# Using HEAVY.AI with JupyterLab

<Tabs>
  <Tab title="HEAVY.AI Enterprise Edition">
    HEAVY.AI Enterprise Edition comes with a fully integrated version of [JupyterHub](https://jupyter.org/hub). 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 [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/), the next generation Jupyter notebook UI from within Immerse via a button located on the dashboard title

    ![](https://files.buildwithfern.com/heavyai.docs.buildwithfern.com/heavyai/7c4afa10fb33a583a26c8401e2f28469d41fc4b538af79659346f5c4ca6eb716/docs/assets/7_datasci-jupyter-1.png)

    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.

    ![](https://files.buildwithfern.com/heavyai.docs.buildwithfern.com/heavyai/010dcc4e09589f6b97ea22ce9847b65804a068a34ccd6092afafe51d6cf57431/docs/assets/7_datasci-usingomnici-2-3-3-3-3-3-4-4-4-2.png)

    <Info>
      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 [installation](/python-data-science/get-started-jupyter) instructions for how to set this up for specific users
    </Info>
  </Tab>

  <Tab title="HEAVY.AI Open Source Edition">
    If you are an HEAVY.AI open source edition user, you do not have access to HeavyImmerse, but you can still explore HEAVY.AI with the Data Science Foundation tools.

    <Info>
      Using JupyterLab with HEAVY.AI Open Source Edition requires you to connect to HEAVY.AI explicitly from within a Jupyter notebook cell, using [Ibis](/python-data-science/introduction-to-ibis) or [py](https://github.com/omnisci/docs-internal/tree/7ca9a3f8fbca75498ccfec3bba1ada3eb88f2fe4/apis-and-interfaces/pyomnisci.md)[mapd](https://github.com/omnisci/docs-internal/tree/7ca9a3f8fbca75498ccfec3bba1ada3eb88f2fe4/apis-and-interfaces/pyomnisci.md) connection syntax. Refer to the [Ibis](/python-data-science/introduction-to-ibis) or pyomnisci examples for more details.
    </Info>

    #### Using the Anaconda Package Manager

    If you are using the Anaconda package manager, you can install the set of Python tools for HEAVY.AI:

    ```
    conda install -c conda-forge omnisci-pytools
    ```

    #### Using the HEAVY.AI Docker Container for Jupyter tools

    You can download a prebuilt Docker container and simply start up these tools as a standalone container.
  </Tab>
</Tabs>

## Tools and Utilities

HEAVY.AI 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 [heavysql](/apis-and-interfaces/heavysql) from inside a notebook environment.