Kotlin/dataframe - Open Source PR Review Scorecard

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

C-Rank Grade: A (Welcoming) - 69/100

External PR Merge Rate: 77%

Response Time: -

First Timer Success: 100%

Frequently Asked Questions

Is Kotlin/dataframe welcoming to first-time open-source contributors?

Kotlin/dataframe has a recorded first-timer success rate of 100.0%. 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 Kotlin/dataframe respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 68.5 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 68.5 places Kotlin/dataframe in the A tier.

What is the external contributor pull request merge rate for Kotlin/dataframe?

The external contributor pull request merge rate for Kotlin/dataframe is 77.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Kotlin/dataframe?

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

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Kotlin DataFrame: typesafe in-memory structured data processing for JVM

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.9/10
Patience Score
8.8/10
Nitpick Rate
30%

Highly welcoming maintainers in Kotlin/dataframe. 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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
77.2%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
8 core
Highly collaborative maintainer core
Diagnostic Health HUD
77.2%
Merge Gauge
100.0%
1st-Timer
Community Vibe61/100

Embed C-Rank Badge

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GetMerged C-Rank badge for Kotlin/dataframe
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Active Good First Issues (1)

View on GitHub

Follow up of #906 The same as in #906 needs to be done, but for the following aliases as well: AnyCol, AnyColumnReference, AnyColumnGroupAccessor, StringCol, ColumnGroupReference The changes should not include internal usages, and the declarations of the aliases themselves should not be removed. The main idea is to make code completion in the public API cleaner.

📅 Opened May 19, 2026💬 1 comment
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for Kotlin/dataframe

When evaluating whether to contribute to Kotlin/dataframe, 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 Kotlin/dataframe acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 77.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Kotlin/dataframe

01

Is Kotlin/dataframe welcoming to first-time open-source contributors?

Kotlin/dataframe has a recorded first-timer success rate of 100.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 68.5 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 68.5 places Kotlin/dataframe in the Welcoming tier.

04

What is the external contributor pull request merge rate for Kotlin/dataframe?

The external pull request merge rate is 77.2%. 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 Kotlin/dataframe?

Yes, Kotlin/dataframe 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 Kotlin/dataframe 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.