Academicops
C+ 71 completedPipeline State
completedPipeline Metadata
AI Prompt
Catalog Information
The Academic Operations Framework is a tool for academics to manage their research and teaching tasks.
Description
This project provides an integrated framework for managing academic operations, including task management, data analysis, and visualization. It aims to streamline the workflow of researchers and educators by automating repetitive tasks and providing insights into their work. The framework is built using Python and leverages various libraries such as Streamlit, Matplotlib, and Scipy.
الوصف
هذا المشروع يقدم إطارًا متكاملًا لمراقبة العمليات الأكاديمية، بما في ذلك إدارة المهام، وتحليل البيانات، وتمثيلها. يهدف إلى تسهيل تدفق العمل للمبحوثين والمتعلمين عن طريق automation مهام التكرارية وتقديم نظرة عامة على عملهم. تم بناء الإطار باستخدام لغة البرمجة Python و يستفيد من مجموعة من المكتبات مثل Streamlit، Matplotlib، و Scipy.
Novelty
5/10Tags
Technologies
Claude Models
Quality Score
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (182% test-to-source ratio)
- Code linting configured (ruff (possible))
- Properly licensed project
Weaknesses
- Potential hardcoded secrets in 2 files
- 3892 duplicate lines detected \u2014 consider DRY refactoring
- 19 'god files' with >500 LOC need decomposition
Recommendations
- Move hardcoded secrets to environment variables or a secrets manager
- Address 87 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
Languages
Frameworks
Concepts (2)
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| auto_description | Project Description | A constitutional framework for governing autonomous AI agents with: | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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