https://github.com/norskregnesentral/skchange

skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
https://github.com/norskregnesentral/skchange

Keywords

anomaly-detection change-detection machine-learning statistics time-series-segmentation

Last synced: 11 months ago
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Acceptance Criteria

Repository metadata

skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: over 1 year ago

Total Commits: 221
Total Committers: 2
Avg Commits per committer: 110.5
Development Distribution Score (DDS): 0.032

Commits in past year: 221
Committers in past year: 2
Avg Commits per committer in past year: 110.5
Development Distribution Score (DDS) in past year: 0.032

Name Email Commits
tveten t****n@n****o 214
Martin Tveten m****n@g****m 7

Committer domains:


Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 0
Total pull requests: 6
Average time to close issues: N/A
Average time to close pull requests: 4 days
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.83
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 6
Past year average time to close issues: N/A
Past year average time to close pull requests: 4 days
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.83
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/norskregnesentral/skchange

Top Issue Authors

Top Pull Request Authors

  • Tveten (6)

Top Issue Labels

Top Pull Request Labels

  • enhancement (1)

Dependencies

.github/workflows/tests.yaml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
  • pre-commit/action v3.0.0 composite
  • trilom/file-changes-action v1.2.4 composite
pyproject.toml pypi
  • numba >=0.56
  • numpy <1.27,>=1.21
  • pandas <2.2.0,>=1.3
  • sktime >=0.23.0

Score: 0.6931471805599453