Polar Python Engineering Benchmarks
Polar Python delivery benchmarks are based on 4 merged pull requests in the last 30 days (6 all-time), with 0.7 hours median cycle time, 2.6 hours median review time, and 2 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is up 300% compared to the prior period.
Polar Python merged 0 PRs in the past 30 days with 0% showing AI-related signals.
Repo vs Polar.sh Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
Cycle Time by AI-Related Signals
PR Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| Fix linting of webhooks custom modules re-export | frankie567 | — |
| Fix too recent type annotation style in webhooks module | frankie567 | — |
| speakeasy: Enable async pagination functions | Yopi | — |
| webhook fixes | Yopi | — |
| Use named arguments for ingestion base | Yopi | — |
Methodology
Metrics are computed from merged pull request data synced daily from GitHub. AI-related metrics are directional signals inferred from pull request activity patterns and heuristics. Summary metrics use a 30-day rolling window; trends use a 90-day window. Last updated 17 hours, 58 minutes ago.
Updated daily from public GitHub pull requests.
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