These Docs will help you get started with Naas quickly, guide you through advanced features, and explain the core concepts that make Naas unique.
This documentation is in beta. It may change frequently. To propose changes or enhancements, please create a GitHub Issue.
Welcome to Naas!
Notebooks as a service (Naas) is an open source platform that allows anyone touching data (analysts, scientists and engineers) to create powerful data solutions combining automation, analytics and AI from the comfort of their Jupyter notebooks.
Naas is an alternative to Google Colab, with superpowers.
The platform upgrades notebooks with 3 low-code layers to get things done faster: features, drivers, and templates.
βTemplates enable the user to create automated data jobs and reports in minutes.
βDrivers act as connectors to push and/or pull data from databases, APIs, Machine Learning algorithms, and more.
βFeatures transform Jupyter in a production-ready environment with scheduling, asset sharing, and notifications.
Naas Cloud
Naas cloud is the fastest and easiest way to get you started!
Try all of Naas's features for free using Naas cloud a stable environment, without having to install anything.
How to use Naas Cloud?
Start with templates
The easiest way to go is simply to find the right template for you.
Naas creates a dynamic production environment for your Notebooks. Each time you run the following formulas in a notebook, it will be sent into the "β‘οΈ β Production" folder" for execution.
To get started, create a folder, open a notebook, and import Naas :
import naas
Schedule your notebook
Send in production this notebook and run it, every day at 9:00
If at any time you are lost, you need help, or just want some info!
import naas
β
naas.open_help()
That will open a chat box with us
Close help chat
import naas
β
naas.close_help()
Documentation
Show a button to quickly open this documentation from Jupyter
import naas
naas.doc()
Contributing
We value all kinds of contributions - not just code. We are particularly motivated to support new contributors and people who are looking to learn and develop their skills.