# Cloud-CV/Fabrik

:factory: Collaboratively build, visualize, and design neural nets in browser

Repository: https://github.com/Cloud-CV/Fabrik
Canonical: https://ross.abutalabs.com/products/fabrik
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: neural-network, visualization, ide, caffe, keras, tensorflow
Last push: 2020-12-13T06:18:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3749, "days_push": 2089, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1132, forks 237 (observed 2026-08-28T04:03:42.646377+00:00)

## What it is
Fabrik is a web-based collaborative IDE for building, visualizing, and designing neural networks via a drag-and-drop interface. It supports importing, editing, and exporting models across popular deep learning frameworks such as Caffe, Keras, and TensorFlow.

## Use cases
- visually design a neural network architecture in the browser
- convert a model between Caffe, Keras, and TensorFlow
- collaboratively debug and edit deep learning models with a team
- import an existing model file and inspect its layers
- teach deep learning concepts with a drag-and-drop GUI
- export a designed network to a framework-specific format

## When to choose
- you want a visual, no-code way to design neural network architectures
- you need to convert model definitions between Caffe, Keras, and TensorFlow
- you want a collaborative web GUI for building and debugging models
- you prefer self-hosting via Docker

## When to avoid
- you need programmatic model building or training pipelines in code
- you require support for modern frameworks like PyTorch or JAX
- you need a actively maintained tool with recent updates and support
- you need large-scale distributed training capabilities

## Facets
- artifact type: application
- maturity: maintenance
- function: machine-learning, deep-learning, data-visualization, gui
- domain: deep-learning, machine-learning, web-development, developer-tools
- platform: python, browser
- tags: neural-network-ide, drag-and-drop, caffe, keras, tensorflow, collaborative, model-visualization, web-server, docker

## Member repositories
- Cloud-CV/Fabrik (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.646377+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 2026-08-30T06:37:55.185269+00:00, confidence not recorded.
  - readme: https://github.com/Cloud-CV/Fabrik (fetched 2026-08-28T04:03:42.646377+00:00, sha c48c6023eba2)
- Data as of 2026-08-30T08:39:29.467469+00:00.