Juniperlegacy
B+ 88 completed
Data Tool
containerized / markdown · small
232
Files
40,096
LOC
2
Frameworks
9
Languages
Pipeline State
completedRun ID
#369347Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
74.33Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:29Deduplication group #53100
Member of a group with 2 similar repo(s) — canonical #93553 view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
AI Prompt
Create a dataset generation and management service, similar to the Juniper Data project. I need it to be built using Python, featuring a FastAPI backend for serving datasets. The service must include endpoints to list available datasets, retrieve a specific dataset by ID, and generate new spiral datasets via a POST request. Also, please include functionality to run tests using pytest and structure the project to handle dataset generation and persistence.
python fastapi dataset generation api pytest juniper backend
Generated by gemma4:latest
Catalog Information
The juniper-data project is a dataset generation and management service designed for use within the Juniper ecosystem.
Description
This project provides a dataset generation and management service specifically tailored for the Juniper ecosystem. It enables efficient handling of datasets, making it easier to manage and utilize data within this environment. The service is built using Python and leverages various libraries such as FastAPI, NumPy, Pydantic, and Uvicorn.
الوصف
هذا المشروع يقدم خدمة إدارة وإنشاء البيانات بشكل خاص مصممة لبيئة جونيبر. يتيح هذا الخدمة التعامل الفعال مع البيانات، مما يجعل من السهل إدارتها وتسويقها داخل هذه البيئة. تم بناء الخدمة باستخدام لغة بايثون و تستفيد من مجموعة من المكتبات مثل FastAPI، NumPy، Pydantic، Uvicorn.
Novelty
5/10Tags
dataset-management data-generation ecosystem-integration data-utilization efficient-data-handling
Technologies
fastapi numpy pydantic uvicorn
Claude Models
claude-opus-4.6
Quality Score
B+
88.5/100
Structure
94
Code Quality
90
Documentation
84
Testing
85
Practices
83
Security
95
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (72% test-to-source ratio)
- Code linting configured (flake8, ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 400 duplicate lines detected \u2014 consider DRY refactoring
Security & Health
5.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
MIT
License
9.5%
Duplication
Languages
Frameworks
FastAPI pytest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| auto_description | Project Description | Dataset generation and management service for the Juniper ecosystem. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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