Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
C-Rank Grade: A (Welcoming) - 59/100
External PR Merge Rate: 76%
Response Time: 19h
First Timer Success: 43%
helmholtz-analytics/heat has a recorded first-timer success rate of 42.9%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in helmholtz-analytics/heat respond to incoming external pull requests in approximately 18.9 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 59.2 places helmholtz-analytics/heat in the A tier.
The external contributor pull request merge rate for helmholtz-analytics/heat is 76.4%, based on public PR activity from non-core contributors.
helmholtz-analytics/heat currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
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/helmholtz-analytics/heat?utm_source=github&utm_medium=badge)
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 15:00 UTC (15:00 UTC in your timezone). Recommended submission window is Tuesday - Thursday from 13:00 to 17:00 UTC (13:00 - 17:00 UTC local).
Limited recent maintainer review activity recorded for this repository. Prediction based on heuristic baseline.
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This repository currently has 4 open good first issue tickets available for newcomers.
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When evaluating whether to contribute to helmholtz-analytics/heat, 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 helmholtz-analytics/heat acknowledge new external contributions in approximately 18 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 76.4% were successfully merged into the primary branch.
helmholtz-analytics/heat has a recorded first-timer success rate of 42.9%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~18 hours. 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 59.2 places helmholtz-analytics/heat in the Welcoming tier.
The external pull request merge rate is 76.4%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, helmholtz-analytics/heat currently has 4 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for helmholtz-analytics/heat 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.