traceloop/openllmetry - Open Source PR Review Scorecard

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

C-Rank Grade: B (Solid) - 48/100

External PR Merge Rate: 17%

Response Time: 18h

First Timer Success: 3%

Frequently Asked Questions

Is traceloop/openllmetry welcoming to first-time open-source contributors?

traceloop/openllmetry has a recorded first-timer success rate of 2.9%. Repositories ranked B 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 traceloop/openllmetry respond to incoming external pull requests in approximately 17.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 47.9 C-Rank™ score (B 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 47.9 places traceloop/openllmetry in the B tier.

What is the external contributor pull request merge rate for traceloop/openllmetry?

The external contributor pull request merge rate for traceloop/openllmetry is 16.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in traceloop/openllmetry?

traceloop/openllmetry currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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traceloop/openllmetry

7,481
InactiveB•Solid(48/100)Python

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

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AI Maintainer Review Guidelines

Review Persona

Empathetic Community Mentor

Warmth Score
8.8/10
Patience Score
8.9/10
Nitpick Rate
13%

Highly encouraging & supportive maintainers (80% positive review sentiment). Active code reviews with constructive guidance for new contributors in traceloop/openllmetry.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
17 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
16.6%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
2.9%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
62 core
Highly collaborative maintainer core
Diagnostic Health HUD
16.6%
Merge Gauge
2.9%
1st-Timer
Community Vibe24/100

Embed C-Rank Badge

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

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

Active Good First Issues (1)

View on GitHub

Which component is this feature for? AlephAlpha Instrumentation 🔖 Feature description Hi, This project is very interesting and useful for LLM observability. I think adding a simple beginner-friendly example (e.g., tracking a basic LLM call step-by-step) would help new users understand how to get started quickly. I’d be happy to contribute to this if it’s helpful. Thanks! 🎤 Why is this feature needed ? Currently, new users who are not familiar with LLM observability may find it difficult to understand how to get started with tracing. While the documentation is helpful, a simple step-by-step beginner example demonstrating how to trace a basic LLM call would make onboarding much easier. This would help users quickly understand how the library works in practice and reduce the learning curve, especially for those new to observability concepts. ✌️ How do you aim to achieve this? I plan to create a simple, beginner-friendly example demonstrating LLM tracing. This would include:

📅 Opened Apr 30, 2026💬 15 comments
Quality: 30/100Contribute
Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

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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 traceloop/openllmetry

When evaluating whether to contribute to traceloop/openllmetry, 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 traceloop/openllmetry acknowledge new external contributions in approximately 17 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 16.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to traceloop/openllmetry

01

Is traceloop/openllmetry welcoming to first-time open-source contributors?

traceloop/openllmetry has a recorded first-timer success rate of 2.9%. Repositories ranked Solid 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 ~17 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 47.9 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 47.9 places traceloop/openllmetry in the Solid tier.

04

What is the external contributor pull request merge rate for traceloop/openllmetry?

The external pull request merge rate is 16.6%. 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 traceloop/openllmetry?

Yes, traceloop/openllmetry currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for traceloop/openllmetry 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.