samyama-ai/samyama-graph - Open Source PR Review Scorecard

Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.

C-Rank Grade: S (Elite) - 70/100

External PR Merge Rate: 72%

Response Time: 4h

First Timer Success: 83%

Frequently Asked Questions

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

samyama-ai/samyama-graph has a recorded first-timer success rate of 83.3%. Repositories ranked S 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 samyama-ai/samyama-graph respond to incoming external pull requests in approximately 3.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 70.3 C-Rank™ score (S 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 70.3 places samyama-ai/samyama-graph in the S tier.

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

The external contributor pull request merge rate for samyama-ai/samyama-graph is 71.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in samyama-ai/samyama-graph?

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

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samyama-ai/samyama-graphS•Elite180
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samyama-ai/samyama-graph

180
Active (30d)S•Elite(70/100)Rust

Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.4/10
Patience Score
8.6/10
Nitpick Rate
25%

Highly welcoming maintainers in samyama-ai/samyama-graph. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
3 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
71.5%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
83.3%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
3 core
Small core review team
Diagnostic Health HUD
71.5%
Merge Gauge
83.3%
1st-Timer
Community Vibe81/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

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

View all good first issues directly on GitHub

Looking for more Rust beginner tasks?Explore Rust 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.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for samyama-ai/samyama-graph

When evaluating whether to contribute to samyama-ai/samyama-graph, 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 samyama-ai/samyama-graph acknowledge new external contributions in approximately 3 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 71.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to samyama-ai/samyama-graph

01

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

samyama-ai/samyama-graph has a recorded first-timer success rate of 83.3%. Repositories ranked Elite 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 ~3 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 70.3 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 70.3 places samyama-ai/samyama-graph in the Elite tier.

04

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

The external pull request merge rate is 71.5%. 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 samyama-ai/samyama-graph?

samyama-ai/samyama-graph 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 samyama-ai/samyama-graph 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.