Cuttrace

D 59 completed
Cli Tool
cli / python · tiny
13
Files
535
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#369251
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_tiny
Novelty
23.12
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47804
Member of a group with 2 similar repo(s) — canonical #73474 view group →
Top concepts (1)
Project Description
About: code-quality intelligence by Repobility · https://repobility.com

AI Prompt

Create a command-line tool in Python that can generate vector cut paths. This tool should specifically process transparent PNG sticker sheets, which are intended for cutting machines. It needs to read configuration details from a YAML file and potentially use a TOML file for project settings. The output should be the generated vector paths.
python cli image-processing vector-graphics png cutting-machine automation
Generated by gemma4:latest

Catalog Information

Generate vector cut paths from transparent PNG sticker sheets for cutting machines.

Description

Cuttrace is a command‑line utility that converts transparent PNG sticker sheets into vector cut paths suitable for vinyl cutters, laser engravers, and plotters. It analyzes the alpha channel of each image, traces the outlines, and outputs clean SVG or DXF files. The tool supports batch processing, allowing users to convert multiple stickers in one run. It is designed for hobbyists, small business owners, and designers who need quick, accurate cut files without manual tracing. By automating the vectorization step, Cuttrace saves time and reduces errors in the cutting workflow.

الوصف

يُعد Cuttrace أداة سطر أوامر تقوم بتحويل أوراق ملصقات PNG شفافة إلى مسارات قطع متجهة مناسبة لآلات القطع مثل آلات الفينيل، والليزر، والرسام. تقوم الأداة بتحليل قناة الشفافية لكل صورة، وتتبّع الحدود، وتنتج ملفات SVG أو DXF نظيفة ودقيقة. تدعم الأداة معالجة الدُفعات، ما يتيح للمستخدم تحويل عدة ملصقات دفعة واحدة. تم تصميمها للمصممين، وأصحاب الأعمال الصغيرة، والهواة الذين يحتاجون إلى ملفات قطع دقيقة وسريعة دون الحاجة إلى تتبع يدوي. من خلال أتمتة خطوة التتبع المتجه، يوفر Cuttrace الوقت ويقلل الأخطاء في سير عمل القطع.

Novelty

6/10

Tags

vectorization sticker-cutting png-processing cut-path-generation design-automation crafting cnc-cutting

Technologies

click numpy

Claude Models

claude-opus-4.6

Quality Score

D
58.8/100
Structure
43
Code Quality
100
Documentation
17
Testing
0
Practices
85
Security
100
Dependencies
60

Strengths

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

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (E)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (10)
Source: Repobility analyzer · https://repobility.com
Unknown
License
1.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
92.4%
toml
4.0%
markdown
2.1%
yaml
1.5%

Frameworks

None detected

Concepts (1)

Page rendered by Aljefra Mapper · scored by Repobility (https://repobility.com)
CategoryNameDescriptionConfidence
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
auto_descriptionProject DescriptionGenerate vector cut paths from transparent PNG sticker sheets80%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/93454.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV