https://github.com/digital-c-fiber/openmnglab
A Python framework for microneurography
Science Score: 23.0%
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
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○.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.6%) to scientific vocabulary
Keywords
Repository
A Python framework for microneurography
Basic Info
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 3
- Releases: 6
Topics
Metadata Files
README.md
OpenMNGLab
🚧 under heavy construction, expect every new version to break the API 🚧
A Python framework for microneurography analysis. The core idea is to build up an execution plan of pre-defined (implemented) "function modules". The plan can then be executed and results retrieved.
Installation
Currently, the package requires Python v3.11 at minimum. The package is distributed via PyPI as "openmnglab".
Quickstart
For a quickstart see the quickstart.ipynb
Citing
The repository in general can be cited using the Zenodo-DOI 10.5281/zenodo.8331924. On the Zenodo project page you will find additional DOIs to cite specific versions of the library.
Owner
- Name: Digital-C-Fiber
- Login: Digital-C-Fiber
- Kind: organization
- Repositories: 2
- Profile: https://github.com/Digital-C-Fiber
GitHub Events
Total
Last Year
Packages
- Total packages: 1
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Total downloads:
- pypi 15 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 6
- Total maintainers: 2
pypi.org: openmnglab
A Python framework for microneurography analysis
- Homepage: https://github.com/Digital-C-Fiber/openMNGlab
- Documentation: https://openmnglab.readthedocs.io/en/latest/
- License: MIT
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Latest release: 0.3.0
published over 2 years ago