Domino Data Lab
5.6#18 in data science platformsWebAPISelf-hosted
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| Fact | Domino Data Lab | JupyterLab |
|---|---|---|
| Deployment | Domino supports deployment of apps such as Streamlit, Dash, and Shiny, which can scale with user demand and use discovery and approval workflows. | JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux. |
| Founded | 2013 | 2014 |
| Purpose | Domino’s Enterprise AI Platform brings together model development, MLOps, collaboration, and governance for enterprises building and operating AI at scale. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
| Security | The security page describes single-tenant isolation, secure development practices, vulnerability scanning, third-party penetration tests, and SIEM-integrated monitoring. | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. |
It is aimed at large enterprises, regulated organizations, and teams running mission-critical AI work. It suits groups needing governed development, deployment, multicloud access, and model oversight.
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.