Hexagon-ML
5.6#19 in data science platformsWeb
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| Fact | Hexagon-ML | JupyterLab |
|---|---|---|
| Deployment | The site describes scalable Docker-based solutions and Active Directory integration. | JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux. |
| Security | A company job description says Hexagon-ML aims to provide enterprise-level security and consumer-level flexibility; it does not specify a certification or compliance standard there. | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. |
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It suits consumer, research, and enterprise clients developing, governing, deploying, or evaluating models. Organizations running data science competitions may also find its competition platform relevant.
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.