JOSS: https://github.com/Aarhus-Psychiatry-Research/timeseriesflattener
electronic-healthcare-data irregular-time-series machine-learning python python3 time-series-analysis
Score: 11.640614826111118
Last synced: about 9 hours ago
JSON representation
Repository metadata:
Converting irregularly spaced time series, such as eletronic health records, into dataframes for tabular classification.
- Host: GitHub
- URL: https://github.com/Aarhus-Psychiatry-Research/timeseriesflattener
- Owner: Aarhus-Psychiatry-Research
- License: mit
- Created: 2022-11-29T19:32:52.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-06-17T10:53:30.000Z (about 1 year ago)
- Last Synced: 2025-10-18T03:06:13.663Z (8 months ago)
- Topics: electronic-healthcare-data, irregular-time-series, machine-learning, python, python3, time-series-analysis
- Language: Python
- Homepage: https://Aarhus-Psychiatry-Research.github.io/timeseriesflattener
- Size: 114 MB
- Stars: 19
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: citation.cff
- Zenodo: .zenodo.json
Owner metadata:
- Name: PSYCOP, Aarhus Psychiatry Research
- Login: Aarhus-Psychiatry-Research
- Email:
- Kind: organization
- Description: PSYchiatric Clinical Outcome Prediction (PSYCOP). Aarhus University Hospital - Psychiatry
- Website: https://www.psykiatrien.rm.dk/afdelinger/auhpsykiatrien/afdeling-for-depression-og-angst/About/
- Location: Aarhus, Denmark
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/81359711?v=4
- Repositories: 4
- Last Synced at: 2023-03-04T04:52:25.921Z
- Profile URL: https://github.com/Aarhus-Psychiatry-Research
GitHub Events
Total
- Create event: 25
- Delete event: 23
- Issue comment event: 37
- Issues event: 3
- Member event: 1
- Pull request event: 38
- Pull request review event: 20
- Push event: 17
- Release event: 3
- Watch event: 3
- Total: 170
Last Year
- Create event: 16
- Delete event: 17
- Issue comment event: 22
- Issues event: 1
- Member event: 1
- Pull request event: 24
- Pull request review event: 11
- Push event: 16
- Release event: 3
- Watch event: 1
- Total: 112
Committers metadata
Last synced: 8 months ago
Total Commits: 1,557
Total Committers: 13
Avg Commits per committer: 119.769
Development Distribution Score (DDS): 0.449
Commits in past year: 12
Committers in past year: 4
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.583
| Name | Commits | |
|---|---|---|
| Martin Bernstorff | m****f@g****m | 858 |
| Lasse | l****0@g****m | 240 |
| dependabot[bot] | 4****] | 117 |
| github-actions | g****s@g****m | 105 |
| bokajgd | b****d@g****m | 83 |
| sarakolding | s****g@l****k | 54 |
| github-actions | a****n@g****m | 40 |
| Kenneth Enevoldsen | k****n@g****m | 34 |
| semantic-release | s****e | 9 |
| frillecode | f****5@g****m | 7 |
| erikperfalk | e****k@g****m | 4 |
| Yaroslav Halchenko | d****n@o****m | 4 |
| signekb | s****k@g****m | 2 |
Issue and Pull Request metadata
Last synced: 10 months ago
Total issues: 18
Total pull requests: 83
Average time to close issues: 25 days
Average time to close pull requests: 12 days
Total issue authors: 4
Total pull request authors: 5
Average comments per issue: 2.44
Average comments per pull request: 1.65
Merged pull request: 16
Bot issues: 0
Bot pull requests: 68
Past year issues: 2
Past year pull requests: 46
Past year average time to close issues: 13 days
Past year average time to close pull requests: 14 days
Past year issue authors: 1
Past year pull request authors: 4
Past year average comments per issue: 1.0
Past year average comments per pull request: 1.43
Past year merged pull request: 7
Past year bot issues: 0
Past year bot pull requests: 40
Top Issue Authors
- MartinBernstorff (63)
- HLasse (23)
- dependabot[bot] (3)
- bokajgd (2)
- sarakolding (1)
- XiaoJia849 (1)
Top Pull Request Authors
- dependabot[bot] (153)
- MartinBernstorff (69)
- HLasse (35)
- sarakolding (12)
- bokajgd (4)
Top Issue Labels
- in-progress (45)
- Stale (9)
- dependencies (3)
Top Pull Request Labels
- dependencies (155)
- Stale (7)
- closed-by-stalebot (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 457 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 102
- Total maintainers: 1
pypi.org: timeseriesflattener
A package for converting time series data from e.g. electronic health records into wide format data.
- Homepage:
- Documentation: https://timeseriesflattener.readthedocs.io/
- Licenses: MIT License Copyright (c) 2022 PSYCOP Group, Aarhus University Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- Latest release: 2.5.2 (published about 1 year ago)
- Last Synced: 2025-10-31T05:09:16.410Z (8 months ago)
- Versions: 102
- Dependent Packages: 1
- Dependent Repositories: 1
- Downloads: 457 Last month
-
Rankings:
- Dependent packages count: 4.732%
- Downloads: 5.711%
- Average: 10.709%
- Dependent repos count: 21.684%
- Maintainers (1)
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