Skip to main content

Offload Jupyter notebooks from your laptop into the cloud

Project description

Welcome to Optumi 👋

Description

Optumi's JupyterLab extension provisions and manages ML environments in the cloud. Data scientists can seamlessly offload local notebooks as interactive sessions or batch jobs while software automatically cleans up infrastructure when no longer needed and makes it easy to keep track of spending.

Our goal is to help you spend more time developing models and less time on infrastructure.

Installation

Prerequisites:

  • Python 3.6 or later
  • JupyterLab 3

Install from PyPI:

pip install jupyterlab-optumi

Note: If you are running JupyterLab from an anaconda environment, you'll need to run the install command with that environment activated. You can do this by launching JupyterLab, selecting File -> New -> Terminal and running the install command there. If you do this, you will need to shut down and restart Jupyterlab before using the extension.

Note: If you already have the extension installed outside of an anaconda environment and want to reinstall it inside of an anaconda environment, you will need to add the -U flag to the pip install command.

Note: Safari browser is not supported.

Test the install by running jupyter lab extension list and jupyter server extension list. You should see jupyterlab_optumi in both outputs.

If you do not see jupyterlab_optumi in both outputs, run jupyter server extension enable jupyterlab_optumi --user and test the install again.

Start JupyterLab and you'll see in the left side bar.

Questions

If you have any questions, please reach out to the Optumi team. You can contact us by emailing cs@optumi.com or through our website www.optumi.com.

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyterlab-optumi-3.8.3.tar.gz (3.5 MB view hashes)

Uploaded source

Built Distribution

jupyterlab_optumi-3.8.3-py3-none-any.whl (6.4 MB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page