Software Alternatives, Accelerators & Startups

Scikit-learn VS Selenium

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

Scikit-learn logo Scikit-learn

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

Selenium logo Selenium

Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Selenium Landing page
    Landing page //
    2023-04-12

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Selenium videos

Selenium supplements — worth it or waste of time?

More videos:

  • Review - bio true selenium review
  • Review - SELENIUM: Why You Need It and Where To Get It

Category Popularity

0-100% (relative to Scikit-learn and Selenium)
Data Science And Machine Learning
Automated Testing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Browser Testing
0 0%
100% 100

User comments

Share your experience with using Scikit-learn and Selenium. 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 Scikit-learn and Selenium

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...

Selenium Reviews

Top Selenium Alternatives
Nightwatch.js simplifies the setup and use of Selenium WebDriver, providing an abstraction layer that is easier to work with for JavaScript developers. While it offers the broad compatibility and standardization of Selenium WebDriver, it aims to improve the development experience with its simplified syntax and support for the Page Object pattern, making it a middle ground...
Source: bugbug.io
Top 5 Selenium Alternatives for Less Maintenance
And that’s why code-free test automation is important. Implementing codeless Selenium alternatives can address the challenges posed by traditional Selenium testing. They help testers with various skill sets to contribute to the testing process, enhancing collaboration and accelerating the testing lifecycle. For an in-depth discussion on the significance of codeless Selenium,...
Best Automation Testing Tools (Free and Paid) | July 2022
Automation testing is the process of testing the software using an automation tool to find the defects. In this process, executing the test scripts and generating the results are performed automatically by automation tools. Some most popular tools to do automation testing are HP QTP/UFT, Selenium WebDriver, etc.,
20 BEST Selenium Alternatives in 2021
Selenium is an open-source automated testing tool. It can perform functional, regression, load testing on web applications across different browsers and platforms. Selenium is one of the finest tools, but it does have some drawbacks.
Source: www.guru99.com
Top 10 Best Selenium Alternatives You Should Try
Selenium is a convenient and portable software testing tool specifically used for testing web applications. It acts as an API (Application Program Interface) for browser automation. Selenium is the widely used free and open-source tool used for automation testing of web applications through various browsers and platforms.

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Selenium. 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.

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 / 19 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 / 4 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
View more

Selenium mentions (8)

  • How to write tests in Django for JavaScript fetch
    You won't be able to test the javascript function itself from within python, but you can exercise the front-end code using something like cypress (https://cypress.io) or the older but still respectable selenium (https://selenium.dev). Source: over 1 year ago
  • Having Issues with selenium
    In addition, .find_element_by_class_name is deprecated since selenium 4.3.0 and the replacement is .find_element(By.CLASS_NAME, "class"). Check selenium's site for more info. Source: over 1 year ago
  • Issues with Selenium 4.8.0
    This is the code again after checking selenium's official site :. Source: over 1 year ago
  • Having Issues with selenium
    I also tried the following code seen on the selenium.dev website. Source: over 1 year ago
  • Document Object Model Specification
    The following functions are defined within the Selenium project, at revision 1721e627e3b5ab90a06e82df1b088a33a8d11c20. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

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

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

Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.

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

Katalon - Built on the top of Selenium and Appium, Katalon Studio is a free and powerful automated testing tool for web testing, mobile testing, and API testing.