C0Lor Mem

C+ 70 completed
Other
desktop_app / json · small
55
Files
11,149
LOC
4
Frameworks
9
Languages

Pipeline State

completed
Run ID
#394268
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
73.47
Framework unique
Isolation
Last stage change
2026-05-10 03:35:02
Deduplication group #65373
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · severity-and-effort ranking · https://repobility.com

AI Prompt

Create a cross-platform desktop application for media creators to generate test images. I need it to be built using Electron and React, with a Python/FastAPI backend for image processing. The core feature is generating APL test patterns (rectangles/circles) with adjustable white area percentages (1%-100%). It must support multiple color spaces like sRGB, Display P3, and Rec.2020, and handle HDR exports (Ultra HDR, HDR10 PQ). The app should support exporting to PNG, JPEG, HEIF, and video formats (H.264/H.265), and include presets for 28+ popular device resolutions. Please ensure the UI uses a dark theme and supports batch exporting with progress tracking.
electron react typescript python fastapi desktop-app image-processing mediacreator hdr frontend backend
Generated by gemma4:latest

Catalog Information

为显示领域自媒体人打造的测试图像生成桌面工具。

Description

为显示领域自媒体人打造的测试图像生成桌面工具。

Novelty

3/10

Tags

electron react typescript python fastapi desktop-app image-processing mediacreator hdr frontend backend

Technologies

electron react vite

Claude Models

claude-opus-4-6

Quality Score

C+
70.1/100
Structure
65
Code Quality
98
Documentation
43
Testing
40
Practices
68
Security
100
Dependencies
60

Strengths

  • Code linting configured (ruff (possible))
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 185 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.6h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
Unknown
License
3.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

json
73.9%
typescript
11.8%
python
11.4%
markdown
1.6%
shell
0.3%
css
0.3%
yaml
0.3%
toml
0.2%
html
0.2%

Frameworks

FastAPI React Electron pytest

Concepts (2)

Findings curated by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
auto_descriptionProject Description为显示领域自媒体人打造的测试图像生成桌面工具。80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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