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GitHub / NVIDIA / spark-rapids issue stats

Last synced: 4 days ago

Total issues: 838
Total pull requests: 723
Average time to close issues: 3 months
Average time to close pull requests: 7 days
Total issue authors: 60
Total pull request authors: 41
Average comments per issue: 1.42
Average comments per pull request: 3.17
Merged pull requests: 576
Bot issues: 0
Bot pull requests: 0

Past year issues: 630
Past year pull requests: 649
Past year average time to close issues: 24 days
Past year average time to close pull requests: 5 days
Past year issue authors: 52
Past year pull request authors: 39
Past year average comments per issue: 1.27
Past year average comments per pull request: 3.11
Past year merged pull requests: 526
Past year bot issues: 0
Past year bot pull requests: 0

More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/NVIDIA/spark-rapids
JSON API: https://issues.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2Fspark-rapids

Issue Author Associations

  • Collaborator (751, 89.62%)
  • Member (44, 5.25%)
  • Contributor (24, 2.86%)
  • None (19, 2.27%)

Pull Request Author Associations

  • Collaborator (677, 93.64%)
  • Member (30, 4.15%)
  • Contributor (15, 2.07%)
  • None (1, 0.14%)

Top Issue Authors

Top Pull Request Authors


All Maintainers

Active Maintainers


Top Issue Labels

  • bug (391)
  • feature request (259)
  • performance (72)
  • Spark 4.0+ (71)
  • ? - Needs Triage (65)
  • test (63)
  • reliability (49)
  • audit_4.0.0 (49)
  • task (40)
  • cudf_dependency (27)
  • build (26)
  • epic (19)
  • P0 (17)
  • audit_3.4.0 (17)
  • documentation (17)
  • invalid (15)
  • good first issue (12)
  • duplicate (11)
  • audit (10)
  • Spark 3.4+ (8)
  • audit_3.3.0 (7)
  • tech debt (6)
  • improve (6)
  • audit_3.5.0 (6)
  • wontfix (5)
  • question (5)
  • tools (4)
  • ease of use (4)
  • Spark 3.5+ (3)
  • SQL (3)

Top Pull Request Labels

  • bug (113)
  • build (105)
  • test (77)
  • task (59)
  • documentation (55)
  • feature request (50)
  • performance (33)
  • Spark 4.0+ (24)
  • reliability (23)
  • Spark 3.4+ (8)
  • tech debt (5)
  • SQL (5)
  • P0 (4)
  • cudf_dependency (4)
  • ease of use (3)
  • spark 3.3+ (1)
  • audit_3.3.0 (1)
  • improve (1)
  • tools (1)