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Plotly VS soapUI

Compare Plotly VS soapUI and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

soapUI logo soapUI

SoapUI Pro is one of the most prominent API testing platforms around, allowing developers to quickly prototype the functions of their apps and get them to market with little hassle.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • soapUI Landing page
    Landing page //
    2023-09-16

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.

soapUI features and specs

  • Comprehensive Testing
    soapUI supports a wide range of testing types including functional, security, and load testing, providing a one-stop solution for API testing needs.
  • User-Friendly Interface
    The tool features an intuitive graphical user interface, making it accessible for users with varying levels of technical expertise.
  • Extensive Protocol Support
    soapUI supports multiple protocols like SOAP, REST, JMS, AMF, as well as a range of underlying technologies including HTTP, HTTPS, JMS, etc., offering flexibility in testing different kinds of APIs.
  • Scripting Capability
    With Groovy scripting support, users can create custom assertions, automation scripts, and add advanced logic to their tests.
  • Community and Documentation
    A large community of users and extensive documentation and tutorials are available, aiding in faster troubleshooting and learning.
  • Integrations
    soapUI integrates well with other tools such as Jenkins, Maven, and JIRA, streamlining the CI/CD pipeline.
  • Open Source Version
    The availability of an open-source version allows users to start testing without any initial cost.

Possible disadvantages of soapUI

  • Performance Issues
    soapUI can become slow, especially with large and complex projects, which can affect productivity.
  • High Memory Usage
    The application often consumes a significant amount of memory, leading to potential performance degradation on less powerful machines.
  • Steep Learning Curve for Advanced Features
    While the basic features are user-friendly, mastering advanced functionalities and scripting capabilities can be challenging for beginners.
  • Limited Advanced Reporting
    The reporting capabilities in the open-source version are quite basic compared to other commercial API testing tools.
  • Paid Licensing for Pro Features
    Many advanced features and more efficient workflows are locked behind the paid 'Pro' version, which might not be affordable for smaller teams or individual developers.
  • UI Glitches
    Users occasionally report glitches and bugs in the graphical user interface, which can be inconvenient and interrupt workflow.
  • Lack of Cloud Deployment
    As of now, soapUI does not offer a cloud-native or SaaS version, limiting flexibility for teams that prefer cloud-based tools.

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.

Analysis of soapUI

Overall verdict

  • Overall, SoapUI is considered a good tool for API testing, particularly for those looking for an all-in-one solution. Its extensive feature set and flexibility in handling different test scenarios make it a reliable choice in the industry. However, users should be aware of its potentially steep learning curve and resource-intensive nature, especially with large test suites.

Why this product is good

  • SoapUI is widely regarded as a robust tool for API testing due to its comprehensive set of features, including functional testing, security testing, and load testing capabilities. It offers a user-friendly interface that allows both technical and non-technical users to create and execute tests with ease. Furthermore, SoapUI supports multiple protocols such as SOAP, REST, JMS, and HTTP, making it versatile for various testing scenarios.

Recommended for

    SoapUI is recommended for QA engineers, developers, and testers who need a powerful tool to test APIs thoroughly. It is suitable for organizations that require detailed and comprehensive API testing solutions and are looking for a tool that can integrate with their DevOps processes. Additionally, teams using multiple API protocols will benefit from SoapUI's versatility.

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

soapUI videos

+ Add

REST API Automation - SoapUI OpenSource Review - Mac

More videos:

  • Review - Testing REST API with SoapUI OpenSource - Part 6 - Assertions - Mac
  • Review - SoapUI Certification : Basic details about certification

Category Popularity

0-100% (relative to Plotly and soapUI)

Plotly

soapUI

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

User comments

Share your experience with using Plotly and soapUI. 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 Plotly and soapUI

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 that’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

soapUI Reviews

Top 20 Open Source & Cloud Free Postman Alternatives (2024 Updated)
Product Introduction: SoapUI is a robust tool for testing SOAP and REST APIs, known for its extensive testing capabilities, including functional, load, and security testing, which makes it the perfect postman alternative.
Source: medium.com
Best Postman Alternatives To Consider in 2025
This open-source tool caters specifically to SOAP and RESTful web services. SoapUI excels in security testing, with features like load testing and functional testing. While not as beginner friendly as Postman, SoapUI offers a comprehensive solution for more complex API testing needs.
Source: www.hypertest.co
Postman Alternatives for API Testing and Monitoring
SoapUI is a popular open-source and commercial API testing tool (the commercial is called ReadyAPI), due to its powerful capabilities, flexibility and user-friendly platform. It’s particularly effective for testing SOAP, REST and GraphQL APIs. SoapUI allows inputting the WSDL or endpoint URL, configuring the requests with headers, parameters, or body content and sending the...
Source: www.blazemeter.com
15 Best Postman Alternatives for Automated API Testing [2022 Updated]
SoapUI provides security and load testing features, and its functional testing supports SOAP and REST API. Users can use SoapUI’s drag-and-drop or point-and-click for scripting features, creating and running automated regression, compliance, and load tests on Web API.
Source: testsigma.com
15 BEST SoapUI Alternatives (2022 Update)
SoapUI is a widely popular API testing tool. It allows you to test REST and SOAP protocols. It facilitates seamless integrations and reusability of scripts. However, load and workflow testing is difficult with SoapUI.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

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 / 6 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!🤓
    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 / almost 2 years 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

soapUI mentions (0)

We have not tracked any mentions of soapUI yet. Tracking of soapUI recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and soapUI, you can also consider the following products

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.

Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.

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

Postman - The Collaboration Platform for API Development

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.

TestComplete - TestComplete Desktop, Web, and Mobile helps you create repeatable and accurate automated tests across multiple devices, platforms, and environments easily and quickly.

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