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Jupyter Notebooks-as-a-service

All-in-one open source data platform, based on @jupyter

👋 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 products 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 in minutes, and are the building blocks of data products
  • 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

Try Naas for free using -- Naas cloud -- a stable environment, in your browser.

❤️ 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 contributing guidelines on how to get started.

🤔 Community Support

The naas documentation is a great place to start and to get answers for general questions.


  1. Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.

    Jupyter Notebook 1.9k 312

  2. drivers Public

    🏎 The python library enabling access to tools and data sources in minutes, with Naas low-code formulas.

    Python 45 11

  3. naas Public

    ⚙️ Schedule notebooks, run them like APIs, expose securely your assets: Jupyter as a viable ⚡️ Production environment

    Python 236 24


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