traffic, a toolbox for processing and analysing air traffic data

traffic, a toolbox for processing and analysing air traffic data - Published in JOSS (2019)

https://github.com/xoolive/traffic

Science Score: 95.0%

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

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CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 8 DOI reference(s) in README and JOSS metadata
✓
Academic publication links
Links to: scholar.google, joss.theoj.org
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Committers with academic emails
3 of 38 committers (7.9%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

adsb air-traffic-data data-analytics data-science data-visualisation declarative-pipeline mode-s trajectory

Keywords from Contributors

pde standardization turing-machine pypi genetic-algorithm energy-system plasma benchmarking hydrology distribution

Scientific Fields

Earth and Environmental Sciences Physical Sciences - 87% confidence

Artificial Intelligence and Machine Learning Computer Science - 83% confidence

Political Science Social Sciences - 67% confidence

Last synced: 4 months ago · JSON representation

Repository

A toolbox for processing and analysing air traffic data

Basic Info

Host: GitHub
Owner: xoolive
License: mit
Language: Python
Default Branch: master
Homepage: https://traffic-viz.github.io/
Size: 149 MB

Statistics

Stars: 430
Watchers: 10
Forks: 87
Open Issues: 10
Releases: 26

Topics

adsb air-traffic-data data-analytics data-science data-visualisation declarative-pipeline mode-s trajectory

Created almost 8 years ago · Last pushed 4 months ago

Metadata Files

Readme License

readme.md

License
PyPI version Conda version

The traffic library helps to work with common sources of air traffic data.

Its main purpose is to provide data analysis methods commonly applied to trajectories and airspaces. 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 visualization (images) exports are accessible via Matplotlib/Cartopy. More dynamic visualization frameworks are easily accessible in Jupyter environments with ipyleaflet and altair; or through exports to other formats, including CesiumJS or Google Earth.

Installation

Full installation instructions are to be found in the documentation.

If you are not familiar/comfortable with your Python environment, please install the latest traffic release in a new, fresh conda environment.

sh conda create -n traffic -c conda-forge python=3.12 traffic

Adjust the Python version you need (>=3.10) and append packages you need for working efficiently, such as Jupyter Lab, xarray, PyTorch or more.
Then activate the environment every time you need to use the traffic library:

sh conda activate traffic

Warning! Dependency resolution may be tricky, esp. if you use an old conda environment where you overwrote conda libraries with pip installs. Please only report installation issues in new, fresh conda environments.

If conda fails to resolve an environment in a reasonable time, consider using a Docker image with a working installation.

For troubleshooting, refer to the appropriate documentation section.

Credits

Like other researchers before, if you find this project useful for your research and use it in an academic work, you may cite it as:

bibtex @article{olive2019traffic, author={Xavier {Olive}}, journal={Journal of Open Source Software}, title={traffic, a toolbox for processing and analysing air traffic data}, year={2019}, volume={4}, pages={1518}, doi={10.21105/joss.01518}, issn={2475-9066}, }

Additionally, you may consider adding a star to the repository. This token of appreciation is often interpreted as positive feedback and improves the visibility of the library.

Documentation

Documentation available at https://traffic-viz.github.io/
Join the Gitter chat for assistance: https://gitter.im/xoolive/traffic

Tests and code quality

Unit and non-regression tests are written in the tests/ directory. You may run pytest from the root directory.

Tests are checked on Github Actions platform upon each commit. Latest status and coverage are displayed with standard badges hereabove.

In addition to unit tests, code is checked against:

linting and formatting with ruff;
static typing with mypy

pre-commit hooks are available in the repository.

Feedback and contribution

Any input, feedback, bug report or contribution is welcome.

Should you encounter any issue, you may want to file it in the issue section of this repository.
If you intend to contribute to traffic or file a pull request, the best way to ensure continuous integration does not break is to reproduce an environment with the same exact versions of all dependency libraries. Please follow the appropriate section in the documentation.

Let us know what you want to do just in case we're already working on an implementation of something similar. This way we can avoid any needless duplication of effort. Also, please don't forget to add tests for any new functions.

Owner

Name: Xavier Olive
Login: xoolive
Kind: user
Location: Toulouse, France
Company: Research Scientist

Website: http://www.xoolive.org/
Twitter: x00live
Repositories: 22
Profile: https://github.com/xoolive

I like maps 🌍, code 🐍 and data visualisation 😎. I keep an eye on anything that can fly 🛩️.

