meilisearch/meilisearch-dotnet - Open Source PR Review Scorecard

.NET client for Meilisearch

C-Rank Grade: D (Risky) - 13/100

External PR Merge Rate: -

Response Time: 9d

First Timer Success: -

Frequently Asked Questions

Is meilisearch/meilisearch-dotnet welcoming to first-time open-source contributors?

meilisearch/meilisearch-dotnet has a recorded first-timer success rate of 0.0%. Repositories ranked D 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 meilisearch/meilisearch-dotnet respond to incoming external pull requests in approximately 217.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 13.3 C-Rank™ score (D 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 13.3 places meilisearch/meilisearch-dotnet in the D tier.

What is the external contributor pull request merge rate for meilisearch/meilisearch-dotnet?

The external contributor pull request merge rate for meilisearch/meilisearch-dotnet is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in meilisearch/meilisearch-dotnet?

meilisearch/meilisearch-dotnet currently has 12 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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meilisearch/meilisearch-dotnet

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InactiveD•Risky(13/100)Low Sample (<20 PRs)C#

.NET client for Meilisearch

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in meilisearch/meilisearch-dotnet. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in meilisearch/meilisearch-dotnet focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

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 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
0.0%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

Embed C-Rank Badge

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GetMerged C-Rank badge for meilisearch/meilisearch-dotnet
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Active Good First Issues (5)

View on GitHub

The tests are failing when run against Meilisearch v1.54, see failing tests.

📅 Opened Sep 22, 2026💬 2 comments
Quality: 35/100Contribute

Context Meilisearch v1.53.0 adds indexSize and usedIndexSize to per-index stats. Objective Update the SDK so index stats responses include the new indexSize and usedIndexSize fields returned by Get stats of index and per index in Get stats of all indexes. indexSize: size of the index DB (bytes by default; honour sizeFormat when supported) usedIndexSize: size of the used pages of the index DB (bytes by default; honour sizeFormat when supported) Tasks Add indexSize and usedIndexSize to the index stats response shape Update test cases

📅 Opened Aug 11, 2026💬 0 comments
Quality: 50/100Contribute

Context Meilisearch v1.51.0 introduces filter conditions for Dynamic Search Rules (DSR). It also introduces a new lastUpdatedAt field in DSR responses. Objective Update the SDK to support: The new filter activation condition in the conditions object of a DSR. The filter condition contains a values key whose value is a JSON object mapping facet names to their expected filter values. The new lastUpdatedAt field returned by GET /dynamic-search-rules/{:ruleUid} and POST /dynamic-search-rules. Use these resources: Release notes Search Rules Overview — API reference Example of a DSR with a filter condition // PATCH /dynamic-search-rules/test-filter { "conditions": { "filter": { "values": { "color": "red", "category": "shirt" } } }, "actions": [ { "selector": { "indexUid": "products", "id": "123" }, "action": { "type": "pin", "position": 1 } } ] } Tasks Update the conditions parameter to accept the n

📅 Opened Jul 28, 2026💬 0 comments
Quality: 40/100Contribute

Context Meilisearch v1.50.0 revamps the Dynamic Search Rules (DSR) experimental feature with breaking changes to the API. This SDK already shipped the initial v1.41 implementation and must be updated to match the new schema and behavior. WarningThe Dynamic Search Rules API in meilisearch-dotnet v0.19 and v0.20 is incompatible with Meilisearch v1.50+ Request type changes priority → precedence: Renamed to better reflect behavior (lower precedence = applied first). conditions restructured: Changed from an array of { scope, ... } objects to a structured object with two keys: query: a QueryCondition containing isEmpty?: boolean and words?: string[] time: a TimeCondition containing start?: string and end?: string (ISO 8601) contains → words: Query matching is now word-based instead of substring-based. A rule matches if all words in conditions.query.words appear in the search query (after normalization). isEmpty: false can now be combined with words. id now mandatory in the selector

📅 Opened Jul 21, 2026💬 1 comment
Quality: 40/100Contribute

Context Meilisearch introduced document relations as an experimental feature. Objective Add support for the document relations settings as an experimental feature. Experimental features should require opt-in by the user. Read the how to guide for more information. Tasks Add methods to interact with Get foreignKeys, Update foreignKeys, and Reset foreignKeys API endpoints Update the global settings methods to accept and handle the foreignKeys setting Add test cases for all new methods Add code samples in .code-samples.meilisearch.yaml matching the Meilisearch documentation CURL examples: Under get_foreign_keys_setting_1: equivalent of this code sample Under update_foreign_keys_setting_1: equivalent of this code sample Under reset_foreign_keys_setting_1: equivalent of this code sample Resources Release notes: Meilisearch v1.39 introduced cross-index document hydration via a new foreignKeys index setting. This allows linking documents across indexes so that search results are

📅 Opened Jul 1, 2026💬 0 comments
Quality: 40/100Contribute
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Contributor Compatibility & Review Speed Analysis for meilisearch/meilisearch-dotnet

When evaluating whether to contribute to meilisearch/meilisearch-dotnet, 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 meilisearch/meilisearch-dotnet acknowledge new external contributions in approximately 9 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to meilisearch/meilisearch-dotnet

01

Is meilisearch/meilisearch-dotnet welcoming to first-time open-source contributors?

meilisearch/meilisearch-dotnet has a recorded first-timer success rate of 0.0%. Repositories ranked Risky 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 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 13.3 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 13.3 places meilisearch/meilisearch-dotnet in the Risky tier.

04

What is the external contributor pull request merge rate for meilisearch/meilisearch-dotnet?

The external pull request merge rate is 0.0%. 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 meilisearch/meilisearch-dotnet?

Yes, meilisearch/meilisearch-dotnet currently has 12 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 meilisearch/meilisearch-dotnet 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.