tangram, an open platform for modular, real-time air traffic management research
tangram, an open platform for modular, real-time air traffic management research - Published in JOSS (2025)
Science Score: 96.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
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Organization open-aviation has institutional domain (journals.open.tudelft.nl) -
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Published in Journal of Open Source Software
Repository
An open platform for modular, real-time aviation research
Basic Info
- Host: GitHub
- Owner: open-aviation
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Homepage: http://mode-s.org/tangram/
- Size: 17.2 MB
Statistics
- Stars: 19
- Watchers: 5
- Forks: 2
- Open Issues: 2
- Releases: 1
Metadata Files
readme.md
tangram
tangram is an open framework that aggregates and processes ADS-B and Mode S surveillance data for real-time analysis. It provides a flexible plugin architecture where users can easily implement custom analyzers for their specific needs.
The system consists of a JavaScript frontend and a Python backend built with FastAPI. The backend efficiently aggregates data from multiple receiver streams and exposes a WebSocket interface, enabling real-time data visualization and analysis in the browser-based frontend.

Documentation
Documentation is available at https://mode-s.org/tangram/
Tests
Unit tests are limited to what invidual components can provide, including jet1090.\ The system is designed to be modular, so each component can be tested independently.
Integration tests is currently limited to the construction of the container image, with the just create-tangram command.
Funding
This project is currently funded by the Dutch Research Council (NWO)'s Open Science Fund, OSF23.1.051: https://www.nwo.nl/en/projects/osf231051.
History
In 2020, @junzis and @xoolive published a paper Detecting and Measuring Turbulence from Mode S Surveillance Downlink Data on how real-time Mode S data can be used to detect turbulence.
Based on this method, @MichelKhalaf started developing this tool as part of his training with @xoolive in 2021, which was completed in Summer 2022. After that, the project was then lightly maintained by @xoolive and @junzis, while we have been applying for funding to continue this tool.
And in 2023, we received funding from NWO to continue the development of this tool. With this funding, @emctoo from Shinetech was hired to work alongside us on this open-source project.
Owner
- Name: Journal of Open Aviation Science
- Login: open-aviation
- Kind: organization
- Website: https://journals.open.tudelft.nl/joas
- Repositories: 1
- Profile: https://github.com/open-aviation
JOSS Publication
tangram, an open platform for modular, real-time air traffic management research
Authors
Shinetech Software, Beijing, China
ONERA -- DTIS, Université de Toulouse, Toulouse, France
Tags
trajectory ADS-B Mode S air traffic management data visualizationGitHub Events
Total
- Issues event: 17
- Watch event: 10
- Delete event: 20
- Member event: 1
- Issue comment event: 25
- Push event: 154
- Pull request review event: 3
- Pull request event: 31
- Fork event: 2
- Create event: 17
Last Year
- Issues event: 17
- Watch event: 10
- Delete event: 20
- Member event: 1
- Issue comment event: 25
- Push event: 153
- Pull request review event: 3
- Pull request event: 31
- Fork event: 2
- Create event: 17
Issues and Pull Requests
Last synced: 5 months ago
All Time
- Total issues: 17
- Total pull requests: 24
- Average time to close issues: 3 months
- Average time to close pull requests: 17 days
- Total issue authors: 4
- Total pull request authors: 4
- Average comments per issue: 0.47
- Average comments per pull request: 1.17
- Merged pull requests: 13
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 9
- Pull requests: 17
- Average time to close issues: about 2 months
- Average time to close pull requests: 7 days
- Issue authors: 3
- Pull request authors: 4
- Average comments per issue: 0.67
- Average comments per pull request: 1.0
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 4
Top Authors
Issue Authors
- xoolive (13)
- abc8747 (2)
- emctoo (1)
- kx1t (1)
Pull Request Authors
- emctoo (9)
- xoolive (8)
- dependabot[bot] (4)
- abc8747 (3)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- python 3.11-slim build
- python-poetry-base latest build
- annotated-types 0.6.0
- anyio 4.3.0
- appdirs 1.4.4
- broadcaster 0.2.0
- certifi 2024.2.2
- charset-normalizer 3.3.2
- click 8.1.7
- colorama 0.4.6
- eval-type-backport 0.2.0
- exceptiongroup 1.2.1
- fastapi 0.110.3
- h11 0.14.0
- httpcore 1.0.5
- httpx 0.27.0
- idna 3.7
- jinja2 3.1.4
- markupsafe 2.1.5
- mypy 1.10.0
- mypy-extensions 1.0.0
- numpy 1.26.4
- pandas 2.2.2
- pydantic 2.7.1
- pydantic-core 2.18.2
- python-dateutil 2.9.0.post0
- python-dotenv 1.0.1
- pytz 2024.1
- pyyaml 6.0.1
- requests 2.31.0
- ruff 0.4.3
- six 1.16.0
- sniffio 1.3.1
- starlette 0.37.2
- tomli 2.0.1
- typing-extensions 4.11.0
- tzdata 2024.1
- urllib3 2.2.1
- uvicorn 0.29.0
- websockets 12.0
- mypy >=0.950 develop
- ruff ^0.4.3 develop
- appdirs ^1.4.4
- broadcaster ^0.2.0
- eval-type-backport ^0.2.0
- fastapi ^0.110.1
- httpx ^0.27.0
- jinja2 ^3.1.4
- pandas ^2.2.2
- python >=3.9,<3.13
- python-dotenv ^1.0.1
- pyyaml ^6.0.1
- requests ^2.31.0
- uvicorn ^0.29.0
- websockets ^12.0
