Live Sports Lounge

F 46 completed
Web App
web_app / python · tiny
28
Files
2,542
LOC
1
Frameworks
5
Languages

Pipeline State

completed
Run ID
#372540
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
46.68
Framework unique
Isolation
Last stage change
2026-05-10 03:35:38
Deduplication group #51758
Member of a group with 9 similar repo(s) — canonical #94577 view group →
Top concepts (1)
Web Backend
Repobility · open methodology · https://repobility.com/research/

AI Prompt

Create a live sports lounge web application using Python and FastAPI. The goal is to provide users with real-time updates about sports. I need the structure to support a web application feel, so please ensure the necessary frontend components using HTML and CSS are considered, alongside the Python backend logic. The project should be set up to handle streaming or real-time data feeds for sports updates.
python fastapi web-app sports real-time javascript html css
Generated by gemma4:latest

Catalog Information

This project is a live sports lounge application for users to engage with real-time sports updates.

Description

The qwertycooler0-wq__live-sports-lounge project appears to be a web-based platform that provides live sports updates and possibly allows users to interact with the content. However, without further information, it's difficult to determine its full scope and features. It is built using Python, FastAPI, and Uvicorn.

الوصف

يبدو أن مشروع qwertycooler0-wq__live-sports-lounge هو منصة ويب تقدم تحديثات رياضية حية وربما تسمح للمستخدمين بالتفاعل مع المحتوى. ومع ذلك، دون مزيد من المعلومات، صعب تحديد نطاقه الكامل والخصائص. تم بناؤه باستخدام لغة البرمجة Python وفاست API وأويكورن.

Novelty

3/10

Tags

live-sports-updates real-time-data sports-platform user-interaction web-application

Technologies

fastapi uvicorn

Claude Models

claude-opus-4.6

Quality Score

F
46.0/100
Structure
34
Code Quality
64
Documentation
13
Testing
0
Practices
75
Security
100
Dependencies
60

Strengths

  • 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
  • 129 duplicate lines detected \u2014 consider DRY refactoring

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 linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.3h
Tech Debt (D)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (17)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
Unknown
License
3.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
49.3%
javascript
20.9%
html
19.6%
css
10.0%
text
0.2%

Frameworks

FastAPI

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_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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