JOSS: https://github.com/nla-group/fABBA
dimensionality-reduction machine-learning symbolic-aggregate-approximation symbolic-representation time-series time-series-analysis time-series-classification time-series-clustering time-series-forecasting
Score: 10.82345152977658
Last synced: about 23 hours ago
JSON representation
Repository metadata:
A Python library for the fast symbolic approximation of time series
- Host: GitHub
- URL: https://github.com/nla-group/fABBA
- Owner: nla-group
- License: bsd-3-clause
- Created: 2021-09-09T07:16:42.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2026-05-21T08:15:02.000Z (about 1 month ago)
- Last Synced: 2026-06-06T14:03:48.496Z (15 days ago)
- Topics: dimensionality-reduction, machine-learning, symbolic-aggregate-approximation, symbolic-representation, time-series, time-series-analysis, time-series-classification, time-series-clustering, time-series-forecasting
- Language: Python
- Homepage:
- Size: 803 MB
- Stars: 51
- Watchers: 2
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.bib
Owner metadata:
- Name: nla-group
- Login: nla-group
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/50701217?v=4
- Repositories: 8
- Last Synced at: 2023-03-03T15:07:06.689Z
- Profile URL: https://github.com/nla-group
GitHub Events
Total
- Create event: 1
- Fork event: 2
- Issue comment event: 2
- Issues event: 2
- Push event: 63
- Watch event: 7
- Total: 77
Last Year
- Issues event: 1
- Push event: 30
- Watch event: 2
- Total: 33
Committers metadata
Last synced: 9 days ago
Total Commits: 625
Total Committers: 3
Avg Commits per committer: 208.333
Development Distribution Score (DDS): 0.014
Commits in past year: 80
Committers in past year: 1
Avg Commits per committer in past year: 80.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Null | 4****e | 616 |
| Stefan Güttel | g****l | 8 |
| Oskar Laverny | o****y@u****r | 1 |
Issue and Pull Request metadata
Last synced: 17 days ago
Total issues: 5
Total pull requests: 2
Average time to close issues: 3 months
Average time to close pull requests: about 1 hour
Total issue authors: 5
Total pull request authors: 2
Average comments per issue: 2.0
Average comments per pull request: 0.5
Merged pull request: 2
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: 10 months
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 3.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- IlyaChernoglazov (1)
- nsankar (1)
- whyupupup (1)
- lrnv (1)
- allie-tatarian (1)
Top Pull Request Authors
- chenxinye (1)
- lrnv (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 326 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 1 (may contain duplicates)
- Total versions: 145
- Total maintainers: 1
pypi.org: fabba
An efficient symbolic time series approximation with ABBA.
- Homepage: https://github.com/nla-group/fABBA
- Documentation: https://fabba.readthedocs.io/
- Licenses: BSD-3-Clause
- Latest release: 1.5.2 (published 6 months ago)
- Last Synced: 2026-06-12T17:00:41.951Z (9 days ago)
- Versions: 142
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 326 Last month
-
Rankings:
- Downloads: 9.1%
- Dependent packages count: 10.141%
- Stargazers count: 12.3%
- Average: 13.986%
- Forks count: 16.864%
- Dependent repos count: 21.526%
- Maintainers (1)
conda-forge.org: fabba
- Homepage: https://github.com/nla-group/fABBA
- Licenses: BSD-3-Clause
- Latest release: 1.0.7 (published over 3 years ago)
- Last Synced: 2026-04-01T01:59:07.917Z (3 months ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 34.025%
- Stargazers count: 44.567%
- Average: 45.988%
- Dependent packages count: 51.175%
- Forks count: 54.185%
Dependencies
- actions/checkout v2 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
- sphinx_rtd_theme *
- joblib >=1.1.1
- matplotlib *
- numpy >=1.3.0
- pandas *
- requests *
- scikit-learn *
- scipy >=0.7.0
- cython *
- numpy *
- pandas *
- requests *
- scipy >1.2.1