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GitHub / sktime / pytorch-forecasting issue stats

Last synced: 2 days ago

Total issues: 200
Total pull requests: 172
Average time to close issues: 8 months
Average time to close pull requests: about 1 month
Total issue authors: 108
Total pull request authors: 44
Average comments per issue: 3.65
Average comments per pull request: 3.92
Merged pull requests: 112
Bot issues: 0
Bot pull requests: 13

Past year issues: 144
Past year pull requests: 146
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 15 days
Past year issue authors: 57
Past year pull request authors: 26
Past year average comments per issue: 2.89
Past year average comments per pull request: 4.11
Past year merged pull requests: 104
Past year bot issues: 0
Past year bot pull requests: 12

More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/sktime/pytorch-forecasting
JSON API: https://issues.ecosyste.ms/api/v1/hosts/GitHub/repositories/sktime%2Fpytorch-forecasting

Issue Author Associations

  • None (91, 45.50%)
  • Collaborator (45, 22.50%)
  • Contributor (33, 16.50%)
  • Member (4, 2.00%)

Pull Request Author Associations

  • Collaborator (69, 40.12%)
  • Contributor (63, 36.63%)
  • None (18, 10.47%)
  • Member (14, 8.14%)

Top Issue Authors

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All Maintainers

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Top Issue Labels

  • bug (54)
  • enhancement (45)
  • maintenance (26)
  • documentation (19)
  • API design (11)
  • feature request (8)
  • good first issue (5)
  • question (3)
  • new network (3)
  • module:models (3)
  • release (2)
  • module:test_framework (2)
  • dependencies (1)

Top Pull Request Labels

  • maintenance (58)
  • enhancement (25)
  • documentation (14)
  • dependencies (14)
  • bug (13)
  • release (8)
  • module:models (5)
  • API design (3)
  • new network (3)
  • module:metrics (2)
  • module:test_framework (2)