https://github.com/robson240/multipass
MULTIPASS turns any Python library into a robust API with ease. Simply install the necessary packages and run a single command to start your API—it's that straightforward! 🐙✨
https://github.com/robson240/multipass
ansible-playbooks ansible-role authentication cloud container hacktoberfest http libvirt linux qemu-kvm two-factor ubuntu virtual-machine web-and-design workstation-management wsl wsl-ubuntu wsl2
Last synced: 7 months ago
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MULTIPASS turns any Python library into a robust API with ease. Simply install the necessary packages and run a single command to start your API—it's that straightforward! 🐙✨
- Host: GitHub
- URL: https://github.com/robson240/multipass
- Owner: robson240
- License: apache-2.0
- Created: 2025-06-14T14:22:13.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-06-14T18:58:25.000Z (10 months ago)
- Last Synced: 2025-06-14T20:09:10.024Z (10 months ago)
- Topics: ansible-playbooks, ansible-role, authentication, cloud, container, hacktoberfest, http, libvirt, linux, qemu-kvm, two-factor, ubuntu, virtual-machine, web-and-design, workstation-management, wsl, wsl-ubuntu, wsl2
- Language: Python
- Size: 35.2 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Multipass: Universal API Wrapper 🌐
Welcome to the **Multipass** repository! This project provides a universal API wrapper that allows you to turn any Python library into a robust API. Whether you are working with data processing, machine vision, or natural language processing, Multipass simplifies the integration of Python libraries into your applications.
[](https://github.com/robson240/multipass/releases)
## Table of Contents
1. [Features](#features)
2. [Installation](#installation)
3. [Usage](#usage)
4. [Key Concepts](#key-concepts)
5. [Contributing](#contributing)
6. [License](#license)
7. [Support](#support)
## Features
Multipass comes packed with a variety of features:
- **API Auto-Discovery**: Automatically discover and expose methods from any Python library.
- **Error Handling**: Built-in mechanisms to handle errors gracefully.
- **Health Check**: Monitor the health of your API endpoints.
- **Data Processing**: Seamlessly integrate with libraries like Pandas for data manipulation.
- **Machine Vision Support**: Use libraries like YOLO for image processing tasks.
- **Natural Language Processing**: Integrate with NLP libraries like Transformers.
- **Monitoring**: Keep track of API performance and usage.
## Installation
To install Multipass, you can use pip. Run the following command in your terminal:
```bash
pip install multipass
```
You can also download the latest release from the [Releases section](https://github.com/robson240/multipass/releases). After downloading, execute the setup file to install Multipass.
## Usage
Using Multipass is straightforward. Here’s a simple example:
```python
from multipass import Multipass
# Initialize the API wrapper
api = Multipass()
# Register a Python library
api.register_library('example_library')
# Call a method from the library
result = api.call('example_library.method_name', args)
print(result)
```
For more detailed usage instructions, please refer to the documentation in the `docs` folder.
## Key Concepts
### API Auto-Discovery
Multipass uses reflection to automatically discover methods from the registered libraries. This feature eliminates the need for manual configuration, allowing you to focus on your application logic.
### Error Handling
Multipass includes robust error handling. If a method call fails, the API returns meaningful error messages. This helps you diagnose issues quickly.
### Health Check
You can perform health checks on your API endpoints. This feature ensures that your API is responsive and functioning as expected.
### Data Processing
Multipass integrates with Pandas, making it easy to handle data frames and perform complex data manipulations.
### Machine Vision
With support for libraries like YOLO, you can easily incorporate machine vision capabilities into your applications.
### Natural Language Processing
Integrate NLP features using popular libraries like Transformers. Multipass simplifies the process of making complex NLP models accessible via an API.
## Contributing
We welcome contributions! To get started:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes.
4. Submit a pull request.
Please ensure that your code adheres to the existing style and includes tests where applicable.
## License
Multipass is licensed under the MIT License. See the `LICENSE` file for more information.
## Support
For any issues or questions, please check the [Releases section](https://github.com/robson240/multipass/releases) or open an issue in this repository.
Feel free to reach out for support or to share your experiences with Multipass. We appreciate your feedback and contributions!
## Additional Resources
- [Documentation](https://github.com/robson240/multipass/docs)
- [API Reference](https://github.com/robson240/multipass/api)
- [Examples](https://github.com/robson240/multipass/examples)
---
Thank you for checking out Multipass! We hope it makes your API development easier and more efficient.