Using HEAVY.AI with JupyterLab
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Last updated
Last updated
HEAVY.AI Enterprise Edition comes with a fully integrated version of . This provides a secure, multi-user notebook environment for data exploration with OmniSci, and is the primary user interface for the HEAVY.AI 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 , 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.
HEAVY.AI provides a collection utilities to work with JupyterLab.
HEAVY.AI Enterprise allows you to control which users have access to JupyterLab and Data Science tools. This is managed as a separate privilege under the HEAVY.AI role-based permissions model. Refer to the instructions for how to set this up for specific users
Using JupyterLab with HEAVY.AI Open Source Edition requires you to connect to HEAVY.AI explicitly from within a Jupyter notebook cell, using or connection syntax. Refer to the or pyomnisci examples for more details.
This is a collection of useful functions and Jupyter cell magics that allows running commands that are typically possible from from inside a notebook environment.
