For vendors
AdvertiseTop spots, featured rows, home sponsor Get listedAdd a product we don't cover yet Claim a listingFree: verify the domain, then correct your page Vendor dashboardNumbers, orders and placements
Mobile US PressList your app
Vendor dashboard

ML Workspace

No phone app

4.9No. 20 of 20
in Data Science Platforms
  • Recognised40% of the score5
  • Phone app26% of the score0
  • Documented20% of the score47
  • Free plan14% of the score30
Free plan
No
Runs on
Linux, Mac, self-hosted, Web, Windows
Visit site Alternatives

Summary

ML Workspace is ranked #20 of 20 in data science platforms on Samsung Mobile US Press. It runs on Linux, macOS, Self-hosted, Web, Windows.

Compared on data science platforms

Free plan
Yesmltooling.org
Hosted notebooks
Yesmltooling.org
Deployment options
self_hostedmltooling.org
Version control
Yesmltooling.org
Supported languages
Python; R (R flavor); Scala, Go, and others via additional kernelsmltooling.org

Facts

Product
ML Workspace is a self-deployed, web-based IDE for machine learning and data science.github.com · 5 Oct 2026
Development tools
It includes browser-based Jupyter, JupyterLab, Visual Studio Code, and a Linux desktop GUI.github.com · 5 Oct 2026
ML libraries
The main image comes preinstalled with data science libraries including TensorFlow, PyTorch, Keras, and scikit-learn.github.com · 5 Oct 2026
Git
It includes Git tools such as a Jupyter extension for pushing notebooks, the Ungit web client, Jupytext, and nbdime.github.com · 5 Oct 2026
Monitoring
It provides TensorBoard for training monitoring and Netdata and Glances for hardware monitoring.github.com · 5 Oct 2026
Remote development
It can serve as a remote runtime for Jupyter, VS Code, PyCharm, Colab, and Atom Hydrogen, typically through passwordless SSH.github.com · 5 Oct 2026
Deployment
The project provides Docker images and says they can be deployed on Mac, Linux, and Windows; Docker is required.github.com · 5 Oct 2026
Security
The documentation describes token or basic authentication options and configurable SSL/HTTPS support.github.com · 5 Oct 2026
Security checks
The maintainers say each minor release receives vulnerability and virus checks using Safety, ClamAV, Trivy, and Snyk via Docker Scan.github.com · 5 Oct 2026
Resource requirements
The documentation says the workspace needs at least 2 CPUs and 500 MB of memory to run stably and be usable.github.com · 5 Oct 2026
User model
The workspace is designed as a single-user development environment; the maintainers recommend ML Hub for multi-user deployments.github.com · 5 Oct 2026
Support
The maintainers say they cannot provide individual support by email and direct users to public support channels; the page lists [email protected] for other requests.github.com · 5 Oct 2026

Best ML Workspace alternatives

See all 19
KNIME Analytics Platform No. 1 8.0 No phone appFreeAlibaba Cloud Machine Learning Platform for AI No. 2 7.3 No phone app$0.06/moJupyterLab No. 3 7.2 No phone appFreeGoogle Colab No. 4 7.1 No phone appFreeDatalore No. 5 7.0 No phone appFreeHex No. 6 6.9 No phone app$36/mo

Where it ranks on Samsung Mobile US Press

Is ML Workspace yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote ML Workspace

Sources