Welcome to the Naas Site repository! This repository serves as a central hub for Naas (Notebooks as a Service), containing the landing page, documentation, and blog posts. Naas is a powerful tool that allows you to create, share, and collaborate on Jupyter Notebooks seamlessly for data & AI product building.
Naas is an innovative platform that simplifies the use of Jupyter Notebooks, enabling users to focus on data analysis and collaboration. It provides a user-friendly web-based interface to create, run, and share notebooks effortlessly. With Naas, you can easily integrate and automate data pipelines, leverage cloud computing resources, and enhance collaboration among team members and build powerful data & AI products.
The site repository is structured as follows:
src/
: Contains the Naas landing page code and assets.docs/
: Contains the Naas documentation.blog/
: Contains blog posts related to Naas.
To get started with Naas, follow these steps:
- Visit the Naas landing page for an overview of the platform and its features.
- Refer to the documentation for detailed instructions on installing and using Naas.
- Explore the blog to find insightful articles and tutorials that showcase Naas in action.
The Naas documentation provides comprehensive information on how to install, configure, and utilize the platform effectively. It covers a wide range of topics, including:
- Get Started
- Core Components
- Platform
- Solutions
- Tutorials & Examples
- Troubleshooting
- Contributing
- Release Notes and more
The documentation is located in the docs directory of this repository.
The Naas blog is a collection of articles and tutorials that dive deeper into specific aspects of the platform. It offers insights, tips, and best practices for using Naas effectively. Whether you are a beginner or an experienced user, the blog provides valuable resources to enhance your productivity and understanding.
You can find the blog posts in the blog directory of this repository.
We welcome contributions from the community to help improve Naas. If you have any bug fixes, feature enhancements, or suggestions, please submit them as issues or pull requests in this repository. To learn more about contributing, please refer to the contribution guidelines.
This repository is licensed under the MIT License.
If you have any questions, feedback, or suggestions regarding Naas, feel free to reach out to us. You can contact our team at jeremy@naas.ai
.
We hope you find Naas useful and enjoy using it for your data & AI product building and collaboration needs!
Happy Notebooking!