asyncio support for botocore library using aiohttp
C-Rank Grade: A (Welcoming) - 67/100
External PR Merge Rate: 89%
Response Time: -
First Timer Success: 100%
aio-libs/aiobotocore has a recorded first-timer success rate of 100.0%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in aio-libs/aiobotocore respond to incoming external pull requests in approximately 0.0 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 67.2 places aio-libs/aiobotocore in the A tier.
The external contributor pull request merge rate for aio-libs/aiobotocore is 89.3%, based on public PR activity from non-core contributors.
aio-libs/aiobotocore currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Highly welcoming maintainers in aio-libs/aiobotocore. Prompt code reviews with positive guidance for new contributors.
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/aio-libs/aiobotocore?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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Detected: UTC
Maintainers are most responsive around 06:00 UTC (06:00 UTC in your timezone). Recommended submission window is Monday - Wednesday from 04:00 to 08:00 UTC (04:00 - 08:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~16 hours (96% approval). Large PRs (>500 lines) take ~115 hours (40% approval). Keep your diff compact for rapid review.
CautionThis is a popular topic of @webknjaz's rants 🤪 I checked the coverage presented on Codecov and noticed a few common mistakes in the coverage collection/configuration. Look at https://app.codecov.io/gh/aio-libs/aiobotocore/commit/fd5f917524ce98ce5b48b062f2d78815cebe60d6/tree?search=tests%2F&displayType=list and you'll see that the test folder has a bunch of dead code. This ain't good — this means that some tests you might think run don't. This kind of thing may happen when you copy a test but forget to rename the function and so the first one gets shadowed and never runs. Or some logic is bad in helpers. Some bits might be expected to never run and that's fine, however, having those line marked as red makes it harder to rely on the coverage data. And so it's recommended to require 100% coverage on the test folder. This is achievable by using line exclusions and "no cover", "no branch" pragmas that would make coveragepy ignore the lines you don't want to matter completely so
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When evaluating whether to contribute to aio-libs/aiobotocore, 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 aio-libs/aiobotocore acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 89.3% were successfully merged into the primary branch.
aio-libs/aiobotocore has a recorded first-timer success rate of 100.0%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~-. 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 67.2 places aio-libs/aiobotocore in the Welcoming tier.
The external pull request merge rate is 89.3%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, aio-libs/aiobotocore currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for aio-libs/aiobotocore 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.