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)

https://github.com/open-aviation/tangram

Science Score: 96.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
    Organization open-aviation has institutional domain (journals.open.tudelft.nl)
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 4 months ago · JSON representation

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
Created almost 3 years ago · Last pushed 4 months ago
Metadata Files
Readme License

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.

preview

Documentation

docs

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.

build

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

JOSS Publication

tangram, an open platform for modular, real-time air traffic management research
Published
November 01, 2025
Volume 10, Issue 115, Page 8662
Authors
Xavier Olive ORCID
ONERA -- DTIS, Université de Toulouse, Toulouse, France
Junzi Sun ORCID
Delft University of Technology, Delft, The Netherlands
Xiaogang Huang
Shinetech Software, Beijing, China
Michel Khalaf
ONERA -- DTIS, Université de Toulouse, Toulouse, France
Editor
Anastassia Vybornova ORCID
Tags
trajectory ADS-B Mode S air traffic management data visualization

GitHub 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
enhancement (4) bug (4)
Pull Request Labels
dependencies (4) github_actions (4) enhancement (1)

Dependencies

Dockerfile docker
  • python 3.11-slim build
  • python-poetry-base latest build
poetry.lock pypi
  • 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
pyproject.toml pypi
  • 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