nigsp
NiGSP: a module for graph signal processing on neuroimaging data
Science Score: 49.0%
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
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○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 (8.9%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
NiGSP: a module for graph signal processing on neuroimaging data
Basic Info
- Host: GitHub
- Owner: MIPLabCH
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://nigsp.readthedocs.io/en/latest/
- Size: 2.58 MB
Statistics
- Stars: 20
- Watchers: 3
- Forks: 13
- Open Issues: 13
- Releases: 34
Topics
Metadata Files
README.md

NiGSP
<!-- ALL-CONTRIBUTORS-BADGE:END -->
A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data. Full documentation on ReadTheDocs
The project is currently under development stage beta. Any suggestion/bug report is welcome! Feel free to open an issue.
This project follows the all-contributors specification. Contributions of any kind welcome!
Cite
If you use nigsp in your work, please cite either the all-time Zenodo DOI or the Zenodo DOI related to the version you are using.
Please cite the following paper(s) too:
Preti, M.G., Van De Ville, D. Decoupling of brain function from structure reveals regional behavioral specialization in humans. Nat Commun 10, 4747 (2019). https://doi.org/10.1038/s41467-019-12765-7.
If you are using the Couple/Decoupled Functional Connectivity, please cite also:
Griffa, A., et al. Brain structure-function coupling provides signatures for task decoding and individual fingerprinting. NeuroImage 250, 118970 (2022). https://doi.org/10.1016/j.neuroimage.2022.118970.
Stefano Moia 🤔 💻 🚇 📖 📆 |
Nawal Kinani 🎨 |
Mathieu Scheltienne 🚇 📦 |
Maria Giulia Preti 🧑🏫 🤔 💻 🖋 |
Dimitri Van De Ville 🧑🏫 🤔 🖋 💵 |
License
Copyright 2022, Stefano Moia, EPFL.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Owner
- Name: MIPLabCH
- Login: MIPLabCH
- Kind: organization
- Repositories: 2
- Profile: https://github.com/MIPLabCH
GitHub Events
Total
- Watch event: 3
- Delete event: 4
- Issue comment event: 1
- Push event: 8
- Pull request event: 10
- Create event: 5
Last Year
- Watch event: 3
- Delete event: 4
- Issue comment event: 1
- Push event: 8
- Pull request event: 10
- Create event: 5
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 302
- Total Committers: 6
- Avg Commits per committer: 50.333
- Development Distribution Score (DDS): 0.238
Top Committers
| Name | Commits | |
|---|---|---|
| Stefano Moia | s****h@g****m | 230 |
| Stefano Moia | s****a@b****u | 57 |
| pre-commit-ci[bot] | 6****]@u****m | 10 |
| Mathieu Scheltienne | m****e@f****h | 2 |
| dependabot[bot] | 4****]@u****m | 2 |
| Nawal | n****y@g****m | 1 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 12
- Total pull requests: 110
- Average time to close issues: 15 days
- Average time to close pull requests: 8 days
- Total issue authors: 4
- Total pull request authors: 9
- Average comments per issue: 1.0
- Average comments per pull request: 1.25
- Merged pull requests: 103
- Bot issues: 0
- Bot pull requests: 41
Past Year
- Issues: 0
- Pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: about 8 hours
- Issue authors: 0
- Pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.22
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 6
Top Authors
Issue Authors
- mscheltienne (4)
- smoia (2)
- venkateshness (2)
- hugofluhr (2)
Pull Request Authors
- pre-commit-ci[bot] (58)
- smoia (51)
- mscheltienne (19)
- dependabot[bot] (6)
- venkateshness (1)
- domguia (1)
- NawalK (1)
- merelvdthiel (1)
- hugofluhr (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 135 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 32
- Total maintainers: 1
pypi.org: nigsp
A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data.
- Homepage: https://github.com/MIPLabCH/nigsp
- Documentation: https://nigsp.readthedocs.io/
- License: Apache-2.0
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Latest release: 0.19.0
published almost 2 years ago
Rankings
Maintainers (1)
Dependencies
- numpy >=1.9.3
- actions/checkout v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite