Package Health Score

75 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Sustainable

Explore Similar Packages

Popularity

Small

GitHub Stars: 93
Forks: 11
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package xircuits, we found that it has been starred 93 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 4, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like xircuits is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 1
Open PR: 5
Last Release: 10 days ago
Last Commit: 10 days ago

Further analysis of the maintenance status of xircuits based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that xircuits demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the xircuits repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like xircuits is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 3 years
Latest Release: 10 days ago
Dependencies: 6 Direct
Versions: 37
Maintainers: 1
Wheels: OS Independent

Readme

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

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:

Tutorials: Your First Xircuits Workflow | 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

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.

xircuits dependencies

gitpython importlib-resources pygithub requests toml tqdm

FAQs

What is xircuits?

A JupyterLab extension for rendering and editing xircuit files. Visit Snyk Advisor to see a full health score report for xircuits, including popularity, security, maintenance & community analysis.

Is xircuits popular?

The python package xircuits receives a total of 3,199 weekly downloads. As such, xircuits popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is xircuits well maintained?

We found that xircuits demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is xircuits safe to use?

The python package xircuits was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 11 November-2024, at 10:01 (UTC).

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