, analysts, and F1 fans building applications around Formula 1 insights.

Features

  • Real-Time Race Data: Provides live telemetry, timing, and position updates, ideal for powering dashboards and live analytics.
  • Historical Data Access: Includes comprehensive race data from past seasons, perfect for performance analysis and comparisons.
  • Data Processing Modules: Built-in ETL tools make raw data immediately usable, supporting analysis and seamless data storage.
  • Easy Integration: Simple API for both real-time and historical data

In a nutshell:

Using LiveF1, you can access real-time and historical racing data, making it easy to feed analytics and visualizations.

Installation

Install using pip:

pip install livef1

Quick Start

Historical Data

Access data from past races:

import livef1

# Get a specific race session
session = livef1.get_session(
    season=2024,
    meeting_identifier="Spa",
    session_identifier="Race"
)

# Load position data
position_data = session.get_data(
    dataNames="Position.z"
)

print(position_data.head())
  |    |   SessionKey | timestamp    | Utc                          |   DriverNo | Status   |   X |   Y |   Z |
  |---:|-------------:|:-------------|:-----------------------------|-----------:|:---------|----:|----:|----:|
  |  0 |         9574 | 00:01:45.570 | 2024-07-28T12:10:22.7877313Z |          1 | OnTrack  |   0 |   0 |   0 |
  |  1 |         9574 | 00:01:45.570 | 2024-07-28T12:10:22.7877313Z |          2 | OnTrack  |   0 |   0 |   0 |
  |  2 |         9574 | 00:01:45.570 | 2024-07-28T12:10:22.7877313Z |          3 | OnTrack  |   0 |   0 |   0 |
  |  3 |         9574 | 00:01:45.570 | 2024-07-28T12:10:22.7877313Z |          4 | OnTrack  |   0 |   0 |   0 |
  |  4 |         9574 | 00:01:45.570 | 2024-07-28T12:10:22.7877313Z |         10 | OnTrack  |   0 |   0 |   0 |

Data Processing

LiveF1 uses a medallion architecture to process F1 data into analysis-ready formats:

# Generate processed data tables
session.generate(silver=True)

# Access refined data
laps_data = session.get_laps()
telemetry_data = session.get_car_telemetry()

print(laps_data.head())
    |    |   lap_number | lap_time               | in_pit                 | pit_out   | sector1_time           | sector2_time           | sector3_time           | None   |   speed_I1 |   speed_I2 |   speed_FL |   speed_ST |   no_pits | lap_start_time         |   DriverNo | lap_start_date             |
    |---:|-------------:|:-----------------------|:-----------------------|:----------|:-----------------------|:-----------------------|:-----------------------|:-------|-----------:|-----------:|-----------:|-----------:|----------:|:-----------------------|-----------:|:---------------------------|
    |  0 |            1 | NaT                    | 0 days 00:17:07.661000 | NaT       | NaT                    | 0 days 00:00:48.663000 | 0 days 00:00:29.571000 |        |        314 |        204 |            |        303 |         0 | NaT                    |         16 | 2024-07-28 13:03:52.742000 |
    |  1 |            2 | 0 days 00:01:50.240000 | NaT                    | NaT       | 0 days 00:00:31.831000 | 0 days 00:00:48.675000 | 0 days 00:00:29.734000 |        |        303 |        203 |        219 |            |         0 | 0 days 00:57:07.067000 |         16 | 2024-07-28 13:05:45.045000 |
    |  2 |            3 | 0 days 00:01:50.519000 | NaT                    | NaT       | 0 days 00:00:31.833000 | 0 days 00:00:49.132000 | 0 days 00:00:29.554000 |        |        311 |        202 |        215 |        304 |         0 | 0 days 00:58:57.307000 |         16 | 2024-07-28 13:07:35.285000 |
    |  3 |            4 | 0 days 00:01:49.796000 | NaT                    | NaT       | 0 days 00:00:31.592000 | 0 days 00:00:48.778000 | 0 days 00:00:29.426000 |        |        312 |        201 |        217 |        309 |         0 | 0 days 01:00:47.870000 |         16 | 2024-07-28 13:09:25.848000 |
    |  4 |            5 | 0 days 00:01:49.494000 | NaT                    | NaT       | 0 days 00:00:31.394000 | 0 days 00:00:48.729000 | 0 days 00:00:29.371000 |        |        313 |        197 |        217 |        311 |         0 | 0 days 01:02:37.721000 |         16 | 2024-07-28 13:11:15.699000 |

Real-Time Data

Stream live race data:

from livef1.adapters import RealF1Client

# Initialize client with topics to subscribe
client = RealF1Client(
    topics=["CarData.z", "Position.z"],
    log_file_name="race_data.json"  # Optional: log data to file
)

# Define callback for incoming data
@client.callback("telemetry_handler")
async def handle_data(records):
    for record in records:
        print(record)  # Process incoming data

# Start receiving data
client.run()

Documentation

For detailed documentation, examples, and API reference, visit our documentation page.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

FEEL FREE TO CONTACT ME

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

livef1-0.1.3.tar.gz (38.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

livef1-0.1.3-py3-none-any.whl (45.5 kB view details)

Uploaded Python 3

File details

Details for the file livef1-0.1.3.tar.gz.

File metadata

  • Download URL: livef1-0.1.3.tar.gz
  • Upload date:
  • Size: 38.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for livef1-0.1.3.tar.gz
Algorithm Hash digest
SHA256 748a4255bc3c6d387f90306eba820d07de1d50e540c8568a754ec29af0c1d3da
MD5 4c3ec43deaf1fe0117f424dc5521d1e7
BLAKE2b-256 6359e9beb9f5e92ef56c0f3b6ffbce0d772ea3cb734381cf9eda77a3dabde3ae

See more details on using hashes here.

Provenance

The following attestation bundles were made for livef1-0.1.3.tar.gz:

Publisher: publish.yml on GoktugOcal/LiveF1

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file livef1-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: livef1-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 45.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for livef1-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 128d59b57e8b05fd1f91da5df14d1726977cf4502ef060bd569287d5e23bc191
MD5 8e4d64513de95982d85b5541bab53198
BLAKE2b-256 bb7626e21a54068e31cc9829cf7c4f3e76a3026317fda4d969be7feb2a1afecb

See more details on using hashes here.

Provenance

The following attestation bundles were made for livef1-0.1.3-py3-none-any.whl:

Publisher: publish.yml on GoktugOcal/LiveF1

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page