# MrNothing/AI-Blocks

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Repository: https://github.com/MrNothing/AI-Blocks
Canonical: https://ross.abutalabs.com/products/ai-blocks
Homepage: https://mrnothing.github.io/AI-Blocks/index.html
Language: JavaScript
License: NOASSERTION
License Family: other
Topics: ai-blocs, tensorflow, python, machine-learning, wysiwyg, deep-learning, artificial-intelligence, neural-networks, modular
Last push: 2023-04-19T07:39:35+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3243, "days_push": 1232, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1857, forks 216 (observed 2026-08-28T04:05:45.035152+00:00)

## What it is
AI-Blocks is a WYSIWYG desktop application for visually building machine learning models by dragging objects with attached scripts in a scene editor. Models can be run directly in the editor or exported as standalone TensorFlow Python scripts.

## Use cases
- build machine learning models without coding
- visually design neural networks with drag and drop
- export tensorflow models from a visual editor
- teach machine learning to beginners
- prototype deep learning models quickly

## When to choose
- you want a no-code/low-code visual interface for building ML models
- you are a beginner learning machine learning concepts
- you want to generate TensorFlow Python scripts from a visual design

## When to avoid
- you need a fully supported, actively developed tool
- you require fine-grained programmatic control over model architecture
- you need a permissive open-source license (it uses CC BY-NC)
- you work on Linux or macOS (releases target Windows)

## Facets
- artifact type: application
- maturity: maintenance
- function: machine-learning, gui, editor, llm-training
- domain: machine-learning, deep-learning, artificial-intelligence, developer-tools
- platform: windows, python
- tags: wysiwyg, visual-programming, tensorflow, no-code, neural-networks, drag-and-drop, desktop, nodejs

## Member repositories
- MrNothing/AI-Blocks (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:45.035152+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:16:14.568706+00:00, confidence not recorded.
  - readme: https://github.com/MrNothing/AI-Blocks (fetched 2026-08-28T04:05:45.035152+00:00, sha 18f09a227d3a)
  - homepage: https://mrnothing.github.io/AI-Blocks/index.html (fetched 2026-08-29T10:55:26.733299+00:00, sha 44031b21027f)
- Data as of 2026-08-30T08:39:29.467469+00:00.