ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2655
- days_rel: n/a
- days_push: 768
- n_releases_24m: 0
Adoption not part of the score
3544 stars · 458 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
ML Workspace is an all-in-one web-based IDE Docker image specialized for machine learning and data science. It bundles Jupyter, JupyterLab, VS Code, a Linux desktop GUI, and popular data science libraries (TensorFlow, PyTorch, scikit-learn) into a single deployable container.
Use cases
- spin up a preconfigured jupyter environment for machine learning
- run a remote jupyter kernel or vscode server over ssh
- access a full linux desktop with data science tools from a browser
- train pytorch or tensorflow models with gpu support in docker
- set up a reproducible data science workspace on kubernetes
- monitor training runs with tensorboard and netdata
When to choose
- you want a batteries-included ML development environment deployable in minutes via Docker
- you need browser-based access to Jupyter, VS Code, and a Linux desktop from one port
- you want preinstalled data science libraries without local setup hassle
When to avoid
- you need a lightweight minimal image or custom toolchain
- you require actively developed features - the project's latest release is mid-2024 and appears in maintenance
- you prefer native local IDEs over containerized web-based environments
Facets
application · maturity maintenance
developer-tools data-science machine-learning deep-learning data-visualization nlp machine-learning data-science developer-tools deep-learning windows self-hosted jupyter vscode web-ide tensorflow pytorch gpu remote-kernel ssh vnc anaconda docker linux macos web-server kubernetes
2 sources
- readme: https://github.com/ml-tooling/ml-workspace · fetched 2026-08-28 · e55d7b6faeb0
- homepage: https://mltooling.org/ml-workspace · fetched 2026-08-29 · 6972880bd0d2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ml-tooling/ml-workspace | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="ml-tooling/ml-workspace")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem