Software Alternatives, Accelerators & Startups

PEST VS TensorFlow

Compare PEST VS TensorFlow and see what are their differences

PEST logo PEST

An elegant PHP testing framework with a focus on simplicity

TensorFlow logo 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.
  • PEST Landing page
    Landing page //
    2023-05-03
  • TensorFlow Landing page
    Landing page //
    2023-06-19

PEST videos

THE PEST BAD MOVIE REVIEW | Double Toasted

More videos:

  • Review - The Pest - Nostalgia Critic
  • Review - PESTIE review | DIY Pest Control Like a PRO | House to Home Update

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to PEST and TensorFlow)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Productivity
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PEST and TensorFlow

PEST Reviews

We have no reviews of PEST yet.
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TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, PEST should be more popular than TensorFlow. It has been mentiond 17 times since March 2021. 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.

PEST mentions (17)

  • Embracing the Future of Web Development with Laravel, PestPHP, Livewire and Vue.js
    Testing was previously a significant challenge for me until I discovered PestPHP. Its simplicity and expressive syntax transformed a tedious task into a valuable and efficient part of the development process. With PestPHP, ensuring the reliability of my code has never been easier or more efficient. It provides a safety net that catches bugs before they become problems, allowing me to concentrate on building and... - Source: dev.to / 5 days ago
  • The PHP Orkestra Framework
    As you can see this template will add and configura the Pest test suite with a custom TestCase class that will start the application for your tests, making easy to test your application services (as used by Orkestra itself) and you will see a basic application, with a single route in the file config/routes.php that calls a Controller that simply render a Twig view. - Source: dev.to / about 1 month ago
  • Wordpress tests with Pest and WP Setup
    Today, I finished the first implementation of this environment, adding Pest and PHPUnit in v10.5, which is currently not supported by default with WP Env. - Source: dev.to / 2 months ago
  • Simplifying API Integration with Laravel's Http Facade
    Below, I added some examples for testing the request and client classes. For the tests, I am using Pest PHP which provides a clean syntax and additional features on top of PHPUnit. - Source: dev.to / 7 months ago
  • Enhancing Your Laravel API with Treblle Platform
    By default, Laravel comes with PHPUnit for testing. However you can use Pest instead. - Source: dev.to / 12 months ago
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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing PEST and TensorFlow, you can also consider the following products

PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks

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

Codeception - Codeception is a new full-stack testing PHP framework.

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

Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...

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