awslabs/graphrag-toolkit - Open Source PR Review Scorecard

Python toolkit for building graph-enhanced GenAI applications

C-Rank Grade: A (Welcoming) - 68/100

External PR Merge Rate: 66%

Response Time: 2h

First Timer Success: 20%

Frequently Asked Questions

Is awslabs/graphrag-toolkit welcoming to first-time open-source contributors?

awslabs/graphrag-toolkit has a recorded first-timer success rate of 20.0%. 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 awslabs/graphrag-toolkit respond to incoming external pull requests in approximately 1.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 67.6 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 67.6 places awslabs/graphrag-toolkit in the A tier.

What is the external contributor pull request merge rate for awslabs/graphrag-toolkit?

The external contributor pull request merge rate for awslabs/graphrag-toolkit is 65.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in awslabs/graphrag-toolkit?

awslabs/graphrag-toolkit currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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awslabs/graphrag-toolkit

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Active (30d)A•Welcoming(68/100)Python

Python toolkit for building graph-enhanced GenAI applications

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in awslabs/graphrag-toolkit welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
1 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
65.5%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
20.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
9 core
Highly collaborative maintainer core
Diagnostic Health HUD
65.5%
Merge Gauge
20.0%
1st-Timer
Community Vibe61/100

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GetMerged C-Rank badge for awslabs/graphrag-toolkit
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Active Good First Issues (3)

View on GitHub

Package lexical-graph Problem statement OpenSearch error handling has minimal test coverage (only NotFoundError retry tested). Neptune error tests already exist in test_neptune_graph_stores.py. Checkpoint, cascading deletion, and multi-tenant vector store have no error-path tests. Related: #408 Proposed solution OpenSearch: connection timeout, bulk insert partial failure, auth failure (403), index_exists 404 handling Checkpoint: missing directory, unreadable file (PermissionError), read-only filesystem delete_sources: error mid-cascade propagation, empty source_ids list Multi-tenant: query/write with wrong tenant scoped correctly, no cross-tenant leakage Alternatives considered No response

📅 Opened Jul 24, 2026💬 1 comment
Quality: 80/100Contribute

Package lexical-graph Problem statement 11 graph builder methods generate Cypher via f-strings. Tests verify call counts but never assert on query string content — structurally invalid Cypher (like #408's WHERE () AND ...) passes all tests. source_graph_builder has no test file at all. test_delete_sources.py and test_entity_graph_builder_label_injection.py already assert on query strings — this targets the remaining builders. test_version_manager.py only tests version numbering (get/set/increment/compare). Query generation, source node lookup, lifecycle orchestration, and vector store updates have zero coverage. Related: #408, #415 Proposed solution Add at least one query-string assertion per builder method (11 total: source, graph_summary, entity, entity_relation, topic, fact, statement, chunk builders + version_manager._get_existing_source_nodes + delete_sources.accept + neo4j_graph_store.init) Test VersionManager state transitions: first-time indexing, re-indexing with existing

📅 Opened Jul 24, 2026💬 1 comment
Quality: 80/100Contribute

Package lexical-graph Problem statement graph_utils.py functions lack boundary and edge-case test coverage. test_graph_utils.py covers happy paths; test_graph_utils_injection.py covers basic injection patterns (6 tests). The remaining gaps: parse_metadata_filters_recursive: NOT + empty filters, 3-level nesting, mixed children types escape_cypher_label: empty string, only-backtick, newline inputs formatter_for_type: empty string input Adversarial escaping: unicode null bytes, homoglyphs, oversized keys (10KB+), newlines in keys, nested backtick+quote combos, values containing Cypher syntax, non-string metadata values Related: #408, #415 Proposed solution Extend test_graph_utils.py and test_graph_utils_injection.py with the above edge cases. Alternatives considered No response

📅 Opened Jul 24, 2026💬 1 comment
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for awslabs/graphrag-toolkit

When evaluating whether to contribute to awslabs/graphrag-toolkit, 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 awslabs/graphrag-toolkit acknowledge new external contributions in approximately 1 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 65.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to awslabs/graphrag-toolkit

01

Is awslabs/graphrag-toolkit welcoming to first-time open-source contributors?

awslabs/graphrag-toolkit has a recorded first-timer success rate of 20.0%. 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 ~1 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 67.6 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 67.6 places awslabs/graphrag-toolkit in the Welcoming tier.

04

What is the external contributor pull request merge rate for awslabs/graphrag-toolkit?

The external pull request merge rate is 65.5%. 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 awslabs/graphrag-toolkit?

Yes, awslabs/graphrag-toolkit currently has 3 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 awslabs/graphrag-toolkit 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.