datarootsio/ml-skeleton-py
📦 Open Source Projectdatarootsio
A production-ready Python project template designed for scalable, best-practice machine learning development.
The ml-skeleton-py repository serves as a comprehensive boilerplate for modern machine learning projects. It addresses common pain points in ML development, such as inconsistent project structures, lack of testing, and environment management issues. The template includes a well-defined directory structure that separates data, source code, notebooks, and configuration files, ensuring maintainability as projects grow in complexity.
Key technical features include built-in Docker and Docker-Compose support for consistent environment deployment, integrated unit testing structures to ensure code reliability, and standardized linting configurations. It also emphasizes modularity, allowing developers to easily swap components or scale their pipelines. By enforcing a 'best-practices first' approach, this skeleton helps teams adopt professional software engineering standards within the data science lifecycle, reducing technical debt and improving collaboration across ML teams.
💡Highlights
- ├─Docker & Compose pre-configured
- ├─Standardized project structure
- └─Integrated unit testing setup
🎯For
- ├─Machine Learning Engineers
- ├─Data Scientists
- └─MLOps Practitioners