xircuits 1.8.1

A JupyterLab extension for rendering and editing xircuit files.

Docs • Install • Tutorials • Developer Guides • Contribute • Blog • Discord
Component Libraries • Project Templates

Xircuits is a Jupyterlab-based extension that enables visual, low-code, training workflows. It allows anyone to easily create executable python code in seconds.

Features

Rich Xircuits Canvas Interface

Unreal Engine-like Chain Component Interface

Custom Nodes and Ports

Smart Link and Type Check Logic

Component Tooltips

Code Generation

Xircuits generates executable python scripts from the canvas. As they're very customizable, you can perform DevOps automation like actions. Consider this Xircuits template which trains an mnist classifier.

You can run the code generated python script in Xircuits, but you can also take the same script to train 3 types of models in one go using bash script:

TrainModel.py --epoch 5 --model "resnet50"
TrainModel.py --epoch 5 --model "vgg16"
TrainModel.py --epoch 5 --model "mobilenet"

Famous Python Library Support

Xircuits is built on top of the shoulders of giants. Perform ML and DL using Tensorflow or Pytorch, accelerate your big data processing via Spark, or perform autoML using Pycaret. We're constantly updating our Xircuits library, so stay tuned for more!

Didn't find what you're looking for? Creating Xircuits components is very easy! If it's in python - it can be made into a component. Your creativity is the limit, create components that are easily extendable!

Effortless Collaboration

Created a cool Xircuits workflow? Just pass the .xircuits file to your fellow data scientist, they will be able to load your Xircuits canvas instantly.

Created a cool component library? All your colleagues need to do is to drop your component library folder in theirs and they can immediately use your components.

And many more.

Installation

You will need python 3.8+ to install Xircuits. We recommend installing in a virtual environment.

$ pip install xircuits

You will also need to install the component library before using them. For example, if you would like to use the Pytorch components, install them by:

$ pip install xircuits[pytorch]

For the list of available libraries, you can check here.

Download Examples

$ xircuits-examples

Launch

$ xircuits

Development

Creating workflows and components in Xircuits is easy. We've provided extensive guides for you in our documentation. Here are a few quick links to get you started:

• Tutorials: Your First Xircuits Worflow | Running a Xircuits Project Template
• Component Development: Creating a Xircuits Component | Creating a Xircuits Component Library
• Advanced: Xircuits Core Development

Use Cases

GPT Agent Toolkit | BabyAGI

Discord Bots

PySpark

AutoML

Anomaly Detection

NLP

Developers Discord

Have any questions? Feel free to chat with the devs at our Discord!