BerriAI/litellm - Open Source PR Review Scorecard

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

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

External PR Merge Rate: 43%

Response Time: 6h

First Timer Success: 16%

Frequently Asked Questions

Is BerriAI/litellm welcoming to first-time open-source contributors?

BerriAI/litellm has a recorded first-timer success rate of 16.4%. 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 BerriAI/litellm respond to incoming external pull requests in approximately 6.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 56.3 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 56.3 places BerriAI/litellm in the A tier.

What is the external contributor pull request merge rate for BerriAI/litellm?

The external contributor pull request merge rate for BerriAI/litellm is 42.9%, based on public PR activity from non-core contributors.

Are there Good First Issues available in BerriAI/litellm?

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

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BerriAI/litellm

57,575
AWelcoming(56/100)Python

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in BerriAI/litellm. Reviews community pull requests with focus on project quality.

Top PR Submission Do's

  • Follow maintainer feedback from recent PR reviews

Top PR Friction Pitfalls (Don'ts)

  • Do not ignore unresolved maintainer review comments
Response Velocity
6 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
42.9%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
16.4%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
396 core
Highly collaborative maintainer core
Diagnostic Health HUD
42.9%
Merge Gauge
16.4%
1st-Timer
Community Vibe47/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for BerriAI/litellm.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

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 BerriAI/litellm

When evaluating whether to contribute to BerriAI/litellm, 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 BerriAI/litellm acknowledge new external contributions in approximately 6 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 42.9% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to BerriAI/litellm

01

Is BerriAI/litellm welcoming to first-time open-source contributors?

BerriAI/litellm has a recorded first-timer success rate of 16.4%. 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 ~6 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 56.3 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 56.3 places BerriAI/litellm in the Welcoming tier.

04

What is the external contributor pull request merge rate for BerriAI/litellm?

The external pull request merge rate is 42.9%. 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 BerriAI/litellm?

BerriAI/litellm 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 BerriAI/litellm 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.