gokayfem/ComfyUI_VLM_nodes - Open Source PR Review Scorecard

ComfyUI nodes for vision-language models: Qwen3-VL, Moondream 3, Florence-2, SmolVLM2, InternVL, Gemma 3, MiniCPM-V. Plus open-vocabulary detection, SAM2/SAM3 segmentation, video temporal reasoning, GGUF via llama.cpp, and hosted LLM/VLM APIs.

C-Rank Grade: B (Solid) - 49/100

External PR Merge Rate: 100%

Response Time: -

First Timer Success: -

Frequently Asked Questions

Is gokayfem/ComfyUI_VLM_nodes welcoming to first-time open-source contributors?

gokayfem/ComfyUI_VLM_nodes has a recorded first-timer success rate of 0.0%. 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 gokayfem/ComfyUI_VLM_nodes 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 48.8 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 48.8 places gokayfem/ComfyUI_VLM_nodes in the B tier.

What is the external contributor pull request merge rate for gokayfem/ComfyUI_VLM_nodes?

The external contributor pull request merge rate for gokayfem/ComfyUI_VLM_nodes is 100.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in gokayfem/ComfyUI_VLM_nodes?

gokayfem/ComfyUI_VLM_nodes does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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gokayfem/ComfyUI_VLM_nodes

578
BSolid(49/100)Python

ComfyUI nodes for vision-language models: Qwen3-VL, Moondream 3, Florence-2, SmolVLM2, InternVL, Gemma 3, MiniCPM-V. Plus open-vocabulary detection, SAM2/SAM3 segmentation, video temporal reasoning, GGUF via llama.cpp, and hosted LLM/VLM APIs.

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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%

Growing Python project in gokayfem/ComfyUI_VLM_nodes welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • Ensure code complies with Python style conventions
  • Keep PRs scoped 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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
100.0%
High acceptance rate for external PRs

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
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
100.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe40/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for gokayfem/ComfyUI_VLM_nodes.

View all good first issues directly on GitHub

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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.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for gokayfem/ComfyUI_VLM_nodes

When evaluating whether to contribute to gokayfem/ComfyUI_VLM_nodes, 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 gokayfem/ComfyUI_VLM_nodes acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 100.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to gokayfem/ComfyUI_VLM_nodes

01

Is gokayfem/ComfyUI_VLM_nodes welcoming to first-time open-source contributors?

gokayfem/ComfyUI_VLM_nodes has a recorded first-timer success rate of 0.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 48.8 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 48.8 places gokayfem/ComfyUI_VLM_nodes in the Solid tier.

04

What is the external contributor pull request merge rate for gokayfem/ComfyUI_VLM_nodes?

The external pull request merge rate is 100.0%. 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 gokayfem/ComfyUI_VLM_nodes?

gokayfem/ComfyUI_VLM_nodes does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for gokayfem/ComfyUI_VLM_nodes 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.