Ris3 Mapa Cr

D 54 completed
Web App
web_app / json · tiny
35
Files
15,567
LOC
2
Frameworks
7
Languages

Pipeline State

completed
Run ID
#307428
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
53.47
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47541
Member of a group with 11 similar repo(s) — canonical #27304 view group →
Top concepts (5)
Project Descriptiondata_accessWeb FrontendConfigurationSearch
Repobility · MCP-ready · https://repobility.com

AI Prompt

Create a web application prototype for analyzing regional specialization domains using public data, similar to the RIS3 Mapa ČR. I need it to visualize and compare regions based on semantic similarity of domain texts and formal matches of CZ-NACE codes. The system should process data by first parsing PDF regional cards using Python, then generating vector embeddings for the domain texts, and finally computing the semantic assignment of VaV projects to domains. The frontend should be built with React and Vite, and I see Python scripts for the data pipeline.
react vite python web-app data-analysis sematics pdf-parsing embeddings visualization json
Generated by gemma4:latest

Catalog Information

This project is a demonstrative prototype that showcases the possibilities and limitations of working with AI assistants for data analysis using public data.

Description

RIS3 Mapa ČR is an interactive visualization tool that compares regions based on semantic similarity of domain texts, formal concordance of CZ-NACE codes, and connections to research projects from the CEP database. The project aims to demonstrate the capabilities and challenges of working with AI assistants for data analysis.

الوصف

هذا المشروع هو نموذج تجريبي يظهر إمكانيات وحدود العمل مع مساعدات الذكاء الاصطناعي في تحليل البيانات باستخدام بيانات عامة. يُظهر هذا الأداة التفاعلية للتصوير، المقارنة بين المناطق على أساس تشابه السيميائية النصية للمجالات، التوافق الرسمي لرموز CZ-NACE، والاتصال بالمشاريع البحثية من قاعدة CEP.

Novelty

7/10

Tags

data-visualization region-comparison ai-assistant public-data semantic-similarity formal-concordance

Technologies

d3 react recharts tailwind vite

Claude Models

claude-opus-4.6

Quality Score

D
53.7/100
Structure
52
Code Quality
70
Documentation
45
Testing
15
Practices
61
Security
75
Dependencies
90

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (eslint)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • 638 duplicate lines detected \u2014 consider DRY refactoring
  • 2 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

6.1h
Tech Debt (A)
Medium
DORA Rating
A
OWASP (100%)
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PASS
Quality Gate
A
Risk (1)
Unknown
License
20.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

json
72.9%
javascript
18.1%
python
8.1%
css
0.4%
yaml
0.3%
markdown
0.1%
html
0.1%

Frameworks

React Vite

Symbols

variable370
function64
constant35

Concepts (5)

Repobility · the analyzer behind every row · https://repobility.com
CategoryNameDescriptionConfidence
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auto_descriptionProject Description> Upozornění: Tato aplikace je demonstrativní prototyp vytvořený pro seminář > AI pro datové analytiky (CzechInvest, březen 2026). Jejím účelem je ukázat > možnosti i limity a problémy práce s AI asistenty kódu při analytické práci80%
arch_layerdata_accessDetected data_access layer70%
auto_categoryWeb Frontendweb-frontend70%
business_logicConfigurationDetected from 2 related files50%
business_logicSearchDetected from 2 related files50%

Quality Timeline

1 quality score recorded.

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BinComp Dependency Hardening

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1 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Fnumpy2.4.4 · 6,596 gadgets · risk 0.0