Quickly spin up Jupyter notebooks in the cloud and scale them according to your needs
Deploy, manage, and scale the PyData stack using Jupyter Notebooks in the cloud
Run your Jupyter Notebook on a VM inside AWS, Azure, or GCP without you having to know how to appropriately set up and use these services.
Specify a conda environment, requirements.txt, or docker image in order to standardize environments across all teammates
1-Click Notebook Sharing
Share your Juypter Notebooks with the public or teammates using links, eliminating the need to understand how to work with GitHub for basic data science projects.
Deploy a Spark or Dask cluster with just one click, simplifying issues dealing with very expensive computations.
Automated Version Control
Automated version control obviating potential issues arising from teammates not committing their newest versions.