luml-ai/luml - Open Source PR Review Scorecard

AI lifecycle platform where engineers and agents track experiments, train models, and ship to production.

C-Rank Grade: A (Welcoming) - 56/100

External PR Merge Rate: 88%

Response Time: 13d

First Timer Success: 88%

Frequently Asked Questions

Is luml-ai/luml welcoming to first-time open-source contributors?

luml-ai/luml has a recorded first-timer success rate of 87.5%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in luml-ai/luml respond to incoming external pull requests in approximately 306.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 55.9 C-Rank™ score (A Tier) represent?

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 55.9 places luml-ai/luml in the A tier.

What is the external contributor pull request merge rate for luml-ai/luml?

The external contributor pull request merge rate for luml-ai/luml is 87.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in luml-ai/luml?

luml-ai/luml does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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luml-ai/luml

205
AWelcoming(56/100)Python

AI lifecycle platform where engineers and agents track experiments, train models, and ship to production.

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Response Velocity
12 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
87.5%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
87.5%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
87.5%
Merge Gauge
87.5%
1st-Timer
Community Vibe61/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for luml-ai/luml
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/luml-ai/luml)](https://getmerged.abhishekco.de/luml-ai/luml?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for luml-ai/luml.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

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Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for luml-ai/luml

When evaluating whether to contribute to luml-ai/luml, 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 luml-ai/luml acknowledge new external contributions in approximately 12 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 87.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to luml-ai/luml

01

Is luml-ai/luml welcoming to first-time open-source contributors?

luml-ai/luml has a recorded first-timer success rate of 87.5%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~12 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 55.9 C-Rank™ score represent?

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 55.9 places luml-ai/luml in the Welcoming tier.

04

What is the external contributor pull request merge rate for luml-ai/luml?

The external pull request merge rate is 87.5%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in luml-ai/luml?

luml-ai/luml does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for luml-ai/luml 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.