Software Alternatives, Accelerators & Startups
Register | Login

Ranorex Studio VS Plotly

Compare Ranorex Studio VS Plotly and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Ranorex Studio logo Ranorex Studio

Accelerate testing with Ranorex Studio, the all-in-one tool for test automation. For desktop, web, or mobile app testing, with easy codeless automation tools, a full IDE, robust object recognition, flexible reporting and built-in Selenium WebDriver.

Plotly logo Plotly

Low-Code Data Apps
  • Ranorex Studio Landing page
    Landing page //
    2023-07-03

Ranorex Studio supports test automation on a broad array of platforms, from legacy desktop applications to the latest web and mobile technologies. Ranorex Studio tools help teams automate faster, identify defects, and reduce test maintenance, so that you can focus on delivering quality applications.

Features

  • End-to-end testing for desktop, web, and mobile apps
  • Built-in Selenium WebDriver integration
  • Scalable cross-browser testing: execute tests in parallel, on a local Selenium Grid, or cloud platform
  • Includes powerful capture-and-replay tools for easy automation and keyword-driven testing
  • Full IDE with intelligent code completion, tools for refactoring and debugging, and open API
  • Built for collaboration, with reusable code modules, shareable object repository, version control support and Magic Merger tool
  • Data-driven testing with CSV files, Excel files, or SQL data connectors
  • Integrates with Jira, Jenkins, TFS, Git, TestRail and many more
  • Plotly Landing page
    Landing page //
    2023-07-31

Ranorex Studio features and specs

  • Ease of Use
    Ranorex Studio offers a user-friendly interface that allows both beginners and experienced testers to automate tests without requiring extensive programming skills.
  • Comprehensive IDE
    The integrated development environment (IDE) is feature-rich, including tools for recording, coding, debugging, and running automated tests.
  • Cross-Browser Testing
    Ranorex supports cross-browser testing, enabling users to test their applications on different browsers, such as Chrome, Firefox, and Internet Explorer.
  • Integrated Reporting
    The tool offers comprehensive reporting features, which allow users to generate detailed, customizable test reports that can be used for analysis and decision-making.
  • Support for Multiple Testing Types
    Ranorex supports functional, GUI, regression, integration, and data-driven testing, providing a versatile platform for various testing needs.
  • Robust Community and Support
    Ranorex provides extensive documentation, an active user community, and professional technical support to help users resolve issues quickly.

Possible disadvantages of Ranorex Studio

  • High Cost
    Ranorex Studio is relatively expensive compared to other test automation tools, which could be a barrier for small businesses or startups.
  • Limited Integration with DevOps Tools
    While Ranorex supports some integrations, it is not as seamlessly integrated with popular DevOps tools as some other test automation solutions.
  • Resource Intensive
    The software can be quite resource-intensive, requiring a significant amount of memory and processing power, which might impact performance on lower-end systems.
  • Learning Curve for Advanced Features
    Although the basic features are easy to use, mastering advanced functionalities can take time and may require a learning curve for new users.
  • Limited MacOS Support
    Ranorex Studio is primarily designed for Windows, making it less suitable for teams that need to run tests on MacOS environments.

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 Ranorex Studio

Overall verdict

  • Overall, Ranorex Studio is regarded as a solid choice for test automation, particularly for teams looking for a versatile and user-friendly tool that requires minimal coding expertise while still offering powerful automation capabilities.

Why this product is good

  • Ranorex Studio is considered a good test automation tool because it offers a comprehensive set of features that support end-to-end testing for desktop, web, and mobile applications. It provides a user-friendly interface that allows both technical and non-technical users to create automated test cases without extensive programming knowledge. Moreover, Ranorex supports a wide range of technologies and platforms, integrates well with popular CI/CD tools, and offers strong object recognition capabilities.

Recommended for

    Ranorex Studio is recommended for QA teams and test automation engineers who work in diverse environments requiring testing across multiple platforms and technologies. It's especially beneficial for teams that have a mix of technical and non-technical members, due to its ease of use and robust feature set.

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.

Ranorex Studio videos

+ Add

Ranorex Studio Quick Start Series 1/6: Install Ranorex Studio and create your first test

More videos:

  • Review - Ranorex Studio Automated Testing Tools for Desktop, Web and Mobile

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 Ranorex Studio and Plotly)

Ranorex Studio

Plotly

Website Testing
100 100%
Website Testing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Automated Testing
100 100%
Automated Testing
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Ranorex Studio and Plotly. 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 Ranorex Studio and Plotly

Ranorex Studio Reviews

Best Selenium Alternatives (Free and Paid) in 2021
Ranorex enhances the quality and maximizes your resources for automated regression tests. Ranorex Studio is an all-in-one tool for test automation that allows us to perform end-to-end testing using real devices or emulators/simulators, and run tests across different platforms, devices, or technologies. It supports cross-browser testing for Chrome, Firefox, Safari, Microsoft...
Source: www.softwaretestingmaterial.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 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

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Ranorex Studio mentions (0)

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

Plotly mentions (33)

  • 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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

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

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.

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

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

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

Loading...