JupyterLab
7.7#1 in notebook softwareFree planFree planWebAPILinuxmacOS
VisitJupyterLab vs ML Workspace
ML Workspace
6.7#11 in data science platformsFree planFree planWebLinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | JupyterLab | ML Workspace |
|---|---|---|
| Deployment | JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux. | The project provides Docker images and says they can be deployed on Mac, Linux, and Windows; Docker is required. |
| Purpose | JupyterLab is a web-based interactive development environment for notebooks, code, and data. | ML Workspace is an all-in-one web-based IDE specialized for machine learning and data science. |
| Security | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. | The documentation describes token or basic authentication options and configurable SSL/HTTPS support. |
JupyterLab plans
- JupyterLabFree
ML Workspace plans
- ML WorkspaceFree
Pick JupyterLab if…
JupyterLab suits people working in interactive, exploratory computing, including data science, scientific computing, computational journalism, and machine learning. It is designed for users comfortable installing and managing software locally.
Pick ML Workspace if…
ML Workspace suits individual machine-learning and data-science developers who want browser-based IDEs and preinstalled libraries in a self-hosted environment. It is designed for a single user rather than a multi-user deployment.