Structura is a CLI tool that automates folder structure generation and dependency management for Python projects. It supports multiple architectures (MVC, MVCS, Hexagonal) and frameworks (Flask, FastAPI), using YAML configuration for flexibility.
Automated Folder Structure & Dependency Management for Python Projects
Structura is a powerful project scaffolding tool designed to automate the creation of consistent and standardized folder structures for Python projects. It supports multiple frameworks and architectures, making it easy to initialize production-ready projects with just a few commands.
Whether you're building a Flask or FastAPI project, Structura handles:
venv, pipenv, and poetryYou can install Structura using pip:
pip install structura-py
Create a new Python project with the desired architecture:
structura init myproject --framework flask
For FastAPI:
structura init myproject --framework fastapi
If you already have a project, you can simply generate the structure:
structura init
When you run structura-py init, it generates the following folder structure based on the chosen architecture (e.g., MVC):
/myproject
├── app
│ ├── __init__.py
│ ├── models
│ │ └── user.py
│ ├── services
│ │ └── user_service.py
│ ├── controllers
│ │ └── user_controller.py
│ ├── routes
│ │ └── user_routes.py
├── config
│ ├── settings.py
│ └── config.yaml
├── tests
│ ├── test_user.py
├── requirements.txt
├── .env
├── README.md
└── main.py
Architecture Variations:
MVC: models, services, controllers, routesMVCS: Adds services layer for business logic separationHexagonal: Adds adapters and ports folders for dependency inversionWe welcome contributions! To contribute:
Structura is licensed under the MIT License. Feel free to use, modify, and distribute it.
If you encounter any issues or have suggestions, feel free to open an issue on GitHub.
FAQs
Structura is a CLI tool that automates folder structure generation and dependency management for Python projects. It supports multiple architectures (MVC, MVCS, Hexagonal) and frameworks (Flask, FastAPI), using YAML configuration for flexibility.
We found that structura-py demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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