You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This report analyzes public, non-archived repositories in the github organization, covering issues and pull request activity over the last 30 days. Data was collected via GitHub API and processed with Python/pandas.
Scope: 200 public non-archived repositories analyzed Β· Period: March 1 β March 30, 2026 Β· Run: Β§23735933506
π Volume Metrics
Overall Status
Metric
Count
ποΈ Repositories Analyzed
200
π΄ Total Open Issues
41
π£ Total Open Pull Requests
43
Last 30 Days Activity
Metric
Count
Health Signal
Issues Opened
65
π₯ Active community engagement
Issues Closed
78
β Closing faster than opening (+13)
PRs Opened
68
π¨ Strong development activity
PRs Merged
93
β Merging faster than opening (+25)
π Org Health: GOOD β Both issues and PRs are being closed/merged faster than they're being opened, indicating healthy throughput and responsive maintainers.
Activity Score = issues Γ 2 + PRs Γ 3 + comments Γ 0.5. The gh-aw repo dominates with nearly double the activity of second place β unsurprising as it is an active agentic workflow development project.
π₯ Top Contributors
View Top 10 Active Contributors Table
Contributor
Issues Opened
PRs Opened
Activity Score
Copilot (AI)
0
99
297
github-actions[bot]
59
36
226
dependabot[bot]
0
17
51
lpcox
5
9
37
ViktorHofer
1
0
2
Note: Copilot and github-actions[bot] are automated agents β the high activity reflects significant automation adoption in the organization. lpcox is the top human contributor.
β οΈ 97% of open issues lack assignees β needs triage
π·οΈ Unlabeled Open Issues
2
β Most issues are labeled
Unassigned Issues: 40 out of 41 open issues have no assignee. This is the highest-priority area for improvement β consider running a triage session to assign ownership.
π‘ Commentary and Recommendations
Overall Assessment: Healthy org with strong automation adoption
The github organization shows excellent throughput metrics β issues and PRs are being resolved faster than they're opened. The high merge-to-open ratio for PRs (93 merged vs 68 opened in 30 days) indicates an active and responsive development culture.
Key Observations:
Automation is dominant: Copilot (AI agent) opened 99 PRs and github-actions[bot] opened 59 issues β bots account for the majority of activity. This reflects healthy CI/CD and dependency management practices.
gh-aw ecosystem is the most active cluster: gh-aw, gh-aw-mcpg, and gh-aw-firewall together account for the vast majority of human-driven development activity, suggesting a focused team with high velocity.
Large issue backlogs in high-profile repos: copilot-cli (1,374 open), codeql (1,352 open), and github-mcp-server (317 open, rapidly growing) have substantial open issue counts. These high-star repos likely need dedicated triage resources.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
-
This report analyzes public, non-archived repositories in the github organization, covering issues and pull request activity over the last 30 days. Data was collected via GitHub API and processed with Python/pandas.
π Volume Metrics
Overall Status
Last 30 Days Activity
π Top Most Active Repositories
π₯ Top Contributors
View Top 10 Active Contributors Table
π₯ High-Activity Items Needing Attention
π Hot Open Issues (Most Comments)
π Hot Open PRs (Most Engagement)
π Repositories with Most Open Issues
π‘ Commentary and Recommendations
Overall Assessment: Healthy org with strong automation adoption
The github organization shows excellent throughput metrics β issues and PRs are being resolved faster than they're opened. The high merge-to-open ratio for PRs (93 merged vs 68 opened in 30 days) indicates an active and responsive development culture.
Key Observations:
Automation is dominant:
Copilot(AI agent) opened 99 PRs andgithub-actions[bot]opened 59 issues β bots account for the majority of activity. This reflects healthy CI/CD and dependency management practices.gh-aw ecosystem is the most active cluster:
gh-aw,gh-aw-mcpg, andgh-aw-firewalltogether account for the vast majority of human-driven development activity, suggesting a focused team with high velocity.Large issue backlogs in high-profile repos:
copilot-cli(1,374 open),codeql(1,352 open), andgithub-mcp-server(317 open, rapidly growing) have substantial open issue counts. These high-star repos likely need dedicated triage resources.Smoke test failures need attention: Issues [WHM] Smoke Create Cross-Repo PR - Persistent Schedule Failures (Systemic Bug)Β #23447 and [WHM] Metrics Collector - 3 Consecutive Failures, Metrics Infrastructure DegradedΒ #23446 in
gh-awreference recurring workflow health monitoring failures β these automation infrastructure issues should be prioritized.Recommended Actions:
Data Collection Methodology
Data Sources
org:github archived:false(200 repos)org:github is:issue created:>=2026-03-01β 65 issuesorg:github is:issue is:closed closed:>=2026-03-01β 78 issuesorg:github is:issue is:openβ 41 issuesorg:github is:pr created:>=2026-03-01β 68 PRsorg:github is:pr is:closed merged:>=2026-03-01β 93 PRsorg:github is:pr is:openβ 43 PRsProcessing
Data processed using Python pandas. Activity scores: issues Γ 2 + PRs Γ 3 + comments Γ 0.5. Charts generated with matplotlib/seaborn at 150 DPI.
Limitations
open_issues_countfield (includes PRs for some repos)References:
Beta Was this translation helpful? Give feedback.
All reactions