nisshi-io/nisshi - Open Source PR Review Scorecard

Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake

C-Rank Grade: A (Welcoming) - 57/100

External PR Merge Rate: 13%

Response Time: 3h

First Timer Success: -

Frequently Asked Questions

Is nisshi-io/nisshi welcoming to first-time open-source contributors?

nisshi-io/nisshi has a recorded first-timer success rate of 0.0%. 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 nisshi-io/nisshi respond to incoming external pull requests in approximately 3.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 57.0 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 57.0 places nisshi-io/nisshi in the A tier.

What is the external contributor pull request merge rate for nisshi-io/nisshi?

The external contributor pull request merge rate for nisshi-io/nisshi is 13.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in nisshi-io/nisshi?

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

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nisshi-io/nisshi

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Active (30d)A•Welcoming(57/100)Low Sample (<20 PRs)Rust

Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake

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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 nisshi-io/nisshi. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in nisshi-io/nisshi focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

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
13.3%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
5 core
Small core review team
Diagnostic Health HUD
13.3%
Merge Gauge
0.0%
1st-Timer
Community Vibe33/100

Embed C-Rank Badge

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

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

Active Good First Issues (1)

View on GitHub

Does it make sense to apply the cleanup.policy to dynostore (S3, memory/etc) based storage engines? Yes, it makes sense to apply cleanup.policy (delete/compact) to dynostore-based backends like S3. Tansu aims to be a drop in replacement for Apache Kafka. In Kafka, cleanup.policy is a core topic configuration that works regardless of the underlying storage (log segments on disk). Users expect the same behavior when they set cleanup.policy=delete or compact (or both) on a topic; especially for S3-backed setups, which are often used for cost-effective, long-term or high-volume storage. One additional suggestion I want to add is in the docs to make this clear explicitly; during the time it is being built. It took me a issue search to figure this out; that the above support is not fully ready. Without this; I see that people using the S3 engine (or S3 compatible ones) will configure topics with retention and compaction policies; expecting it to work. Without enforcement, data will just keep

📅 Opened Apr 11, 2026💬 5 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for nisshi-io/nisshi

When evaluating whether to contribute to nisshi-io/nisshi, 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 nisshi-io/nisshi acknowledge new external contributions in approximately 3 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 13.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to nisshi-io/nisshi

01

Is nisshi-io/nisshi welcoming to first-time open-source contributors?

nisshi-io/nisshi has a recorded first-timer success rate of 0.0%. 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 ~3 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 57.0 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 57.0 places nisshi-io/nisshi in the Welcoming tier.

04

What is the external contributor pull request merge rate for nisshi-io/nisshi?

The external pull request merge rate is 13.3%. 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 nisshi-io/nisshi?

Yes, nisshi-io/nisshi 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 nisshi-io/nisshi 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.