A Python library for air traffic data analysis, providing tools to parse, analyze, and visualize flight trajectories and air traffic data from various sources.
traffic
- Python
- 2D Graphics, 3D Graphics, Aerospace, Data Analytics, Simulation
- Aerospace, Aviation, Environmental Impact, Machine Learning
Features:
- Flight trajectory data parsing (ADS-B, Mode S, OpenSky Network, Eurocontrol DDR), trajectory analysis (smoothing, resampling, segmentation), air traffic visualization (2D maps, 3D scenes, animations), aircraft performance modeling (basic), airspace analysis, integration with pandas and GeoPandas, airport data access
Pricing:
- Free
- Specialized for air traffic data analysis, simplifies working with complex flight data, good visualization capabilities, integrates with common Python data science tools, open-source and actively developed.
- Niche application (air traffic management/research), requires understanding of aviation data formats and concepts, some data sources might require credentials or have access limitations, performance on very large datasets needs careful management.
Best for:
- Air traffic management researchers, aviation analysts, and aerospace engineers working with flight trajectory data for analysis, visualization, and operational insights.