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PEST VS Scikit-learn

Compare PEST VS Scikit-learn and see what are their differences

PEST logo PEST

An elegant PHP testing framework with a focus on simplicity

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • PEST Landing page
    Landing page //
    2023-05-03
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

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

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

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

PEST Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than PEST. It has been mentiond 29 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 / 6 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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Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 5 days ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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What are some alternatives?

When comparing PEST and Scikit-learn, you can also consider the following products

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

OpenCV - OpenCV is the world's biggest computer vision library

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

NumPy - NumPy is the fundamental package for scientific computing with Python