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traffic review

Free#95 of 98 in Data Visualization Software

An open-source Python library for analyzing flight trajectories and aviation datasets.

3.0/10Editor score
traffic3.0 Visit traffic

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

For researchers, analysts, and developers working with aviation datasets, traffic is an open-source Python toolbox for processing air-traffic data, analyzing flight trajectories, and creating visualizations. It is designed to fit into Python-based workflows, so it suits people who want to work with flight data through code rather than a standalone dashboard. Its scope is intentionally centered on aviation, making it a specialized option within data visualization software rather than a general-purpose charting environment.

The library combines data processing and trajectory analysis with visualization capabilities. That mix can be useful when a workflow needs to handle aviation datasets and inspect flight paths in the same Python context. The project is distributed as software to work with in that environment; it is not a hosted dashboard service. Teams looking for a browser-based product to serve dashboards should therefore consider a different kind of tool, while Python practitioners who want an aviation-focused library may find the format a better fit.

traffic is open source and supports Linux, macOS, and Windows, with documentation and community support channels. It can fit solo work as well as larger organizational contexts, but the practical fit still depends on having a Python-centered workflow and an aviation-data use case. The product details describe a free plan and an open-source pricing model, without plan tiers to compare. Choose traffic when flight trajectories and related aviation datasets are central to the analysis; choose a broader visualization product if your work spans unrelated data domains or depends on a hosted dashboard experience.

traffic pros and cons

  • Where it wins
    • Combines air-traffic data processing with flight-trajectory analysis
    • Includes data visualization for aviation datasets
    • Open-source library supports Linux, macOS, and Windows
  • Where it doesn't
    • Requires a Python-based workflow
    • Distributed as a library, not a hosted dashboard service
    • Focused on aviation data rather than general-purpose visualization

traffic fact sheet, pricing and score →

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