Backprop vs Jasmine
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Jasmine is a Behavior Driven Development testing framework for JavaScript. It does not rely on browsers, DOM, or any JavaScript framework. Thus it's suited for websites, Node.js projects, or anywhere that JavaScript can run. | It is an API/platform that makes enhancing software with machine learning simple. With powerful out-of-the-box models, easy custom uploads, and scalable infrastructure it has everything you need. |
| - | Conversational question answering in English;
Text Classification in 100+ languages;
Image Classification;
Text Vectorisation in 50+ languages;
Image Vectorisation;
Summarisation in English;
Emotion detection in English;
Text Generation |
Statistics | |
GitHub Stars - | GitHub Stars 242 |
GitHub Forks - | GitHub Forks 11 |
Stacks 4.8K | Stacks 0 |
Followers 1.5K | Followers 4 |
Votes 187 | Votes 0 |
Pros & Cons | |
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What are some alternatives to Jasmine, Backprop?
Mocha
Mocha is a feature-rich JavaScript test framework running on node.js and the browser, making asynchronous testing simple and fun. Mocha tests run serially, allowing for flexible and accurate reporting, while mapping uncaught exceptions to the correct test cases.
Jest
Jest provides you with multiple layers on top of Jasmine.
Cypress
Cypress is a front end automated testing application created for the modern web. Cypress is built on a new architecture and runs in the same run-loop as the application being tested. As a result Cypress provides better, faster, and more reliable testing for anything that runs in a browser. Cypress works on any front-end framework or website.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
CodeceptJS
It is a modern end to end testing framework with a special BDD-style syntax. The test is written as a linear scenario of user's action on a site. Each test is described inside a Scenario function with I object passed into it.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Protractor
Protractor is an end-to-end test framework for Angular and AngularJS applications. Protractor runs tests against your application running in a real browser, interacting with it as a user would.
AVA
Even though JavaScript is single-threaded, IO in Node.js can happen in parallel due to its async nature. AVA takes advantage of this and runs your tests concurrently, which is especially beneficial for IO heavy tests. In addition, test files are run in parallel as separate processes, giving you even better performance and an isolated environment for each test file.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
