Fabric-Project/Fabric - Open Source PR Review Scorecard

Node Creative Coding / 3D / Image Processing tool inspired by Quartz Composer

C-Rank Grade: B (Solid) - 54/100

External PR Merge Rate: 80%

Response Time: 5d

First Timer Success: 25%

Frequently Asked Questions

Is Fabric-Project/Fabric welcoming to first-time open-source contributors?

Fabric-Project/Fabric has a recorded first-timer success rate of 25.0%. Repositories ranked B 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 Fabric-Project/Fabric respond to incoming external pull requests in approximately 123.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 53.9 C-Rank™ score (B 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 53.9 places Fabric-Project/Fabric in the B tier.

What is the external contributor pull request merge rate for Fabric-Project/Fabric?

The external contributor pull request merge rate for Fabric-Project/Fabric is 80.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Fabric-Project/Fabric?

Fabric-Project/Fabric currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Fabric-Project/FabricBSolid543
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Fabric-Project

Fabric-Project/Fabric

543
BSolid(54/100)Swift

Node Creative Coding / 3D / Image Processing tool inspired by Quartz Composer

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Response Velocity
5 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
80.0%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
25.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
3 core
Small core review team
Diagnostic Health HUD
80.0%
Merge Gauge
25.0%
1st-Timer
Community Vibe40/100

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

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

Active Good First Issues (1)

View on GitHub

We ported some of Lygias SDF functions into single channel and two channel effects, but theres a lot more we can add, let a lone the 3D Shapes via ray marching) This is a nice self contained project for folks that want to contribute without needing to learn a ton of Fabrics code base of Swift Some things that would be nice to have 2D SDFs Additional shapes as generators in Fabric Additional operators exposed from Lygia as two channel inputs Update the shared include to support analytical anti-aliasing techniques the 2D SDFs would basically be copying a template, and changing some import code and functions and making sure stuff renders correctly! 3D SDFs Propose / Expose a way to conform the 3D SDF a camera's matrix, so an SDF can be rendered similar to the scene Create a standard include which all 3D SDFs will adhere to (similar to the 2d include) Expose shapes Expose operators Expose blending the 3D SDFs would be a new tranche of work, and would require a bit more knowledg

📅 Opened Jan 12, 2026💬 0 comments
Quality: 70/100Contribute
Looking for more Swift beginner tasks?Explore Swift GFI

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Contributor Compatibility & Review Speed Analysis for Fabric-Project/Fabric

When evaluating whether to contribute to Fabric-Project/Fabric, 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 Fabric-Project/Fabric acknowledge new external contributions in approximately 5 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Fabric-Project/Fabric

01

Is Fabric-Project/Fabric welcoming to first-time open-source contributors?

Fabric-Project/Fabric has a recorded first-timer success rate of 25.0%. Repositories ranked Solid 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 ~5 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 53.9 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 53.9 places Fabric-Project/Fabric in the Solid tier.

04

What is the external contributor pull request merge rate for Fabric-Project/Fabric?

The external pull request merge rate is 80.0%. 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 Fabric-Project/Fabric?

Yes, Fabric-Project/Fabric currently has 1 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 Fabric-Project/Fabric 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.