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traffic, a toolbox for processing and analysing air traffic data

Xavier Olive

The traffic library helps working with common sources of air traffic data.

Its main purpose is to offer basic cumbersome data analysis methods commonly applied to trajectories and ATC sectors. When a specific function is not provided, the access to the underlying structure is direct, through an attribute pointing to a pandas dataframe.

The library also offers facilities to parse and/or access traffic data from open sources of ADS-B traffic like the OpenSky Network or Eurocontrol DDR files. It is designed to be easily extendable to other sources of data.

Static visualisation (images) exports are accessible via Matplotlib/Cartopy. More dynamic visualisation frameworks are easily accessible in Jupyter environments with ipyleaflet and altair; or through exports to other formats, including CesiumJS or Google Earth.

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