ai4s-research/open-science - Open Source PR Review Scorecard

Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

C-Rank Grade: B (Solid) - 53/100

External PR Merge Rate: 62%

Response Time: 10h

First Timer Success: 25%

Frequently Asked Questions

Is ai4s-research/open-science welcoming to first-time open-source contributors?

ai4s-research/open-science has a recorded first-timer success rate of 25.0%. 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 ai4s-research/open-science respond to incoming external pull requests in approximately 10.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 52.9 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 52.9 places ai4s-research/open-science in the B tier.

What is the external contributor pull request merge rate for ai4s-research/open-science?

The external contributor pull request merge rate for ai4s-research/open-science is 62.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in ai4s-research/open-science?

ai4s-research/open-science does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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ai4s-research/open-scienceBSolid1.4k
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ai4s-research

ai4s-research/open-science

1,419
BSolid(53/100)TypeScript

Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

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AI Maintainer Review Guidelines

Review Persona

Constructive Code Reviewer

Warmth Score
7.4/10
Patience Score
7.8/10
Nitpick Rate
33%

Balanced & professional review environment in ai4s-research/open-science. Maintains strict focus on technical quality and test standards.

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
10 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
62.2%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
25.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
11 core
Highly collaborative maintainer core
Diagnostic Health HUD
62.2%
Merge Gauge
25.0%
1st-Timer
Community Vibe55/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for ai4s-research/open-science
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/ai4s-research/open-science)](https://getmerged.abhishekco.de/ai4s-research/open-science?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for ai4s-research/open-science.

View all good first issues directly on GitHub

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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 ai4s-research/open-science

When evaluating whether to contribute to ai4s-research/open-science, 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 ai4s-research/open-science acknowledge new external contributions in approximately 10 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 62.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to ai4s-research/open-science

01

Is ai4s-research/open-science welcoming to first-time open-source contributors?

ai4s-research/open-science has a recorded first-timer success rate of 25.0%. 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 ~10 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 52.9 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 52.9 places ai4s-research/open-science in the Solid tier.

04

What is the external contributor pull request merge rate for ai4s-research/open-science?

The external pull request merge rate is 62.2%. 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 ai4s-research/open-science?

ai4s-research/open-science 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 ai4s-research/open-science 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.