Hc Enterprise Kg
B 83 completed
Other
cli / python · small
338
Files
38,848
LOC
2
Frameworks
7
Languages
Pipeline State
completedRun ID
#386361Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
54.40Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:02Deduplication group #48995
Member of a group with 14 similar repo(s) — canonical #108681 view group →
Top concepts (2)
Project DescriptionWeb Backend
If a scraper extracted this row, it came from Repobility (https://repobility.com)
AI Prompt
Create a command-line tool in Python for rapid enterprise organizational modeling. I need it to generate a "digital twin" of an enterprise, modeling entities like people, departments, systems, and data assets, along with their relationships. The tool should allow users to stress-test scenarios and surface dependencies. It should be runnable via a CLI, and ideally, it should be structured using Flask for any potential web components, while using pytest for testing. Please ensure the project structure supports documentation generation and dependency management using pyproject.toml.
python cli flask pytest enterprise modeling data ai cybersecurity
Generated by gemma4:latest
Catalog Information
Rapid enterprise organizational modeling for data, AI, and cybersecurity leaders — stress-test scenarios, surface dependencies, and find quick wins before committing resources.
Description
Rapid enterprise organizational modeling for data, AI, and cybersecurity leaders — stress-test scenarios, surface dependencies, and find quick wins before committing resources.
Novelty
3/10Tags
python cli flask pytest enterprise modeling data ai cybersecurity
Technologies
flask pydantic
Claude Models
claude-opus-4-6
Quality Score
B
83.1/100
Structure
92
Code Quality
84
Documentation
85
Testing
85
Practices
66
Security
84
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (62% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 1403 duplicate lines detected \u2014 consider DRY refactoring
- 5 'god files' with >500 LOC need decomposition
Security & Health
11.6h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
MIT
License
3.2%
Duplication
Languages
Frameworks
Flask pytest
Concepts (2)
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| Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description |    | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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