An open API service for producing an overview of a list of open source projects.

JOSS: https://gitlab.com/emd-dev/emd

Score: 14.437870400802508

Last synced: about 7 hours ago
JSON representation

Repository metadata:

Empirical Mode Decomposition in Python <a href="https://gitlab.com/ajquinn/emd/commits/master"><img alt="pipeline status" src="https://gitlab.com/ajquinn/emd/badges/master/pipeline.svg" /></a>


Committers metadata

Last synced: 3 days ago

Total Commits: 597
Total Committers: 10
Avg Commits per committer: 59.7
Development Distribution Score (DDS): 0.042

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Andrew Quinn a****n@p****k 572
marcoFabus m****s@n****k 12
Mark Hymers m****k@h****k 4
David P. Sanders d****s@g****m 2
Jan C. Brammer j****r@g****m 2
Evan Edmond e****d@g****m 1
Lourenço A. Rodrigues l****s@g****m 1
Mats m****s@p****k 1
Roland Widmer r****r@h****m 1
mhlg m****i@m****m 1

Issue and Pull Request metadata

Last synced: 1 day ago


Package metadata

pypi.org: emd

Empirical Mode Decomposition

  • Homepage:
  • Documentation: https://emd.readthedocs.io/
  • Licenses: GNU General Public License v2 or later (GPLv2+)
  • Latest release: 0.8.1 (published over 1 year ago)
  • Last Synced: 2026-06-19T21:01:37.136Z (3 days ago)
  • Versions: 19
  • Dependent Packages: 6
  • Dependent Repositories: 15
  • Downloads: 5,014 Last month
  • Rankings:
    • Dependent packages count: 2.335%
    • Dependent repos count: 3.749%
    • Average: 4.105%
    • Downloads: 6.23%
  • Maintainers (1)
conda-forge.org: emd

Empirical Mode Decomposition tools in Python

  • Homepage: https://pypi.org/project/emd/
  • Licenses: GPL-3.0-or-later
  • Latest release: 0.5.5 (published about 4 years ago)
  • Last Synced: 2026-04-03T09:37:51.014Z (3 months ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 34.025%
    • Forks count: 35.428%
    • Average: 41.868%
    • Stargazers count: 46.843%
    • Dependent packages count: 51.175%

Dependencies

requirements.txt pypi
  • coverage *
  • flake8 *
  • ipywidgets *
  • joblib *
  • matplotlib >=1.1.0
  • myst-parser *
  • numpy *
  • numpydoc *
  • pandas *
  • pydata-sphinx-theme *
  • pytest *
  • pytest-cov *
  • pyyaml >=5.1
  • scipy >1.0.0
  • setuptools >=41.0.1
  • sphinx_gallery *