JOSS Publication

traffic, a toolbox for processing and analysing air traffic data

Published

July 05, 2019

DOI

10.21105/joss.01518

Volume 4, Issue 39, Page 1518

Authors

Xavier Olive

ONERA, Université de Toulouse, France

Editor

Daniel S. Katz

Papers & Mentions

Total mentions: 1

Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

DOI: 10.3390/s150614116
OpenAlex ID: https://openalex.org/W1591833645
Published: June 2015

Last synced: 3 months ago

GitHub Events

Total

Create event: 15
Release event: 4
Issues event: 17
Watch event: 55
Delete event: 14
Issue comment event: 57
Push event: 83
Pull request review comment event: 2
Pull request review event: 3
Pull request event: 46
Fork event: 9

Last Year

Create event: 15
Release event: 4
Issues event: 17
Watch event: 55
Delete event: 14
Issue comment event: 57
Push event: 83
Pull request review comment event: 2
Pull request review event: 3
Pull request event: 46
Fork event: 9

Committers

Last synced: 5 months ago

All Time

Total Commits: 1,529
Total Committers: 38
Avg Commits per committer: 40.237
Development Distribution Score (DDS): 0.115

Past Year

Commits: 76
Committers: 11
Avg Commits per committer: 6.909
Development Distribution Score (DDS): 0.25

Top Committers

Name	Email	Commits
Xavier Olive	g**t@x**g	1,353
dependabot[bot]	4****]	46
Enrico Spinielli	e**i@g**m	19
Benoit Figuet	3****e	15
Luis Basora	l**a@o**r	12
Junzi Sun	j**n@g**m	8
Michel Khalaf	K**8@g**m	7
Simon Proud	s**d@p**k	7
Stanley F	s**r@g**m	6
rmonstein	4****n	5
antoine	a**t@f**r	5
Kim Gaume	3****r	4
Adrien Lafage	a**e@o**m	3
RaphaelDELAIR	7****R	3
ViryBe	b**y@l**t	3
niclaswue	1****e	3
Aliaksei Pilko	a****5	2
ElSabio97	4****7	2
Jaime Bowen	j**v@g**m	2
Jeremy Grignard	j**d@p**u	2
Manuel Derra	3****a	2
Maxime Warnier	m**x@g**m	2
renovate[bot]	2****]	2
Timothé Krauth	7****W	2
q-wertz	c**r@w**e	1
Axel Tanner	a**t@a**g	1
Valentin Courchelle	v**e@h**r	1
mora	m**a@z**h	1
krumjan	1****n	1
Ysbrand van Eijck	y**r@h**m	1
and 8 more...

Committer Domains (Top 20 + Academic)

ieee.org: 1 zhaw.ch: 1 acm.org: 1 polytechnique.edu: 1 laposte.net: 1 femto-st.fr: 1 physics.ox.ac.uk: 1 onera.fr: 1 xoolive.org: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 36
Total pull requests: 221
Average time to close issues: 7 months
Average time to close pull requests: 12 days
Total issue authors: 20
Total pull request authors: 17
Average comments per issue: 2.58
Average comments per pull request: 0.95
Merged pull requests: 79
Bot issues: 0
Bot pull requests: 160

Past Year

Issues: 11
Pull requests: 38
Average time to close issues: 4 days
Average time to close pull requests: 13 days
Issue authors: 7
Pull request authors: 12
Average comments per issue: 3.55
Average comments per pull request: 0.95
Merged pull requests: 30
Bot issues: 0
Bot pull requests: 9

View more stats

Top Authors

Issue Authors

xoolive (6)
iavrekh (4)
simonrp84 (4)
niclaswue (4)
espinielli (2)
junzis (2)
q-wertz (1)
jsmailes (1)
mdlugosz-agh (1)
HWJ-NUMPY (1)
rmonstein (1)
cpt13-g (1)
nmatton (1)
raph-p (1)
JoScheiderer (1)

Pull Request Authors

dependabot[bot] (201)
figuetbe (26)
xoolive (18)
niclaswue (6)
Vibujor (5)
junzis (5)
renovate[bot] (4)
aeroevan (4)
espinielli (3)
Julien6431 (2)
ipato9 (2)
goncaloroque30 (2)
kruuZHAW (2)
richardalligier (2)
sfo (2)

