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PySpring is a Python web framework inspired by Spring Boot, combining FastAPI, and Pydantic for building scalable web applications with auto dependency injection, configuration management, and a web server.
auto dependency injection
, auto configuration management
and a web server
for hosting your application.Application Initialization: PySpringApplication
class serves as the main entry point for the PySpring application. It initializes the application from a configuration file, scans the application source directory for Python files, and groups them into class files and model files.
Application Context Management: PySpring manages the application context and dependency injection. It registers application entities such as components, controllers, bean collections, and properties. It also initializes the application context and injects dependencies.
REST Controllers: PySpring supports RESTful API development using the RestController class. It allows you to define routes, handle HTTP requests, and register middlewares easily.
Component-based Architecture: PySpring encourages a component-based architecture, where components are reusable and modular building blocks of the application. Components can have their own lifecycle and can be registered and managed by the application context.
Properties Management: Properties classes provide a convenient way to manage application-specific configurations. PySpring supports loading properties from a properties file and injecting them into components.
Framework Modules: PySpring allows the integration of additional framework modules to extend the functionality of the application. Modules can provide additional routes, middlewares, or any other custom functionality required by the application.
Builtin FastAPI Integration: PySpring integrates with FastAPI
, a modern, fast (high-performance), web framework for building APIs with Python. It leverages FastAPI's features for routing, request handling, and server configuration.
PySpring/
├── src/ # Source code directory
├── tests/ # Test files
├── logs/ # Application logs
├── py_spring_core/ # Core framework package
├── app-config.json # Application configuration
├── application-properties.json # Application properties
├── main.py # Application entry point
├── pyproject.toml # Project metadata and dependencies
└── README.md # Project documentation
pip install py-spring-core
Create a new Python project and navigate to its directory
Set up your application:
app_src_target_dir
key in app-config.json
)app-config.json
file for your application configurationapplication-properties.json
file for your application propertiesCreate your main application script:
from py_spring_core import PySpringApplication
def main():
app = PySpringApplication("./app-config.json")
app.run()
if __name__ == "__main__":
main()
python main.py
For a complete example project, please refer to the PySpring Example Project.
git clone https://github.com/NFUChen/PySpring.git
cd PySpring
pip install -e ".[dev]"
pytest
PySpring relies on several key dependencies:
For a complete list of dependencies, see pyproject.toml
.
Contributions to PySpring are welcome! If you find any issues or have suggestions for improvements, please:
This project is licensed under the MIT License - see the LICENSE file for details.
FAQs
PySpring is a Python web framework inspired by Spring Boot, combining FastAPI, and Pydantic for building scalable web applications with auto dependency injection, configuration management, and a web server.
We found that py-spring-core 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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Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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