Software Alternatives, Accelerators & Startups

PyTorch VS react-testing-library

Compare PyTorch VS react-testing-library and see what are their differences

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...

react-testing-library logo react-testing-library

[`React Testing Library`][gh] builds on top of `DOM Testing Library` by adding
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • react-testing-library Landing page
    Landing page //
    2022-08-21

PyTorch videos

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

react-testing-library videos

React unit testing with Jest & React-testing-library

More videos:

  • Review - Test a React Component that renders a list with react-testing-library

Category Popularity

0-100% (relative to PyTorch and react-testing-library)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Automated Testing
0 0%
100% 100

User comments

Share your experience with using PyTorch and react-testing-library. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare PyTorch and react-testing-library

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...

react-testing-library Reviews

We have no reviews of react-testing-library yet.
Be the first one to post

Social recommendations and mentions

react-testing-library might be a bit more popular than PyTorch. We know about 115 links to it since March 2021 and only 112 links to PyTorch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PyTorch mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
  • Mathematics secret behind AI on Digit Recognition
    Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 21 days ago
  • Awesome List
    PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 28 days ago
  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / about 1 month ago
  • Building a Simple Chatbot using GPT model - part 2
    PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / about 1 month ago
View more

react-testing-library mentions (115)

  • Are you testing in React for the first time? This might help.
    A good DOM testing library for React is React testing library. - Source: dev.to / about 3 hours ago
  • Visual Introduction to Frontend Testing Types
    React Testing Library - https://testing-library.com/docs/react-testing-library/intro/. - Source: dev.to / about 2 months ago
  • Efficiently Testing Asynchronous React Hooks with Vitest
    React Testing Library: provides utilities to make testing easier. - Source: dev.to / 3 months ago
  • Creating a reusable Design System between React and React Native with Tamagui
    Since we are testing the front-end, we will also rely on the React Testing Library, which provides support for rendering components and custom queries in the DOM. - Source: dev.to / 3 months ago
  • Story of a Failed React Project
    It’s not to say 100% coverage is the way to go, but at least some functional testing with something like react-testing-library and cypress can save a lot of time. - Source: dev.to / 6 months ago
View more

What are some alternatives?

When comparing PyTorch and react-testing-library, 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.

Enzyme - Enzyme is a JavaScript testing utility for React.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Ava - Making conversations accessible for the deaf

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

EyeJS - A JavaScript testing framework for the real world.