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JUnit VS Scikit-learn

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

JUnit logo JUnit

JUnit is a simple framework to write repeatable tests.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • JUnit Landing page
    Landing page //
    2022-12-12
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

JUnit videos

Code Review of example Project for JUnit 5 Tests

More videos:

  • Review - JUnit - Features
  • Review - JUnit test case example in Java – CM004

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 JUnit and Scikit-learn)
Automated Testing
100 100%
0% 0
Data Science And Machine Learning
Testing
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 JUnit and Scikit-learn

JUnit 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 JUnit. It has been mentiond 28 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.

JUnit mentions (16)

  • Setting up Continuous Integration
    Unlike I expected, setting up the project with Junit proved to be really time-consuming for me. - Source: dev.to / 7 months ago
  • Adding testing for my java project
    First, I chose a testing framework for my java project. JUnit is the most pupular testing framework for java. - Source: dev.to / 7 months ago
  • How to prevent NullPointerExceptions in Java
    This code defines a JUnit test case for the getStrings() method of the MyClass class. Then it creates an instance of MyClass, calls the getStrings() method, and asserts that the result is not null using the assertNotNull() method. - Source: dev.to / 9 months ago
  • JUnit 5: link tests with task tracker issues
    How you can link JUnit 5 tests with issues in your task tracker systems? - Source: dev.to / about 1 year ago
  • DevOps Tooling Landscape
    JUnit is a popular Java testing framework used for unit testing. It's an open-source tool that's designed to make it easy for developers to write and run automated tests. JUnit provides a set of annotations and assertions that can be used to define test cases and expected outcomes, and it can be easily integrated with other DevOps tools like Jenkins and Maven. - Source: dev.to / about 1 year ago
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Scikit-learn mentions (28)

  • 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
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
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What are some alternatives?

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

Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.

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

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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