Download and parse data from flightradar24.com (gRPC and JSON).

Clone the repository and run in the directory:

pip install .

For a development version, you may want to use Poetry:

poetry install
poetry shell

Once installed, a few endpoints are available (use --help for more information):

• Dump the current state vectors in a tidy parquet file:

  fr24 feed live
  fr24 feed playback --timestamp 1702839380
  fr24 feed playback --time 2023-12-17T18:56:00

• TUI:

  fr24 tui

• You may want to be authenticated to access more history: set the environment variables fr24_username and fr24_password, then check that you are properly authenticated with the following:

  fr24 auth show

• You may also create a configuration file in the config directory: you may find its location with:

  fr24 dirs

  On Linux, copy the content of fr24.example.conf to $HOME/.config/fr24/fr24.conf.

Most code is developed in asynchronous mode: if you are not familiar with that programming style, wrap your code in an async function called async_main, and

• run asyncio.run(main()) in a Python script;
• run await main() in a Jupyter notebook.

You can find usage examples in the scripts/ folder.

To avoid repeated requests, a simple file-based cache saves parquet files under the cache directory ($HOME/.cache/fr24 on Linux).

{
  "copyright": "Copyright (c) 2014-2023 Flightradar24 AB. All rights reserved.",
  "legalNotice": "The contents of this file and all derived data are the property of Flightradar24 AB for use exclusively by its products and applications. Using, modifying or redistributing the data without the prior written permission of Flightradar24 AB is not allowed and may result in prosecutions."
}

https://github.com/grpc/grpc/blob/master/doc/PROTOCOL-HTTP2.md

Generate stubs for pyarrow

stubgen -p pyarrow -o $PATH_TO_SITE_PACKAGES