GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
C-Rank Grade: A (Welcoming) - 57/100
External PR Merge Rate: 72%
Response Time: 3d
First Timer Success: 69%
Canner/WrenAI has a recorded first-timer success rate of 68.8%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in Canner/WrenAI respond to incoming external pull requests in approximately 68.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 56.6 places Canner/WrenAI in the A tier.
The external contributor pull request merge rate for Canner/WrenAI is 72.3%, based on public PR activity from non-core contributors.
Canner/WrenAI does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Balanced & professional review environment in Canner/WrenAI. Maintains strict focus on technical quality and test standards.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/Canner/WrenAI?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
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Maintainers are most responsive around 19:00 UTC (19:00 UTC in your timezone). Recommended submission window is Monday - Wednesday from 17:00 to 21:00 UTC (17:00 - 21:00 UTC local).
Limited recent maintainer review activity recorded for this repository. Prediction based on heuristic baseline.
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~45 hours (90% approval). Large PRs (>500 lines) take ~331 hours (33% approval). Keep your diff compact for rapid review.
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Follow-up to #2570, which added skipped-row reporting and --strict to wren utils parse-types / translate-types. Both items below were raised in that PR's review and deliberately deferred so they wouldn't hold up the fix for #2528. Neither affects the behavior that issue asked for. 1. A truncated corrupt-value repr is indistinguishable from a complete one _report_skipped() in core/wren/src/wren/utils_cli.py bounds each value with {v!r:.120}. That caps the length, but it cuts mid-token and adds no marker, so the reader cannot tell whether they are looking at the whole value or a fragment: $ python -c "import json; print(json.dumps([{'column':'id','raw_type':'int8'}, 'x'*5000]))" \ | wren utils parse-types --dialect postgres >/dev/null Warning: skipped 1 non-mapping row(s) with unexpected values: [1] str: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Note the missing closing quote and the absent ellipsis. The
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When evaluating whether to contribute to Canner/WrenAI, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of Canner/WrenAI acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 72.3% were successfully merged into the primary branch.
Canner/WrenAI has a recorded first-timer success rate of 68.8%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 56.6 places Canner/WrenAI in the Welcoming tier.
The external pull request merge rate is 72.3%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Canner/WrenAI does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.
All metrics displayed for Canner/WrenAI are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.