apache/datasketches-rust - Open Source PR Review Scorecard

A software library of stochastic streaming algorithms, a.k.a. sketches.

C-Rank Grade: S (Elite) - 75/100

External PR Merge Rate: 80%

Response Time: 4h

First Timer Success: 77%

Frequently Asked Questions

Is apache/datasketches-rust welcoming to first-time open-source contributors?

apache/datasketches-rust has a recorded first-timer success rate of 76.9%. 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 apache/datasketches-rust respond to incoming external pull requests in approximately 4.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 75.4 C-Rankâ„¢ 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 75.4 places apache/datasketches-rust in the S tier.

What is the external contributor pull request merge rate for apache/datasketches-rust?

The external contributor pull request merge rate for apache/datasketches-rust is 80.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in apache/datasketches-rust?

apache/datasketches-rust currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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apache/datasketches-rustS•Elite114
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apache/datasketches-rust

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S•Elite(75/100)Rust

A software library of stochastic streaming algorithms, a.k.a. sketches.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.6/10
Patience Score
8.6/10
Nitpick Rate
35%

Highly welcoming maintainers in apache/datasketches-rust. 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
4 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
80.5%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
76.9%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
15 core
Highly collaborative maintainer core
Diagnostic Health HUD
80.5%
Merge Gauge
76.9%
1st-Timer
Community Vibe82/100

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Active Good First Issues (4)

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Description REQ deserialization currently accepts compactor states that cannot be produced by a valid sketch. Those states can later panic in safe public APIs or violate documented return-value contracts. Two concrete examples on current main: A single-level image with num_sections = 0 deserializes successfully. A subsequent ReqSketch::merge panics at 1u64 << (self.num_sections - 1) because the subtraction underflows. A single-level image whose level-0 compactor declares lg_weight = 63 and contains one item deserializes successfully. Its inclusive rank for that item is approximately 9.22e18, even though ReqSketch::rank promises a result in [0.0, 1.0]. Relevant code: Compactor::deserialize validates only broad section_size_raw and lg_weight bounds ensure_enough_sections assumes num_sections is nonzero ReqSketch::deserialize accepts the reconstructed compactors without validating cross-field invariants Expected fix Validate wire-controlled compactor state before constructing a ReqSke

📅 Opened Aug 25, 2026💬 0 comments
Quality: 90/100Contribute

Good point. I wonder if we'd have a tracking issue to impl fmt::Display for all sketches when applicible. This is what datasketches-java does IMO, but the format can be considered once more. cc @notfilippo @ariesdevil @ZENOTME Originally posted by @tisonkun in #204 (comment)

📅 Opened Aug 25, 2026💬 3 comments
Quality: 75/100Contribute

ThetaIntersection::to_sketch and TupleIntersection::to_sketch currently panic when called before the first update. Both operators expose has_result, and tests explicitly cover the panic, but absence of an intersection state is part of the public state machine and deserves a deliberate API contract. We should decide whether result extraction should: return Option when no result is a normal state; return Result when calling before update is considered recoverable misuse; or retain the panic, with a clear invariant and local Panics documentation. Points to settle: Apply the same contract to Theta and Tuple intersections. Decide whether has_result remains useful after result extraction becomes typed. Define the mathematical meaning of zero updates; the identity for intersection cannot be represented as a finite sketch. Consider reset if it is added to the operators later. Check Java and C++ precedent, while keeping the Rust API misuse-resistant. Document migration if the return type cha

📅 Opened Aug 11, 2026💬 0 comments
Quality: 90/100Contribute

This issue supersedes #10 to squash the historical discussion. Currently, the C++/Go/Java implementations of DataSketches provide snapshot generators for sketches' serialization data. You can check the following scripts for how their snapshots get generated: https://github.com/apache/datasketches-tck/blob/d363b12d/serialization/cpp/generator.py https://github.com/apache/datasketches-tck/blob/d363b12d/serialization/go/generator.py https://github.com/apache/datasketches-tck/blob/d363b12d/serialization/java/generator.py We may provide a binary in datasketches-rust as well to generate snapshots for supported sketches' serialization data. I can imagine it as a local workspace member depending on datasketches and we will have a cargo x task to invoke the generator for automation. Or else, being part of the serde_tests but write the Rust sketch's serialization data to a specific location.

📅 Opened Aug 1, 2026💬 2 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for apache/datasketches-rust

When evaluating whether to contribute to apache/datasketches-rust, 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 apache/datasketches-rust acknowledge new external contributions in approximately 4 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to apache/datasketches-rust

01

Is apache/datasketches-rust welcoming to first-time open-source contributors?

apache/datasketches-rust has a recorded first-timer success rate of 76.9%. 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 ~4 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 75.4 C-Rankâ„¢ score represent?

The C-Rankâ„¢ 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 75.4 places apache/datasketches-rust in the Elite tier.

04

What is the external contributor pull request merge rate for apache/datasketches-rust?

The external pull request merge rate is 80.5%. 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 apache/datasketches-rust?

Yes, apache/datasketches-rust currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rankâ„¢ Indexing Standard

All metrics displayed for apache/datasketches-rust 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.

apache/datasketches-rust (S-Tier 75.4) • 80% Merge | GM