https://github.com/claudiodsf/rhos
Recursive high-order statistics for Python.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.8%) to scientific vocabulary
Keywords
processing
research
signal
Last synced: 5 months ago
·
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Repository
Recursive high-order statistics for Python.
Basic Info
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
processing
research
signal
Created over 3 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
Changelog
License
README.md
rhos
Recursive high-order statistics for Python.
(c) 2022 - Claudio Satriano satriano@ipgp.fr
Check the documentation on https://rhos.readthedocs.io.
Owner
- Name: Claudio Satriano
- Login: claudiodsf
- Kind: user
- Location: Paris, France
- Company: @IPGP
- Website: https://www.ipgp.fr/~satriano
- Twitter: claudiodsf
- Repositories: 13
- Profile: https://github.com/claudiodsf
Seismologist, Continuous Learner
GitHub Events
Total
Last Year
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Claudio Satriano | s****o@g****m | 20 |
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 10 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 2
- Total maintainers: 1
pypi.org: rhos
Recursive high-order statistics for Python
- Documentation: https://rhos.readthedocs.io
- License: GNU Lesser General Public License, Version 3 (LGPLv3)
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Latest release: 0.1
published over 3 years ago
Rankings
Dependent packages count: 6.6%
Forks count: 30.5%
Dependent repos count: 30.6%
Average: 31.2%
Stargazers count: 32.3%
Downloads: 56.1%
Maintainers (1)
Last synced:
6 months ago
conda-forge.org: rhos
rhos (recursive high order statistics) is a Python module to compute recursive mean, variance and high-order statistics on 1D signals.
- Homepage: https://github.com/claudiodsf/rhos
- License: LGPL-3.0-only
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Latest release: 0.1
published over 3 years ago
Rankings
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Average: 51.6%
Stargazers count: 60.1%
Forks count: 61.1%
Last synced:
6 months ago
Dependencies
docs/requirements.txt
pypi
- sphinx_autodoc_typehints *
- sphinxcontrib-bibtex *
requirements.txt
pypi
- numpy *
- scipy *
setup.py
pypi
- numpy *
- scipy *
.github/workflows/github-deploy.yml
actions
- actions/checkout v1 composite
- actions/download-artifact v2 composite
- actions/upload-artifact v2 composite
- pypa/gh-action-pypi-publish v1.4.2 composite
.github/workflows/release.yml
actions
- actions/checkout v2 composite
- lsegal/github-release-from-changelog-action latest composite
.github/workflows/test.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite