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deeplearn-rs VS QUnit

Compare deeplearn-rs VS QUnit and see what are their differences

deeplearn-rs logo deeplearn-rs

deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.

QUnit logo QUnit

What is QUnit? QUnit is a powerful, easy-to-use JavaScript unit testing framework. It's used by the jQuery, jQuery UI and jQuery Mobile projects and is capable of testing any generic JavaScript code, including itself!
  • deeplearn-rs Landing page
    Landing page //
    2023-10-21
  • QUnit Landing page
    Landing page //
    2021-12-17

Category Popularity

0-100% (relative to deeplearn-rs and QUnit)
Data Science And Machine Learning
Automated Testing
0 0%
100% 100
Deep Learning
100 100%
0% 0
Testing
0 0%
100% 100

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Reviews

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QUnit Reviews

Top 20 Javascript Libraries
QUnit is a unit testing tool (rather framework) that can test any generic JavaScript code. Most jQuery projects use QUnit. QUnit has become essential as JS is now integral to any web project, and manual testing of so many functionalities is complicated and unreliable. Further, QUnit is powerful and easy to use. Unit tests written for one application can be reused for other...
Source: hackr.io

What are some alternatives?

When comparing deeplearn-rs and QUnit, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Jasmine - Behavior-Driven JavaScript

DeepDetect - DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

EyeJS - A JavaScript testing framework for the real world.

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

Mocha - Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.