Software Alternatives, Accelerators & Startups

Selenium VS Plotly

Compare Selenium VS Plotly 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.

Plotly logo Plotly

Low-Code Data Apps
  • Selenium Landing page
    Landing page //
    2024-08-22
  • Plotly Landing page
    Landing page //
    2023-07-31

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.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

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#

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Selenium videos

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

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Selenium and Plotly)
Automated Testing
100 100%
0% 0
Data Visualization
0 0%
100% 100
Browser Testing
100 100%
0% 0
Charting Libraries
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 Selenium and Plotly

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 thatโ€™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.

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly should be more popular than Selenium. It has been mentiond 34 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.

Selenium mentions (9)

  • Top 7 Puppeteer Alternatives for Web Automation and Testing (2025)
    Selenium is one of the most popular and mature automated testing frameworks for web applications. Unlike Puppeteer, which is limited to Chromium, Selenium supports all major browsersโ€”including Chrome, Firefox, Safari, and Edgeโ€”making it a reliable choice for Cross-platform browser testing. - Source: dev.to / 12 months ago
  • 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 3 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 3 years ago
  • Issues with Selenium 4.8.0
    This is the code again after checking selenium's official site :. Source: over 3 years ago
  • Having Issues with selenium
    I also tried the following code seen on the selenium.dev website. Source: over 3 years ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Selenium and Plotly, 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.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.