Dashboard / Repos / Brain Garden

Brain Garden

C 65 completed
Ai Ml
unknown / markdown · small
413
Files
76,315
LOC
0
Frameworks
6
Languages
OverviewFiles & MetricsGit ActivityCall GraphSecurityReports

Pipeline State

completed
Run ID
#372652
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
34.07
Framework unique
—
Isolation
—
Last stage change
2026-04-16 18:15:42
Deduplication group #47562
Member of a group with 1 similar repo(s) — canonical #2677 view group →
Top concepts (1)
Documentation
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot

AI Prompt

I want to build a developer learning tool called "Brain Garden" focused on exploring AI and machine learning concepts. The project structure should be navigable using markdown files, and I need to include sections for different AI concepts, perhaps organized into directories like `Control_Plane_v2/`. Please ensure the structure supports documentation using markdown, and include examples or configurations using JSON, YAML, and Python snippets within the documentation.
markdown python json yaml ai machine-learning developer-tool documentation
Generated by gemma4:latest

Catalog Information

The Brain Garden project is a tool for developers to explore and learn about AI and machine learning concepts.

Description

This project provides an interactive environment where users can experiment with various AI and ML techniques without requiring extensive programming knowledge. The goal is to make complex concepts more accessible and engaging, allowing users to develop a deeper understanding of the subject matter. Currently, there is no description available for this project.

الوصف

هذا المشروع يوفر بيئة تفاعلية حيث يمكن للمستخدمين تجربة تقنيات الذكاء الاصطناعي والتعلم الآلي المختلفة دون الحاجة إلى معرفة برمجة متقدمة. الهدف هو جعل المفاهيم المعقدة أكثر سهولة ومتعة، مما يسمح للمستخدمين بتطوير فهم أعمق للموضوع. لا توجد وصفة متاحة حاليًا لهذا المشروع.

Novelty

5/10

Tags

machine-learning artificial-intelligence interactive-environment education experimentation

Claude Models

claude-opus-4.6 claude-opus-4.5

Quality Score

C
65.2/100
Structure
47
Code Quality
74
Documentation
50
Testing
70
Practices
62
Security
100
Dependencies
60

Strengths

  • Good test coverage (61% test-to-source ratio)
  • 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 CI/CD configuration \u2014 manual testing and deployment
  • 1869 duplicate lines detected \u2014 consider DRY refactoring
  • 11 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)
  • Address 26 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

12.6h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
Unknown
License
11.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
47.4%
python
42.7%
json
5.9%
text
2.2%
yaml
1.6%
shell
0.2%

Frameworks

None detected

Concepts (1)

Findings produced by Repobility · scan your repo at https://repobility.com/scan/
CategoryNameDescriptionConfidence
Repobility · open methodology · https://repobility.com/research/
auto_categoryDocumentationdocs70%

Quality Timeline

1 quality score recorded.

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