OmniSci Enterprise Edition comes with a fully integrated version of JupyterHub. This provides a secure, multi-user notebook environment for data exploration with OmniSci, and is the primary user interface for the OmniSci Data Science Foundation.
You can quickly switch from visual data exploration, to a Data Science environment preloaded with useful open source libraries and tools that work with OmniSci transparently.
You can access JupyterLab, the next generation Jupyter notebook UI from within Immerse via a button located on the dashboard title
In addition, you can also launch JupyterLab from SQL Editor. In this case, a notebook is opened up with the query wrapped in an Ibis expression.
OmniSci Enterprise allows you to control which users have access to JupyterLab and Data Science tools. This is managed as a separate privilege under the OmniSci role-based permissions model. Refer to the installation instructions for how to set this up for specific users
If you are an OmniSci open source edition user, you do not have access to Immerse, but you can still explore OmniSci with the Data Science Foundation tools.
Using JupyterLab with OmniSci Open Source Edition requires you to connect to OmniSci explicitly from within a Jupyter notebook cell, using Ibis or pymapd connection syntax. Refer to the Ibis or pymapd examples for more details.
Using the Anaconda Package Manager
If you are using the Anaconda package manager, you can install the set of Python tools for OmniSci:
conda install -c conda-forge omnisci-pytools
Using the OmniSci Docker Container for Jupyter tools
You can download a prebuilt Docker container and simply start up these tools as a standalone container.
Tools and Utilities
OmniSci provides a collection utilities to work with JupyterLab.
This is a collection of useful functions and Jupyter cell magics that allows running commands that are typically possible from omnisql from inside a notebook environment.