Ecoscope

An open-source analysis module for tracking, environmental and conservation data analyses.
https://github.com/wildlife-dynamics/ecoscope

Category: Biosphere
Sub Category: Conservation and Restoration

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archiving measur transforms conversion observation optimize generic animals projection compose

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Conservation data analytics

README.rst

          .. image:: https://ecoscope.io/en/latest/_static/logo.svg
   :width: 400
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   :align: center
   :target: https://ecoscope.io

|PyPI| |Tests| |Codecov| |Docs| |Notebooks|

.. |PyPI| image:: https://img.shields.io/pypi/v/ecoscope.svg
   :target: https://pypi.python.org/pypi/ecoscope

.. |Tests| image:: https://github.com/wildlife-dynamics/ecoscope/actions/workflows/main.yml/badge.svg
   :target: https://github.com/wildlife-dynamics/ecoscope/actions?query=workflow%3ATests

.. |Codecov| image:: https://codecov.io/gh/wildlife-dynamics/ecoscope/branch/master/graphs/badge.svg
   :target: https://codecov.io/gh/wildlife-dynamics/ecoscope
   
.. |Docs| image:: https://readthedocs.org/projects/ecoscope/badge/?version=latest
   :target: https://ecoscope.io/en/latest/index.html

.. |Notebooks| image:: https://img.shields.io/badge/Jupyter-Lab-F37626.svg?style=flat&logo=Jupyter
   :target: https://ecoscope.io/en/latest/notebooks.html

========
Ecoscope
========

Ecoscope is an open-source analysis module for tracking, environmental and conservation data analyses. It provides methods and approaches for: Data I/O (EarthRanger, Google Earth Engine, Landscape Dynamics, MoveBank, Geopandas), Movement Data (Relocations, Trajectories, Home-Ranges, EcoGraph, Recurse, Geofencing, Immobility, Moving Windows, Resampling, Filtering), Visualization (EcoMap, EcoPlot), Environmental analyses (Seasons determination, Remote sensing anomalies), Covariate labeling (Day/Night, Seasonal, GEE Image Collections/Images).

Development & Testing
=====================
Development dependencies are included in `environment.yml`.

Please configure code-quality git hooks with:

.. code:: console

    >>> pre-commit install

Copyright & License
-------------------

Ecoscope is licensed under BSD 3-Clause license. Copyright (c) 2022, wildlife-dynamics.

Donate
------
Ecoscope is currently developed and maintained by the Mara Elephant Project (www.maraelephantproject.org) a not-for-profit elephant conservation organization located in the Masai Mara, Kenya. If you find Ecoscope useful in your work, please consider donating to help support ongoing development and maintenance of the project or the conservation work performed by MEP: https://maraelephantproject.org/donate/

Acknowledgments
---------------
We thank the many individuals and organizations who have contributed to the development of Ecoscope: Jake Wall, Peter Kulits, Zakaria Hussein, Catherine Villeneuve, Jes Lefcourt, Chris Jones, George Wittemyer, Mara Elephant Project, Allen Institute for Artificial Intelligence, Google Earth Outreach, Save the Elephants, Elephants Alive, Berkeley Data Science Society.

        

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GitHub Events

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Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 395
Total Committers: 15
Avg Commits per committer: 26.333
Development Distribution Score (DDS): 0.671

Commits in past year: 180
Committers in past year: 7
Avg Commits per committer in past year: 25.714
Development Distribution Score (DDS) in past year: 0.328

Name Email Commits
atmorling a****g@g****m 130
Eric Gitonga g****a@g****m 126
Catherine Villeneuve c****9@u****a 47
Yun-Wu y****8@g****m 37
dependabot[bot] 4****] 18
Jake Wall w****g@g****m 11
kulits p****s@g****m 9
Ray R 7****n 4
Charles Stern 6****n 3
blac-siren h****c@g****m 2
daniel-insaite 9****e 2
mdevz-22 g****i@n****m 2
insaite i****e@p****n 2
Marcos Davidovich d****s@g****m 1
gcastellini 9****i 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 271
Total pull requests: 256
Average time to close issues: 2 months
Average time to close pull requests: 14 days
Total issue authors: 15
Total pull request authors: 12
Average comments per issue: 0.72
Average comments per pull request: 0.48
Merged pull request: 210
Bot issues: 0
Bot pull requests: 29

Past year issues: 207
Past year pull requests: 184
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 9 days
Past year issue authors: 11
Past year pull request authors: 7
Past year average comments per issue: 0.64
Past year average comments per pull request: 0.56
Past year merged pull request: 148
Past year bot issues: 0
Past year bot pull requests: 29

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/wildlife-dynamics/ecoscope

Top Issue Authors

  • atmorling (127)
  • walljcg (67)
  • Yun-Wu (26)
  • cisaacstern (18)
  • ericgitonga (11)
  • davidovichmarcos (4)
  • enlivn (3)
  • Ankabedettidk (3)
  • doug-nimblegravity (3)
  • zakhusayn (2)
  • nwmwangi (2)
  • Temutev (2)
  • tjvandam (1)
  • doneill (1)
  • chrisgnicholas (1)

Top Pull Request Authors

  • atmorling (115)
  • ericgitonga (37)
  • Yun-Wu (35)
  • dependabot[bot] (29)
  • cisaacstern (14)
  • cath34 (8)
  • enlivn (6)
  • daniel-insaite (4)
  • walljcg (3)
  • zakhusayn (2)
  • gcastellini (2)
  • davidovichmarcos (1)

Top Issue Labels

  • bug (24)
  • ecoscope-core (16)
  • EcoMap (14)
  • notebooks (3)
  • metaissue (2)
  • question (1)
  • eetools (1)

Top Pull Request Labels

  • dependencies (29)
  • changelog-ignore (23)
  • changelog-enhancement (15)
  • changelog-breaking (7)
  • stale (5)
  • bug (2)

Package metadata

pypi.org: ecoscope

Standard Analytical Reporting Framework for Conservation

  • Homepage: http://github.com/wildlife-dynamics/ecoscope
  • Documentation: https://ecoscope.readthedocs.io/
  • Licenses: MIT
  • Latest release: 1.7.3 (published 10 months ago)
  • Last Synced: 2025-04-29T16:04:40.954Z (1 day ago)
  • Versions: 44
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 1,931 Last month
  • Rankings:
    • Dependent packages count: 10.105%
    • Downloads: 12.022%
    • Forks count: 14.25%
    • Average: 14.908%
    • Stargazers count: 16.569%
    • Dependent repos count: 21.593%
  • Maintainers (3)

Dependencies

.github/workflows/main.yml actions
  • actions/checkout v2 composite
  • codecov/codecov-action v3 composite
  • mamba-org/provision-with-micromamba main composite
pyproject.toml pypi
setup.py pypi
environment.yml pypi
  • coverage *
  • earthranger-client ==1.0.49
  • myst-parser ==2.0.0
  • nbsphinx ==0.9.3
  • nbsphinx-multilink ==1.4.1
  • sphinx-autoapi ==3.0.0

Score: 14.606646146852423