apache/hugegraph - Open Source PR Review Scorecard

A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)

C-Rank Grade: A (Welcoming) - 67/100

External PR Merge Rate: 65%

Response Time: -

First Timer Success: 100%

Frequently Asked Questions

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

apache/hugegraph 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 apache/hugegraph 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 67.4 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 67.4 places apache/hugegraph in the A tier.

What is the external contributor pull request merge rate for apache/hugegraph?

The external contributor pull request merge rate for apache/hugegraph is 65.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in apache/hugegraph?

apache/hugegraph currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

apache
apache/hugegraphA•Welcoming3.2k
GitHub
Back to Explorer
apache

apache/hugegraph

3,191
Active (30d)A•Welcoming(67/100)Java

A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)

GitHub
Compare••
Jump to:

AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
6.4/10
Patience Score
7.0/10
Nitpick Rate
46%

Rigorous architecture standards (71% critical review signals). Ensure PRs strictly follow guidelines before requesting review in apache/hugegraph.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
65.4%
Moderate PR acceptance rate

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
21 core
Highly collaborative maintainer core
Diagnostic Health HUD
65.4%
Merge Gauge
100.0%
1st-Timer
Community Vibe56/100

Embed C-Rank Badge

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

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

Active Good First Issues (4)

View on GitHub

1.8.0 release checklist Focus: Hubble, ordinary Loader and Client. Mainline + matching immutable RCs: Server/Toolchain/Doc master; AI main. Java 17 Server/Toolchain foundations are delivered. Latest changes checked 2026-10-09 20:26–20:30 UTC; CI evidence is SHA-bound and time-limited below. 1.7 → 1.8 upgrade compatibility remains a release gate. Outstanding Server / PD / Store P0 · HStore upgrade #3224 · fix or verified migration/recovery; preserve old 0xFFFE data through startup replay, first write and rollback on every replica P1 · Index coverage #3243 · query/index + RC regressions open P1 · Query wrappers #2994 · conflicts + current-head review closure P1 · Mounted auth upgrades #3192 · conflicts + YAML/image/config acceptance P1 · External runtime paths #3253 · conflicts; PD/Store -jar ordering + path/cron regressions; CI approval P1 · Cypher error contract #3241 · conflicts; coordinate compatible follow-up P1 · Cypher compatibility #3259 · draft/confli

📅 Opened Sep 26, 2026💬 1 comment
Quality: 65/100Contribute

Goal Explore an incremental Rust implementation for selected HugeGraph Server, HStore, and PD components, especially performance- or memory-sensitive paths where Rust can provide measurable safety and efficiency benefits. This is a parent tracking issue, not a commitment to rewrite the whole server. The current implementation remains the compatibility baseline, and Java/Rust components may coexist behind stable process, protocol, or storage boundaries. Roadmap at a glance Toolchain foundations │ v ┌─ This repository ─────────────────┐ │ Server core -> HStore -> PD │ └───────────────────────────────────┘ │ v Computer kernels -> Vermeer/OLAP Each arrow is a review gate, not an automatic rewrite. Proposed priority Server core Begin with bounded leaf components, memory management, codecs, or performance-sensitive data structures

📅 Opened Jul 24, 2026💬 4 comments
Quality: 80/100Contribute

Problem PR #3008 exposed 22 historically excluded HStore core-test cases after the Maven backend property was propagated to every Surefire execution. Scoping that property back to the API-test execution fixes the PR regression, but it does not resolve the underlying HStore defects or the legacy test guards. The exclusions were introduced by d36e05ece8554fee73ba332147560930b3eba234 as temporary HStore skips. Their conditions use Assume.assumeTrue(isHstore) despite saying skip this test for hstore. Before PR #3008, the core-test JVM did not receive the backend property, so these tests were skipped because the value was null. A global property exposed 21 failures/errors and reduced skipped tests from 42 to 20. Historical evidence: Passing baseline: https://github.com/apache/hugegraph/actions/runs/29094884977 First exposing run: https://github.com/apache/hugegraph/actions/runs/29097183435 Latest repeated failure: https://github.com/apache/hugegraph/actions/runs/29105710720 Confirmed tech

📅 Opened Jul 10, 2026💬 10 comments
Quality: 80/100Contribute

Feature Description (功能描述) Currently, the REST API responses in the server,pd and store modules lack a standardized format. When a request fails (e.g., Raft group not found, store heartbeat timeout), the error message is often missing or buried in logs rather than being returned in a clear, actionable format to the user. An example response format is as follows { "code": 200, "message": "success", // hint for user "data": { ... }, "status": "OK" }

📅 Opened Mar 21, 2026💬 1 comment
Quality: 30/100Contribute
Looking for more Java beginner tasks?Explore Java 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 apache/hugegraph

When evaluating whether to contribute to apache/hugegraph, 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/hugegraph acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 65.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to apache/hugegraph

01

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

apache/hugegraph 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 67.4 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 67.4 places apache/hugegraph in the Welcoming tier.

04

What is the external contributor pull request merge rate for apache/hugegraph?

The external pull request merge rate is 65.4%. 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/hugegraph?

Yes, apache/hugegraph currently has 4 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 apache/hugegraph 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.