elastic/elasticsearch - Open Source PR Review Scorecard

Free and Open Source, Distributed, RESTful Search Engine

C-Rank Grade: S (Elite) - 72/100

External PR Merge Rate: 83%

Response Time: 10h

First Timer Success: 72%

Frequently Asked Questions

Is elastic/elasticsearch welcoming to first-time open-source contributors?

elastic/elasticsearch has a recorded first-timer success rate of 72.2%. 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 elastic/elasticsearch respond to incoming external pull requests in approximately 9.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 72.5 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 72.5 places elastic/elasticsearch in the S tier.

What is the external contributor pull request merge rate for elastic/elasticsearch?

The external contributor pull request merge rate for elastic/elasticsearch is 82.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in elastic/elasticsearch?

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

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elastic/elasticsearch

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Free and Open Source, Distributed, RESTful Search Engine

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
7.0/10
Patience Score
7.8/10
Nitpick Rate
35%

Strict review standards in elastic/elasticsearch. Ensure PR scope matches issue requirements closely before requesting review.

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
9 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
82.7%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
72.2%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
182 core
Highly collaborative maintainer core
Diagnostic Health HUD
82.7%
Merge Gauge
72.2%
1st-Timer
Community Vibe78/100

Embed C-Rank Badge

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

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

Active Good First Issues (2)

View on GitHub

Both SecurityMigrationExecutor and SystemIndexMigrationExecutor are run-to-completion one-shot migration tasks rather than continuously-running services. They do not "persist" in any meaningful sense, instead they have some external retry mechanism, so it seems that they would better fit as just regular transport actions instead. Refactoring those task to not be persistent tasks would also get us one step closer to removing the automaticReassignmentOnShutdown() persistent task executor flag (see #138565) and making this feature default everywhere. See: #145753 for more details

📅 Opened Apr 17, 2026💬 7 comments
Quality: 70/100Contribute

ILMHistoryStore uses BulkProcessor to retry indexing history up to 3 times if it hits a EsRejectedExecutionException because the cluster was too busy. From what I can tell, SnapshotHistoryStore just makes a single attempt, and logs an error and moves on if it hits EsRejectedExecutionException. I have seen this several times in production logs. We ought to have SnapshotHistoryStore use BulkProcessor to make a few attempts before giving up.

📅 Opened Feb 5, 2026💬 7 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for elastic/elasticsearch

When evaluating whether to contribute to elastic/elasticsearch, 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 elastic/elasticsearch acknowledge new external contributions in approximately 9 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 82.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to elastic/elasticsearch

01

Is elastic/elasticsearch welcoming to first-time open-source contributors?

elastic/elasticsearch has a recorded first-timer success rate of 72.2%. 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 ~9 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 72.5 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 72.5 places elastic/elasticsearch in the Elite tier.

04

What is the external contributor pull request merge rate for elastic/elasticsearch?

The external pull request merge rate is 82.7%. 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 elastic/elasticsearch?

Yes, elastic/elasticsearch 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 elastic/elasticsearch 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.

elastic/elasticsearch • 72.5/100 C-Rank (S-Tier) | GetMerged