https://github.com/jupyter-naas/naas

Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)
https://github.com/jupyter-naas/naas

ai binder data data-science data-transformation engine etl integration jupyter jupyterlab notebooks open-source pipeline

Last synced: about 1 month ago
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Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)

• Host: GitHub
• URL: https://github.com/jupyter-naas/naas
• Owner: jupyter-naas
• License: agpl-3.0
• Created: 2020-09-20T17:09:00.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-03-19T10:06:56.000Z (9 months ago)
• Last Synced: 2024-04-14T17:40:53.644Z (8 months ago)
• Topics: ai, binder, data, data-science, data-transformation, engine, etl, integration, jupyter, jupyterlab, notebooks, open-source, pipeline
• Language: Python
• Homepage: https://app.naas.ai/
• Size: 2.42 MB
• Stars: 275
• Watchers: 4
• Forks: 25
• Open Issues: 49
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE
  • Security: SECURITY.md

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README

        


## :sparkles: Welcome to Naas!

Notebooks as a service (Naas) is an open source platform that allows anyone touching data (business analysts, scientists and engineers) to create powerful data engines combining automation, analytics and AI from the comfort of their Jupyter notebooks.

Naas is an attempt to propose an alternative to Google Colab, powered by the community.

In addition to Google Colab, Naas platform upgrade notebooks with with 3 low-code layers: features, drivers, templates.

- **Templates** enable the user to create automated data jobs and reports in minutes.

- **Drivers** act as connectors to push and/or pull data from databases, APIs, and Machine Learning algorithms and more.

- **Features** transform Jupyter in a production ready environment with scheduling, asset sharing, and notifications.

## 🚀 Quick Start

Try all of Naas's features for free using -- [Naas cloud](https://app.naas.ai/hub/login) -- a stable environment, without having to install anything.

    

## ⚙️ Installation

    

Check out our step by step guide on how to [set up Naas locally.](https://docs.naas.ai/install-locally#run-locally)

## ❤️ Contributing

We value all kinds of contributions - not just code. We are paticularly motivated to support new contributors and people who are looking to learn and develop their skills.

Please read our [contibuting guidelines](https://docs.naas.ai/contributing-to-naas) on how to get started.

## 🤔 Community Support

The naas [documentation](https://docs.naas.ai/) is a great place to start and to get answers for general questions.

- [Slack](https://join.slack.com/t/naas-club/shared_invite/zt-1970s5rie-dXXkigAdEJYc~LPdQIEaLA) (Live Discussions)

- [GitHub Issues](https://github.com/jupyter-naas/naas/issues/new) (Report Bugs)

- [GitHub Discussions](https://github.com/jupyter-naas/naas/discussions) (Questions, Feature Requests)

- [Twitter](https://twitter.com/JupyterNaas) (Latest News)

- [YouTube](https://www.youtube.com/c/naas-ai) (Video Tutorials)

- [Previous Community calls](https://naas-official.notion.site/3450f449df704f008c82004fd61f69ce?v=059be6a284e740e5b1013a57812a17f0) (Video call discussions with the naas team & other contributors.)

- [Naas's community page](https://www.notion.so/naas-official/Naas-Official-8150e2c35f9248049c48d3fe021b49bb) (To know more)

## :page_with_curl: License

The project is licensed under  [AGPL-3.0](https://opensource.org/licenses/AGPL-3.0)