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Last Commit
Feb. 21, 2018
May. 28, 2016

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Fabrik is an online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface. It allows researchers to collaboratively develop and debug models using a web GUI that supports importing, editing and exporting networks written in widely popular frameworks like Caffe, Keras, and TensorFlow.

This app is presently under active development and we welcome contributions. Please check out our issues thread to find things to work on, or ping us on Gitter.

How to setup

  1. First set up a virtualenv

    sudo apt-get install python-pip python-dev python-virtualenv 
    virtualenv --system-site-packages ~/Fabrik
    source ~/Fabrik/bin/activate
  2. Clone the repository

    git clone --recursive
  3. If you have Caffe, Keras and Tensorflow already installed on your computer, skip this step

    • For Linux users
      cd Fabrik/requirements
      yes Y | sh
      Open your ~/.bashrc file and append this line at the end
      export PYTHONPATH=~/caffe/caffe/python:$PYTHONPATH
      Save, exit and then run
      source ~/.bash_profile
      cd .. 
    • For Mac users
  4. Install dependencies

  • For developers:
    pip install -r requirements/dev.txt
  • Others:
    pip install -r requirements/common.txt
  1. Install postgres >= 9.5
  • Setup postgres database

    • Start postgresql by typing sudo service postgresql start
    • Now login as user postgres by running sudo -u postgres psql and type the commands below
      CREATE DATABASE fabrik;
      CREATE USER admin WITH PASSWORD 'fabrik';
      ALTER ROLE admin SET client_encoding TO 'utf8';
      ALTER ROLE admin SET default_transaction_isolation TO 'read committed';
      ALTER ROLE admin SET timezone TO 'UTC';
    • Exit psql by typing in \q and hitting enter.
  • Migrate

    python makemigrations caffe_app
    python migrate
  1. Install node modules
npm install
sudo npm install -g webpack
webpack --progress --watch --colors


KERAS_BACKEND=theano python runserver


  • Use example/tensorflow/GoogleNet.pbtxt for tensorflow import
  • Use example/caffe/GoogleNet.prototxt for caffe import
  • Use example/keras/vgg16.json for keras import



This software is licensed under GNU GPLv3. Please see the included License file. All external libraries, if modified, will be mentioned below explicitly.