JOSS: https://github.com/mad-lab-fau/tpcp/
algorithms biosignals data-management data-science machine-learning python
Score: 5.575949103146316
Last synced: about 9 hours ago
JSON representation
Repository metadata:
Pipeline and Dataset helpers for complex algorithm evaluation.
- Host: GitHub
- URL: https://github.com/mad-lab-fau/tpcp/
- Owner: mad-lab-fau
- License: mit
- Created: 2021-11-03T16:40:10.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2026-07-27T22:25:05.000Z (26 days ago)
- Last Synced: 2026-07-30T15:05:56.863Z (23 days ago)
- Topics: algorithms, biosignals, data-management, data-science, machine-learning, python
- Language: Python
- Homepage: https://tpcp.readthedocs.io/en/latest/
- Size: 19.2 MB
- Stars: 20
- Watchers: 2
- Forks: 3
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATION.cff
Owner metadata:
- Name: Machine Learning and Data Analytics Lab FAU
- Login: mad-lab-fau
- Email:
- Kind: organization
- Description: Public projects of the Machine Learning and Data Analytics Lab at the Friedrich-Alexander-University Erlangen-Nürnberg
- Website: https://www.mad.tf.fau.de
- Location: Erlangen, Germany
- Twitter: FAU_MaD_Lab
- Company:
- Icon url: https://avatars.githubusercontent.com/u/48119197?v=4
- Repositories: 17
- Last Synced at: 2023-03-04T14:04:40.645Z
- Profile URL: https://github.com/mad-lab-fau
GitHub Events
Total
- Create event: 6
- Delete event: 2
- Fork event: 1
- Issue comment event: 2
- Issues event: 4
- Pull request event: 3
- Pull request review comment event: 10
- Pull request review event: 3
- Push event: 27
- Release event: 3
- Watch event: 4
- Total: 65
Last Year
- Create event: 3
- Delete event: 1
- Issue comment event: 1
- Issues event: 1
- Push event: 16
- Watch event: 2
- Total: 24
Committers metadata
Last synced: 2 days ago
Total Commits: 975
Total Committers: 8
Avg Commits per committer: 121.875
Development Distribution Score (DDS): 0.132
Commits in past year: 63
Committers in past year: 2
Avg Commits per committer in past year: 31.5
Development Distribution Score (DDS) in past year: 0.016
| Name | Commits | |
|---|---|---|
| Arne Küderle | a****e@g****m | 846 |
| Raul C. Sîmpetru | r****u@f****e | 46 |
| livhe | l****r@f****e | 31 |
| Annika Mücke | a****e@o****e | 31 |
| Robert Richer | r****r@f****e | 17 |
| Martin Ullrich | m****h@f****e | 2 |
| dependabot[bot] | 4****] | 1 |
| Ann-Kristin Seifer | a****r@f****e | 1 |
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 65
Total pull requests: 73
Average time to close issues: 3 months
Average time to close pull requests: 9 days
Total issue authors: 8
Total pull request authors: 5
Average comments per issue: 0.82
Average comments per pull request: 0.71
Merged pull request: 66
Bot issues: 0
Bot pull requests: 3
Past year issues: 4
Past year pull requests: 12
Past year average time to close issues: 15 days
Past year average time to close pull requests: 6 days
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 0.25
Past year average comments per pull request: 1.08
Past year merged pull request: 9
Past year bot issues: 0
Past year bot pull requests: 3
Top Issue Authors
- AKuederle (55)
- paxtonfitzpatrick (3)
- felixkluge (2)
- livhe (1)
- fleiscse (1)
- a-mosquito (1)
- potetopotatooo (1)
- richrobe (1)
Top Pull Request Authors
- AKuederle (64)
- a-mosquito (4)
- dependabot[bot] (3)
- livhe (1)
- richrobe (1)
Top Issue Labels
- help wanted (2)
- good first issue (2)
- bug (2)
- documentation (1)
Top Pull Request Labels
- github_actions (3)
- dependencies (3)
Dependencies
- 113 dependencies
- Sphinx ^5.1.1 develop
- black ^22.3.0 develop
- isort ^5.10.1 develop
- matplotlib ^3.4.3 develop
- memory-profiler ^0.58.0 develop
- numpydoc ^1.4.0 develop
- poethepoet ^0.10.0 develop
- prospector ^1.7.7 develop
- pydata-sphinx-theme ^0.9.0 develop
- pyright ^1.1.230 develop
- pytest ^6.2.1 develop
- pytest-cov ^2.8.1 develop
- recommonmark ^0.7.1 develop
- sphinx-gallery ^0.11.0 develop
- toml ^0.10.2 develop
- joblib ^1.1.0
- numpy ^1
- optuna ^2.10.0
- pandas ^1
- python >=3.7.1,<3.11
- scikit-learn ^1
- torch >=1.6.0
- tqdm ^4.62.3
- typing-extensions >=4.1.1
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v2 composite