google/visualblocks
Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations. observed · 2026-08-28
Health v2 · maintenance only
71/100
- Activity 90
- Release rhythm 35
- Longevity 89
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1253
- days_rel: n/a
- days_push: 64
- n_releases_24m: 0
Adoption not part of the score
1361 stars · 176 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Visual Blocks for ML is a Google visual programming framework that provides a no-code node graph editor for building ML pipelines from drag-and-drop components like models, inputs, processors, and visualizations. It ships as a JavaScript front-end library for embedding the editing experience, plus a Python package for use in Google Colaboratory notebooks.
Use cases
- build ML pipelines without writing code
- prototype AI workflows with a drag-and-drop node editor
- embed a visual ML pipeline editor in my web app
- connect ML models, camera inputs, and visualizations in a graph
- register notebook functions as nodes in a visual pipeline UI
- rapidly experiment with multimedia ML application pipelines
When to choose
- you want no-code/low-code visual prototyping of ML pipelines
- you need to embed a node graph editor in a web platform
- you work in Google Colab and want an interactive pipeline UI over notebook functions
- you are iterating on multimedia ML app ideas like camera or image pipelines
When to avoid
- you need production-grade, code-first ML orchestration with full programmatic control
- your pipelines require custom node types not supported by the library
- you need a backend-heavy workflow engine rather than a browser-based editor
Facets
framework · maturity active
machine-learning data-visualization frontend-framework ui-components workflow-automation machine-learning artificial-intelligence developer-tools data-science web-development browser python no-code visual-programming node-graph-editor ml-pipelines prototyping google angular colab web-server typescript
2 sources
- readme: https://github.com/google/visualblocks · fetched 2026-08-28 · c5516575e31a
- homepage: https://visualblocks.withgoogle.com · fetched 2026-08-29 · bcfd918e9726
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google/visualblocks | main | 71 |
For agents
markdown · JSON · MCP: product_card(name="google/visualblocks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem