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GitHub / pydantic / pydantic-ai issue stats

Last synced: 4 days ago

Total issues: 531
Total pull requests: 387
Average time to close issues: 21 days
Average time to close pull requests: 8 days
Total issue authors: 370
Total pull request authors: 141
Average comments per issue: 3.73
Average comments per pull request: 2.85
Merged pull requests: 246
Bot issues: 0
Bot pull requests: 0

Past year issues: 531
Past year pull requests: 387
Past year average time to close issues: 21 days
Past year average time to close pull requests: 8 days
Past year issue authors: 370
Past year pull request authors: 141
Past year average comments per issue: 3.73
Past year average comments per pull request: 2.85
Past year merged pull requests: 246
Past year bot issues: 0
Past year bot pull requests: 0

More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/pydantic/pydantic-ai
JSON API: https://issues.ecosyste.ms/api/v1/hosts/GitHub/repositories/pydantic%2Fpydantic-ai

Issue Author Associations

  • None (418, 78.72%)
  • Contributor (90, 16.95%)
  • Member (23, 4.33%)

Pull Request Author Associations

  • Contributor (205, 52.97%)
  • Member (109, 28.17%)
  • None (73, 18.86%)

Top Pull Request Authors


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Top Issue Labels

  • need confirmation (127)
  • Feature request (120)
  • question (111)
  • bug (42)
  • Stale (39)
  • evals (17)
  • MCP (16)
  • documentation (13)
  • OpenTelemetry (10)
  • good first issue (9)
  • graph (7)
  • help wanted (4)
  • a2a (4)
  • more info (4)
  • meta (3)
  • run_stream (3)
  • bedrock (3)
  • usage (3)
  • system prompts (3)
  • refactor (2)
  • caching (2)
  • asyncio (2)
  • citations (2)
  • breaking change (2)
  • toolsets (1)
  • examples (1)
  • duplicate (1)
  • common tools (1)
  • model settings (1)
  • cli (1)

Top Pull Request Labels

  • awaiting author revision (61)
  • documentation (2)
  • Stale (2)
  • MCP (1)
  • breaking change (1)