https://github.com/alleninstitute/ipfx
computes intrinsic cell features from intracellular electrophysiology data
Science Score: 36.0%
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
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
7 of 19 committers (36.8%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Repository
computes intrinsic cell features from intracellular electrophysiology data
Basic Info
- Host: GitHub
- Owner: AllenInstitute
- License: other
- Language: Python
- Default Branch: master
- Homepage: https://ipfx.readthedocs.io/en/latest/
- Size: 14.5 MB
Statistics
- Stars: 27
- Watchers: 16
- Forks: 38
- Open Issues: 70
- Releases: 7
Metadata Files
README.md
Welcome to Intrinsic Physiology Feature Extractor (IPFX)
IPFX is a Python package for computing intrinsic cell features from electrophysiology data. With this package you can:
- Perform cell data quality control (e.g. resting potential stability)
- Detect action potentials and their features (e.g. threshold time and voltage)
- Calculate features of spike trains (e.g., adaptation index)
- Calculate stimulus-specific cell features
This software is designed for use in the Allen Institute for Brain Science electrophysiology data processing pipeline.
For usage and installation instructions, see the documentation.
Quick Start
To start analyzing data now, check out the quick_start . For a more in depth guide to IPFX, see tutorial
Contributing
We welcome contributions! Please see our contribution guide for more information. Thank you!
Deprecation Warning
The 2.0.0 release of IPFX drops support for Python 3.6 which reached end of life and stopped receiving security updated on December 23, 2021. IPFX is now tested on Python 3.9 and higher.
Owner
- Name: Allen Institute
- Login: AllenInstitute
- Kind: organization
- Location: Seattle, WA
- Website: https://alleninstitute.org
- Repositories: 184
- Profile: https://github.com/AllenInstitute
Please visit http://alleninstitute.github.io/ for more information.
GitHub Events
Total
- Create event: 6
- Issues event: 11
- Release event: 1
- Watch event: 1
- Delete event: 29
- Issue comment event: 7
- Push event: 24
- Pull request review event: 8
- Pull request review comment event: 5
- Pull request event: 14
- Fork event: 1
Last Year
- Create event: 6
- Issues event: 11
- Release event: 1
- Watch event: 1
- Delete event: 29
- Issue comment event: 7
- Push event: 24
- Pull request review event: 8
- Pull request review comment event: 5
- Pull request event: 14
- Fork event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Sergey Gratiy | s****g@a****g | 373 |
| Thomas Braun | t****n@b****e | 202 |
| nile graddis | N****s@g****m | 119 |
| Nathan Gouwens | n****g@a****g | 114 |
| David Feng | d****f@a****g | 88 |
| gnayuy | g****y@g****m | 57 |
| Matt Aitken | m****2@g****m | 28 |
| Sherif Soliman | s****n@a****g | 16 |
| Nicholas Mei | n****i@a****g | 4 |
| dyf | d****f | 4 |
| Tom Chartrand | t****d@a****g | 3 |
| Katherine Baker | k****b@l****n | 3 |
| isaak.willett@alleninstitute.org | i****t@a****g | 2 |
| kasbaker | 4****r | 2 |
| nicholasc | n****e@g****m | 2 |
| ru57y34nn | m****y@g****m | 2 |
| !git for-each-ref --format='%(refname:short)' `git symbolic-ref HEAD` | b****r@g****m | 1 |
| Matthias Kastner | m****r@b****e | 1 |
| isaak-willett | 5****t | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 67
- Total pull requests: 62
- Average time to close issues: 6 months
- Average time to close pull requests: 3 months
- Total issue authors: 22
- Total pull request authors: 13
- Average comments per issue: 2.3
- Average comments per pull request: 0.79
- Merged pull requests: 43
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 10
- Pull requests: 10
- Average time to close issues: 4 months
- Average time to close pull requests: 9 days
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 0.1
- Average comments per pull request: 0.1
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- wbwakeman (13)
- t-b (9)
- tmchartrand (9)
- ru57y34nn (8)
- sgratiy (5)
- gouwens (3)
- kasbaker (2)
- ozsat (2)
- NileGraddis (2)
- youngseok-seo (2)
- gonzalobenegas (1)
- beilouer (1)
- sayakaminegishi (1)
- sheriferson (1)
- danielsf (1)
Pull Request Authors
- MatthewAitken (17)
- sgratiy (11)
- t-b (9)
- ru57y34nn (6)
- kasbaker (4)
- tmchartrand (4)
- sheriferson (3)
- gouwens (2)
- mzabolocki (2)
- sborde (1)
- NileGraddis (1)
- njmei (1)
- bendichter (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 243 last-month
- Total dependent packages: 1
- Total dependent repositories: 7
- Total versions: 11
- Total maintainers: 1
pypi.org: ipfx
Intrinsic Physiology Feature Extractor (IPFX) - tool for computing neuronal features from the intracellular electrophysiological recordings
- Homepage: https://github.com/AllenInstitute/ipfx
- Documentation: https://ipfx.readthedocs.io/
- License: Other/Proprietary License
-
Latest release: 2.0.0
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- aibs-portal-assets 0.0.24
- allensdk *
- argschema <2.0.0
- dictdiffer *
- h5py ==2.10.0
- marshmallow ==3.0.0rc6
- matplotlib >=1.4.3
- methodtools *
- numpy >=1.15.4,<1.19.0
- pandas >=0.25.1,<=0.25.3
- pg8000 *
- pillow *
- pyYAML <6.0.0
- pyabf <2.3.0
- pynwb >=1.3.2,<2.0.0
- scipy >=0.15.1
- simplejson >=3.10.0
- watchdog *
- m2r *
- mistune <2
- numpydoc >=0.6.0,<1.0.0
- sphinx *
- sphinx-gallery *
- actions/checkout v3 composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- actions/checkout v4 composite
- pytest >=3.3.0 test
- pytest-cov <3.0.0 test
- pytest-xdist ==1.27.0 test
- python ${PYTHON_VERSION} build