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Selenium VS TensorFlow

Compare Selenium VS TensorFlow and see what are their differences

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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.

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.
  • Selenium Landing page
    Landing page //
    2024-08-22
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Selenium features and specs

  • Open Source
    Selenium is an open-source tool, which means it is freely available for anyone to use, modify, and distribute. This makes it a cost-effective choice for companies of all sizes.
  • Cross-Browser Compatibility
    Selenium supports multiple browsers like Chrome, Firefox, Safari, and Edge. This allows testers to ensure that web applications work seamlessly across different browsers.
  • Cross-Platform Support
    Selenium can run on various operating systems including Windows, macOS, and Linux. This provides flexibility to test on multiple platforms to ensure consistent user experience.
  • Supports Multiple Programming Languages
    Selenium supports multiple programming languages such as Java, C#, Python, and JavaScript. This allows testers to write their scripts in the language they are most comfortable with.
  • Rich Community and Documentation
    Being a widely-used tool, Selenium has extensive community support and a wealth of documentation and tutorials available. This makes it easier for new users to get started and find solutions to problems.
  • Integration with Other Tools
    Selenium integrates well with various testing frameworks and tools like TestNG, JUnit, and Maven, as well as CI/CD tools like Jenkins and Docker. This makes it a versatile and comprehensive automation solution.

Possible disadvantages of Selenium

  • Steep Learning Curve
    Selenium requires knowledge of programming to create and maintain test scripts. For those new to automation or coding, the learning curve can be quite steep.
  • No Built-in Reporting
    Selenium does not come with built-in reporting features. Testers must rely on third-party tools or build custom reporting solutions to generate test reports.
  • Limited Support for Desktop Applications
    Selenium is designed primarily for web application testing and offers limited support for desktop applications. This limits its use in scenarios where desktop application testing is needed.
  • Manual Effort for Maintenance
    Test scripts require regular maintenance to accommodate changes in the web application, such as updates to the UI or changes in element identifiers. This can lead to significant manual effort.
  • Performance Issues
    Selenium can be slower compared to other automation tools, especially when running extensive test suites. This can affect the speed of the overall testing process.
  • Browser Compatibility Issues
    Although Selenium supports multiple browsers, each browser's implementation of WebDriver may have unique quirks and bugs. This occasionally leads to test script compatibility issues across different browsers.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Analysis of Selenium

Overall verdict

  • Selenium is a valuable tool for automated testing of web applications, providing flexibility, broad compatibility, and extensive support. It is particularly beneficial for teams looking for an open-source solution with a wide range of capabilities.

Why this product is good

  • Selenium is a highly popular open-source framework for automating web browsers. It supports multiple programming languages such as Java, C#, Python, and JavaScript, providing flexibility for testers with different coding skills. Selenium WebDriver, a core component, allows for creative and sophisticated testing through direct interaction with web pages. Its broad browser compatibility, community support, and extensive documentation make it a valuable tool for automated testing. It also integrates well with other tools and frameworks like Selenium Grid for parallel testing, and it can be used with CI/CD pipelines to facilitate continuous testing.

Recommended for

  • Software testers and QA engineers
  • Development teams implementing continuous integration and continuous testing
  • Organizations needing cross-browser testing solutions
  • Testers with programming skills in languages like Java, Python, or C#

Selenium videos

+ Add

What is Selenium | Selenium Explained in 2-minutes | Introduction to Selenium | Intellipaat

TensorFlow videos

+ Add

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 Selenium and TensorFlow)

Selenium

TensorFlow

Automated Testing
100 100%
Automated Testing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Browser Testing
100 100%
Browser Testing
0% 0
AI
0 0%
AI
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 Selenium and TensorFlow

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,...
Source: www.leapwork.com
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.,
Source: www.softwaretestingmaterial.com
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.
Source: www.softwaretestinghelp.com

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.
Source: www.labellerr.com
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...
Source: www.assemblyai.com

Social recommendations and mentions

Selenium might be a bit more popular than TensorFlow. We know about 8 links to it since March 2021 and only 7 links to TensorFlow. 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.

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: about 2 years 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 2 years ago
  • Issues with Selenium 4.8.0
    This is the code again after checking selenium's official site :. Source: over 2 years ago
  • Having Issues with selenium
    I also tried the following code seen on the selenium.dev website. Source: over 2 years ago
  • Document Object Model Specification
    The following functions are defined within the Selenium project, at revision 1721e627e3b5ab90a06e82df1b088a33a8d11c20. - Source: dev.to / about 3 years ago
View more

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 2 years 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 3 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 3 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 3 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 3 years ago
View more

What are some alternatives?

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

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.

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

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.

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

BrowserStack - BrowserStack is a software testing platform for developers to comprehensively test websites and mobile applications for quality.

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

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