Top Labels

Issue Labels

bug (22) enhancement (10) documentation (4) good first issue (3)

Pull Request Labels

dependencies (201) python (178) github_actions (23)

Packages

Total packages: 2
Total downloads:
- pypi 2,070 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 11
(may contain duplicates)
Total versions: 36
Total maintainers: 1

pypi.org: traffic

A toolbox for manipulating and analysing air traffic data

Documentation: https://traffic-viz.github.io/
License: MIT License
Latest release: 2.11.1
published about 1 year ago

Versions: 29
Dependent Packages: 0
Dependent Repositories: 10
Downloads: 2,070 Last month

Rankings

Stargazers count: 3.5%

Dependent repos count: 4.6%

Forks count: 5.0%

Average: 7.2%

Dependent packages count: 10.1%

Downloads: 12.9%

Maintainers (1)

xoolive

Last synced: 4 months ago

conda-forge.org: traffic

Homepage: https://github.com/xoolive/traffic
License: MIT
Latest release: 2.8.0
published over 3 years ago

Versions: 7
Dependent Packages: 0
Dependent Repositories: 1

Rankings

Forks count: 22.2%

Stargazers count: 23.1%

Dependent repos count: 24.4%

Average: 30.3%

Dependent packages count: 51.6%

Last synced: 4 months ago

Dependencies

.github/workflows/build-docs.yml actions

actions/cache v3 composite
actions/checkout v3 composite
actions/setup-python v4 composite
peaceiris/actions-gh-pages v3 composite
snok/install-poetry v1.3.3 composite

.github/workflows/pypi-publish.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite
pypa/gh-action-pypi-publish release/v1 composite
snok/install-poetry v1.3.3 composite

.github/workflows/run-docker.yml actions

actions/checkout v3 composite
docker/login-action v2 composite

.github/workflows/run-tests.yml actions

actions/cache v3 composite
actions/checkout v3 composite
actions/setup-python v4 composite
codecov/codecov-action v3 composite
snok/install-poetry v1.3.3 composite

poetry.lock pypi

214 dependencies

pyproject.toml pypi

Sphinx >=5.1 develop
altair-saver >=0.5.0 develop
black >=21.6 develop
codecov >=2.1.11 develop
flake8 >=5.0 develop
isort >=5.9.1 develop
jupyter_sphinx >=0.3.2 develop
mypy >=0.981 develop
pre-commit >=2.13.0 develop
pytest >=7.1 develop
pytest-cov >=4.0 develop
pytest-timeout >=2.1 develop
requests >=2.27 develop
sphinx-autodoc-typehints >=1.17,!=1.21.4 develop
sphinx-rtd-theme >=0.5.2 develop
types-flask >=1.1.6 develop
types-paramiko >=0.1.7 develop
types-pkg-resources >=0.1.3 develop
types-pyOpenSSL >=22.0 develop
types-requests >=2.25.0 develop
types-waitress >=2.0.8 develop
Flask >=2.1.1
Flask-Cors >=3.0.10
astor ^0.8.1
cartes >=0.7.4
click >=8.1
fastparquet >=0.7
ipyleaflet >=0.17
ipywidgets >=7.6
libarchive >=0.4.7,<1.0.0
metar >=1.8
onnxruntime >=1.12
openap >=1.1
paramiko >=2.7
pyModeS ^2.14
pyOpenSSL >=22.0
pyrtlsdr ^0.2.93
pyspark >=3.3.0
python >=3.8,<4.0
requests >=2.27
requests-pkcs12 >=1.10
scikit-learn >=1.0
textual >=0.1.17
typing-extensions >=4.2
waitress >=2.1.1
xarray >=0.18.2

traffic, a toolbox for processing and analysing air traffic data

Science Score: 95.0%

Keywords

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

readme.md

Installation

Credits

Documentation

Tests and code quality

Feedback and contribution

Owner

JOSS Publication

traffic, a toolbox for processing and analysing air traffic data

Authors

Editor

Tags

Papers & Mentions

Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: traffic

Rankings

Maintainers (1)

conda-forge.org: traffic

Rankings

Dependencies