Ecosyste.ms: Issues

An open API service for providing issue and pull request metadata for open source projects.

GitHub / argilla-io / argilla issue stats

Last synced: 2 days ago

Total issues: 153
Total pull requests: 260
Average time to close issues: about 2 months
Average time to close pull requests: 8 days
Total issue authors: 52
Total pull request authors: 32
Average comments per issue: 1.97
Average comments per pull request: 1.19
Merged pull requests: 218
Bot issues: 0
Bot pull requests: 1

Past year issues: 120
Past year pull requests: 188
Past year average time to close issues: 2 months
Past year average time to close pull requests: 8 days
Past year issue authors: 47
Past year pull request authors: 27
Past year average comments per issue: 1.82
Past year average comments per pull request: 1.44
Past year merged pull requests: 149
Past year bot issues: 0
Past year bot pull requests: 1

More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/argilla-io/argilla
JSON API: https://issues.ecosyste.ms/api/v1/hosts/GitHub/repositories/argilla-io%2Fargilla

Issue Author Associations

  • Member (75, 49.02%)
  • Contributor (40, 26.14%)
  • None (38, 24.84%)

Pull Request Author Associations

  • Member (179, 68.85%)
  • Contributor (72, 27.69%)
  • None (9, 3.46%)

Top Issue Authors

Top Pull Request Authors


All Maintainers

Active Maintainers


Top Issue Labels

  • status: stale (50)
  • type: documentation (13)
  • area: server (11)
  • area: python sdk (10)
  • area: ui (7)
  • type: enhancement (6)
  • area: ux (5)
  • good first issue (5)
  • type: bug (3)
  • team: backend (3)
  • status: help wanted (3)
  • type: popular request (2)
  • team: ml (2)
  • area: architecture (2)
  • severity: minor (2)
  • type: refactor (1)
  • type: community request (1)
  • language: javascript (1)
  • type: improvement (1)
  • language: python (1)
  • team: frontend (1)

Top Pull Request Labels

  • type: documentation (14)
  • severity: minor (6)
  • type: enhancement (5)
  • language: javascript (4)
  • team: ml (4)
  • area: ui (3)
  • type: refactor (2)
  • area: api (2)
  • type: bug (1)
  • type: improvement (1)
  • area: tests (1)
  • team: backend (1)