Skip to main content

A JupyterLab extension for rendering and editing xircuit files.

Project description

DocsInstallTutorialsDeveloper GuidesContributeBlogDiscord
Component LibrariesProject TemplatesEnterprise

GitHub GitHub release Binder Documentation Python

1_13 release

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.

hyperpara-codegen

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!

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:

$ xircuits install 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:

Use Cases

GPT Agent Toolkit | BabyAGI

BabyAGI demo

Discord Bots

DiscordCVBot

PySpark

spark submit

AutoML

automl

Anomaly Detection

anomaly-detection

Developers Discord

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

Enterprise Support

For organizations looking to scale their Xircuits deployments or requiring additional features and support - the XpressAI Platform offers enhanced capabilities and dedicated support to transform your workflows into robust, production-ready applications. It's ideal for teams and enterprises seeking to maximize the potential of their Xircuits projects.

Ready to take your Xircuits experience to the next level? Sign up for the XpressAI Platform here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xircuits-1.14.1.tar.gz (3.0 MB view details)

Uploaded Source

Built Distribution

xircuits-1.14.1-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file xircuits-1.14.1.tar.gz.

File metadata

  • Download URL: xircuits-1.14.1.tar.gz
  • Upload date:
  • Size: 3.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for xircuits-1.14.1.tar.gz
Algorithm Hash digest
SHA256 ef57fa98253b9ffc7165ab13635580e2dff041eee1501975a1dab4a1531ceae2
MD5 ae158303a9c1a95e3c7e1195adec9ebd
BLAKE2b-256 9710be0be5fb6d663d4cfc97ec93245500ae8fe9dc139826342dd62acff21269

See more details on using hashes here.

File details

Details for the file xircuits-1.14.1-py3-none-any.whl.

File metadata

  • Download URL: xircuits-1.14.1-py3-none-any.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for xircuits-1.14.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f0060fa7776a55b8da7764750cabc08c79aafdd01c5609f804f24d7892225696
MD5 68b210974d287434e96fd02cb41b89ca
BLAKE2b-256 5efb4101e5fce5bb4e73e6c913e40ba00bd2707eedde06748cdd7449a2153d24

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page