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CrossBrowserTesting VS Plotly

Compare CrossBrowserTesting VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

CrossBrowserTesting logo CrossBrowserTesting

Browser Testing made simple! Run automated, visual, and manual tests on 1500+ real browsers and mobile devices. Test more browsers, in less time.

Plotly logo Plotly

Low-Code Data Apps
  • CrossBrowserTesting Landing page
    Landing page //
    2023-10-23
  • Plotly Landing page
    Landing page //
    2023-07-31

CrossBrowserTesting features and specs

  • Wide Range of Browsers and Devices
    CrossBrowserTesting offers a large selection of browsers and devices, allowing developers to test their applications in various environments to ensure compatibility.
  • Live Testing
    Users can perform live interactive testing on real devices, enabling them to manually verify the behavior of their application and catch issues that automated tests might miss.
  • Automated Testing Integration
    The platform provides integration with popular testing frameworks and tools such as Selenium, Appium, and others, facilitating automated testing workflows.
  • Visual Testing
    CrossBrowserTesting offers visual testing capabilities, allowing users to compare screenshots from different browsers to identify design inconsistencies.
  • Comprehensive Reports
    Detailed test reports with screenshots and logs are generated, helping users to quickly identify and address issues found during testing.
  • Parallel Testing
    The service supports parallel testing, enabling users to run multiple tests simultaneously, significantly reducing the overall testing time.
  • Easy-to-Use Interface
    The user interface is intuitive and user-friendly, making it easy for both beginners and experienced testers to navigate and utilize the platform effectively.

Possible disadvantages of CrossBrowserTesting

  • Cost
    CrossBrowserTesting can be expensive, especially for small teams or individual developers who might find the subscription plans to be cost-prohibitive.
  • Performance
    Tests on real devices can sometimes be slow due to the availability and network constraints, which can affect the overall efficiency of the testing process.
  • Limited Mobile Devices
    While the platform includes a variety of devices, the selection might not cover all the latest models or less common devices, potentially limiting testing coverage.
  • Learning Curve for Advanced Features
    Some advanced features and integrations might require a learning curve, which could be challenging for users who are not familiar with automated testing or the specific tools supported.
  • Test Timeout Issues
    Occasional issues with test timeouts have been reported, which can disrupt the testing process and require reruns or additional troubleshooting.

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 CrossBrowserTesting

Overall verdict

  • CrossBrowserTesting is generally regarded as a good solution for cross-browser testing needs, particularly for teams that require real-time testing and robust automation capabilities. Its ease of use, extensive browser/device coverage, and integration options make it a strong choice for many development and QA teams.

Why this product is good

  • CrossBrowserTesting is considered a valuable tool because it provides a cloud-based platform for testing websites and mobile applications across different browsers, devices, and operating systems. It enables developers and QA teams to ensure that their applications function correctly on various platforms without needing to maintain a complex setup of physical devices. The platform offers real-time debugging, automated screenshot testing, and integration with various CI/CD tools, which streamlines the testing process.

Recommended for

    This service is highly recommended for software development teams, QA engineers, and web developers who need to ensure compatibility and functionality of their web applications across multiple browsers and devices. It is particularly useful for organizations with a focus on maintaining high-quality user experiences across various platforms.

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.

CrossBrowserTesting videos

+ Add

Cross Browser Testing Tool Comparison โ€“ LambdaTest vs. CrossBrowserTesting

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 CrossBrowserTesting and Plotly)

CrossBrowserTesting

Plotly

Website Testing
100 100%
Website Testing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Browser Testing
100 100%
Browser Testing
0% 0
Charting Libraries
0 0%
Charting Libraries
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 CrossBrowserTesting and Plotly

CrossBrowserTesting Reviews

We have no reviews of CrossBrowserTesting yet.
Be the first one to post

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 CrossBrowserTesting. 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.

CrossBrowserTesting mentions (6)

  • How can I test my site on safari if I don't have a Mac ?
    Yeah I moved on pretty quick from browserstack, but it seems to be the most popular. I've tried crossbrowsertesting.com but at the moment I really like app.lambdatest.com. Source: almost 4 years ago
  • great list of "cool" sites from hnews
    Https://geizhals.de/ - this is a german site but the UI is nice and you can find a lot of stuff. Https://www.gsmarena.com/search.php3? - a phone search site. When I was at https://crossbrowsertesting.com we used this site a lot Https://www.howacarworks.com/ - how a car works Https://www.mcmaster.com/ - the UI here is so nice. Those illustrations Https://ciechanow.ski/mechanical-watch/ - how does a mechanical... - Source: dev.to / about 4 years ago
  • Learn How To Create, Test and Deploy a Single Page App with Vue 3 + Vite and Pinia
    Fortunately we donโ€™t need to install, nor configure, any other tools, unless maybe some fancy reporters, but for now we can get everything we need in terms of end-to-end automated testing out of Nightwatch. Besides Chrome, Nightwatch has built-in support for all major browsers, including Firefox, Edge, and Safari, all thanks to its integration with the W3C Webdriver API and Selenium. It also allows you to use... - Source: dev.to / over 4 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Crossbrowsertesting.com - Manual, Visual, and Selenium Browser Testing in the cloud - free for Open Source. - Source: dev.to / almost 5 years ago
  • How do yโ€™all test responsiveness of website?
    Professionally, I do basically the same for dev testing. We also have various devices on different platforms/versions in the office when needed, and our QA team primarily uses Cross Browser Testing Tool. If I need to check something specific, I usually use CBT. Source: about 5 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 CrossBrowserTesting 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.

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

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

browserling - Live interactive cross-browser testing from your browser.

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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