| Name | flottille JSON |
| Version |
0.0.0
JSON |
| download |
| home_page | None |
| Summary | Flottille is a Python library designed to simplify the development and production deployment of data science and machine learning models |
| upload_time | 2024-10-29 18:14:51 |
| maintainer | None |
| docs_url | None |
| author | Chris |
| requires_python | <4.0,>=3.12 |
| license | MIT |
| keywords |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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No Travis.
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| coveralls test coverage |
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# 🚀 Flottille
[](https://codecov.io/gh/goabonga/flottille)
**Flottille** is a Python library designed to simplify the development and production deployment of data science and machine learning models. By providing streamlined interfaces and tools, **Flottille** helps you sail through your ML projects with ease! ⛵
## 🎯 Features
- 📦 **Model Development**: Simplify your machine learning model building process with pre-configured templates and utilities.
- ⚙️ **Production Ready**: Deploy your models effortlessly with built-in production tools for scaling and optimization.
- 🚀 **End-to-End Pipeline**: Handle everything from data ingestion to model serving with a unified and flexible interface.
- 📊 **Evaluation & Monitoring**: Track performance metrics and monitor your models in production with ease.
- 🧑💻 **Extensibility**: Easily extend and customize Flottille to fit your unique data science needs.
## 📚 Getting Started
1. **Installation**:
You can install **Flottille** via pip:
```bash
pip install flottille
```
2. **Basic Usage**:
Here’s how you can quickly get started with **Flottille** to train and deploy a machine learning model:
```python
```
3. **Documentation**:
For detailed documentation, tutorials, and advanced usage, visit our [Docs 📖](#).
## 🎉 Why Choose Flottille?
- 🛠️ **Developer-Friendly**: Designed with simplicity and productivity in mind, allowing developers to focus on building models rather than infrastructure.
- 🔄 **End-to-End Workflows**: From data preprocessing to model deployment, everything is built in one cohesive system.
- ⚡ **Performance-Oriented**: Optimized for handling real-world production workloads with scaling and monitoring features out of the box.
- 🎛️ **Customizable Pipelines**: Fully customizable components to adapt to any use case, whether you're working on small experiments or enterprise-level models.
## 🤝 Contributing
We welcome contributions from the community! Whether it's bug reports, feature requests, or pull requests, feel free to join the **Flottille** community. 🌍
1. Fork the repo
2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a pull request
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## ✨ Acknowledgements
Thanks to all the developers and contributors who make **Flottille** possible. Let's sail smoothly in the sea of data science together! ⚓
---
Enjoy sailing with **Flottille**! 🌊
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