Torq Tech News

C 68 completed
Web App
web_app / markdown · small
93
Files
14,204
LOC
2
Frameworks
10
Languages

Pipeline State

completed
Run ID
#370370
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
68.80
Framework unique
Isolation
Last stage change
2026-05-10 03:35:24
Deduplication group #65834
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · code-quality intelligence platform · https://repobility.com

AI Prompt

Create a fully responsive, modern landing page inspired by MIT Sloan Management Review. The site needs to display 6 dynamic article cards, a newsletter form with validation, and feature smooth animations. The core functionality should involve an intelligent automation agent that scrapes and populates content, updating both the main index.html and caching the data to data_cache.json. It should also include advanced analytics tracking and a separate command-line tool for data analysis. Use Flask for the backend and ensure the design uses a professional red color scheme.
python flask javascript html css web-app analytics automation scraping responsive-design
Generated by gemma4:latest

Catalog Information

TORQ Tech News aggregates and displays tech news from various sources.

Description

This project is a web application that collects and presents tech-related news articles from multiple sources. It utilizes Python, JavaScript, and the Flask framework to create a user-friendly interface for browsing and reading news stories. The application also employs Beautiful Soup for web scraping and PostgreSQL as its database management system. Users can expect a clean and organized layout with easy navigation.

الوصف

هذا المشروع هو تطبيق ويب يجمع ويعرض مقالات الأخبار التقنية من مصادر متعددة. يستخدم هذا المشروع لغة بايثون، جافا سكريبت، وفرーム ورك لإنشاء واجهة مستخدم سهلة الاستخدام للتصفح والقراءة للمقالات. كما يستخدم Beautiful Soup لاستخراج البيانات من الإنترنت و PostgreSQL ك система إدارة قواعد البيانات. يمكن للمستخدمين أن يتوقعوا تصميمًا نظيفًا ومخططًا سهل التصفح.

Novelty

3/10

Tags

tech-news news-aggregator rss-reader web-scraping database-management

Technologies

beautifulsoup flask gunicorn

Claude Models

claude (unknown version)

Quality Score

C
68.5/100
Structure
66
Code Quality
75
Documentation
64
Testing
65
Practices
59
Security
84
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (flake8)
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • 3 bare except/catch blocks swallowing errors
  • 387 duplicate lines detected \u2014 consider DRY refactoring
  • 2 'god files' with >500 LOC need decomposition

Recommendations

  • Add a LICENSE file (MIT recommended for open source)
  • Replace bare except/catch blocks with specific exception types

Security & Health

6.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
About: code-quality intelligence by Repobility · https://repobility.com
Unknown
License
17.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
39.3%
python
26.1%
html
16.2%
javascript
7.3%
css
6.7%
json
3.3%
yaml
0.8%
text
0.2%
toml
0.0%
shell
0.0%

Frameworks

Flask pytest

Concepts (2)

Page rendered by Aljefra Mapper · scored by Repobility (https://repobility.com)
CategoryNameDescriptionConfidence
Want this analysis on your repo? https://repobility.com/scan/
auto_descriptionProject DescriptionA beautiful, responsive landing page inspired by MIT Sloan Management Review with intelligent automation to populate content.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/94575.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV