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Katalon VS Plotly

Compare Katalon VS Plotly and see what are their differences

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Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Katalon logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • Katalon Landing page
    Landing page //
    2022-09-19
  • Plotly Landing page
    Landing page //
    2023-07-31

Katalon features and specs

  • User-Friendly Interface
    Katalon's intuitive and easy-to-navigate interface lowers the barrier for entry, making it simple for both novice and experienced testers to create and manage automated tests.
  • Cross-Browser Testing
    It supports automated testing across different browsers and platforms, ensuring consistent behavior of applications in various environments.
  • Integrated Reporting
    Katalon offers robust reporting and dashboard features, providing detailed insights and analytics on test execution and results.
  • Built-in Keywords
    The platform includes a comprehensive library of built-in keywords for web, API, mobile, and desktop testing, reducing the need for custom scripting.
  • Community and Support
    An active community along with comprehensive documentation and professional support services help users troubleshoot issues and share best practices.
  • Cost-Effective
    Offering both free and paid versions, Katalon is cost-effective and accessible for both small teams and large enterprises.
  • Integration Capabilities
    Katalon integrates well with popular CI/CD tools, version control systems, and other DevOps tools, enabling seamless workflows.

Possible disadvantages of Katalon

  • Performance Issues
    Some users report performance lags and slow test execution speeds, especially when dealing with large test suites.
  • Limited Scripting Language Options
    Katalon primarily supports Groovy for scripting, which could be a limitation for teams accustomed to other languages like Python or JavaScript.
  • Resource Intensive
    The platform can be resource-heavy, requiring robust hardware to run efficiently, which could be a concern for smaller setups or limited environments.
  • Steep Learning Curve for Advanced Features
    While the interface is user-friendly, advanced features and customizations have a steep learning curve that might require significant time investment.
  • Limited Mobile Testing Features
    Mobile testing capabilities, while present, are not as mature or extensive as some specialized mobile testing tools.
  • Pricing for Enterprise Features
    Advanced features and extensive support come at a cost, which might be a hurdle for smaller teams or organizations with limited budgets.
  • Integration Limitations
    Although Katalon integrates with many tools, it still lacks compatibility with some niche or less popular systems.

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 Katalon

Overall verdict

  • Katalon is a highly regarded tool in the test automation field. It offers a comprehensive solution for both beginner and advanced users, making it an effective choice for many organizations looking to implement automated testing.

Why this product is good

  • Katalon is considered a good option for test automation due to its user-friendly interface, extensive support for different types of testing such as web, API, mobile, and desktop applications, and its integration with a variety of tools like CI/CD pipelines, version control systems, and issue tracking tools. It provides built-in keywords, dual scripting interfaces (manual and Groovy scripting), and robust reporting capabilities, which streamline the test automation process for users with varying levels of expertise.

Recommended for

    Katalon is recommended for software testing teams and quality assurance professionals who are seeking a cost-effective and versatile automation tool. It's especially well-suited for those who work with diverse technologies and want an all-in-one platform for their test automation needs. Its ease of use makes it accessible for those new to automation, while its advanced features cater to more experienced testers.

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.

Katalon videos

+ Add

Katalon Studio: Advantage and Disadvantage to Katalon Studio

More videos:

  • Review - TestProject vs Katalon Studio - An Complete comparison
  • Review - QnA Friday 20 - Selenium or Katalon Studio ? โญโญโญ

Plotly videos

+ Add

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 Katalon and Plotly)

Katalon

Plotly

Automated Testing
100 100%
Automated Testing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Website Testing
100 100%
Website Testing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Katalon and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Katalon and Plotly

Katalon Reviews

Top 20 Open Source & Cloud Free Postman Alternatives (2024 Updated)
Katalon Studio is an integrated environment for API, web, desktop, and mobile testing. It provides a rich feature set for comprehensive testing.
Source: medium.com
Top Selenium Alternatives
Katalon Studio is a versatile testing platform that provides a comprehensive solution for web, API, mobile, and desktop application testing. It's designed for users of all technical levels and features codeless test creation, a friendly UI, and the ability to integrate with various tools and frameworks. Katalon platforms offers both automated and exploratory testing,...
Source: bugbug.io
15 Best Postman Alternatives for Automated API Testing [2022 Updated]
API testing in Katalon Studio is a comprehensive feature that supports all sorts of REST, SOAP/1.1, and SOAP/1.2 calls. Katalon Studio allows testers to collaborate in multiple ways on their API project, including keyword-driven testing and Page Object Model (POM) testing. Katalonโ€™s API automation IDE offers the best functionality for scripting, debugging, and maintaining...
Source: testsigma.com
Best Automation Testing Tools (Free and Paid) | July 2022
Katalon Studio is a simple and powerful automation solution built by KMS Technology for testers everywhere. The tool provides comparable features to popular commercial solutions whilst eliminating the effort to build an automation framework from open sources. Best of all, weโ€™re committed to keeping Katalon Studio free.
Source: www.softwaretestingmaterial.com
20 BEST Selenium Alternatives in 2021
Trusted by over half a million users, Katalon Studio offers the best of both worlds of Selenium & Appium by eliminating their complexities while still remaining a powerful automation solution with advanced features.
Source: www.guru99.com

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Katalon. 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.

Katalon mentions (12)

  • How to Consolidate Your QA Toolstack: A Practical Buyer's Guide
    Katalon True Platform is designed for teams making the transition from fragmented toolstacks to a unified quality system. It covers the full testing lifecycle in one platform: manual testing, test automation, test management, test execution (cloud and local), reporting and analytics, and production monitoring. That is typically four to five separate tools collapsed into one, with a single data layer underneath. - Source: dev.to / about 2 months ago
  • Top 6 AI API Testing Tools for Developers (2026)
    TL;DR: For AI-native test generation from specs, try Kusho AI. For the most complete platform with the newest AI Agent Mode, go Postman. For open-source and Git-native workflows, Bruno or Hoppscotch are your best bets. Enterprise teams should evaluate Katalon. Collaboration-first smaller teams will like Testfully. - Source: dev.to / 4 months ago
  • Top 5 AI Test Case Generation Tools to Boost Your API Testing in 2025
    Overview: Katalon Studio now offers a beta AI test case generator capable of producing test scenarios from OpenAPI/Swagger specifications. - Source: dev.to / 9 months ago
  • Top 10 AI Testing Tools You Need In 2025
    Katalon Studio integrates AI features like test object auto-healing and smart wait functionality. It simplifies testing across web, mobile, and APIs with minimal setup and has built-in CI/CD support. The platform also supports advanced analytics for deeper test insights. - Source: dev.to / about 1 year ago
  • 25 Best SaaS Testing Tools [2024]
    Katalon Studio is designed to provide a comprehensive testing platform for visual, web, API, mobile, and desktop applications. It is one of the best SaaS testing tools due to its user-friendly interface and robust features, which help teams streamline their testing processes and deliver high-quality software without bugs, enhancing overall digital experiences. - Source: dev.to / over 1 year 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 Katalon and Plotly, you can also consider the following products

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.

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.

Testsigma - Complete AI-driven Test Automation platform for Web apps, Mobile apps and APIs. Simple English commands to automate complex tests easily and effectively with all the flexibility that enterprise teams need!

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

TestMu AI (Formerly LambdaTest) - Worldโ€™s first full-stack Agentic AI Quality Engineering platform.

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.

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