Software Alternatives, Accelerators & Startups

BrowserStack VS Plotly

Compare BrowserStack VS Plotly and see what are their differences

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.

BrowserStack logo BrowserStack

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

Plotly logo Plotly

Low-Code Data Apps
  • BrowserStack Landing page
    Landing page //
    2025-05-06

BrowserStack is a leading software testing platform powering over two million tests every day across 15 global data centers. With BrowserStack, developers can comprehensively test their websites and mobile applications across 2,000+ real mobile devices and browsers in a single cloud platformโ€”and at scale. BrowserStack helps Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed.

  • Plotly Landing page
    Landing page //
    2023-07-31

BrowserStack

$ Details
freemium $29.0 / Monthly (Starts at single user plans and billed annually)
Platforms
Mac OSX Android Windows Browser Web iOS Google Chrome Firefox Safari REST API Internet Explorer
Release Date
2012 September
Startup details
Country
Ireland
State
Dublin
City
Dublin
Founder(s)
Nakul Aggarwal
Employees
500 - 999

BrowserStack features and specs

  • Cloud-based
  • Browser Extensions
  • SaaS

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 BrowserStack

Overall verdict

  • Overall, BrowserStack is considered a highly effective and reliable tool in the web development and testing community. Its extensive features, real-device testing capabilities, and seamless integration make it a good choice for those needing comprehensive cross-browser testing solutions.

Why this product is good

  • BrowserStack is a robust and widely used web testing platform that provides developers with the ability to test their websites and applications across a vast array of browsers and devices. It offers real device cloud testing, ensuring that users can assess how their applications perform on actual devices rather than simulations. This makes it an invaluable tool for identifying and resolving cross-browser compatibility issues. Additionally, it integrates with popular CI/CD tools, enhancing the workflow efficiency for development teams.

Recommended for

  • Web developers
  • QA engineers
  • Agile development teams
  • Companies needing cross-browser testing across multiple devices
  • Teams looking for CI/CD integration in their testing process

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.

BrowserStack videos

BrowserStack Overview

More videos:

  • Tutorial - SpeedLab by BrowserStack
  • Review - SharePoint Team Finds BrowserStack Invaluable

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 BrowserStack and Plotly)
Website 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 BrowserStack and Plotly

BrowserStack Reviews

Other alternatives to Tuskr
BrowserStack lets you test your website or app on actual phones, tablets, and browsers so you see exactly how it will work in real life. It also includes some basic test management features.
Source: testpad.com
Top Selenium Alternatives
BrowserStack is another leading cloud-based testing platform that offers access to a vast array of browsers and real mobile devices. It's designed to simplify the testing process by allowing tests to run in parallel across different environments, significantly reducing the time needed for comprehensive testing. BrowserStack features include live, interactive testing,...
Source: bugbug.io
Why choose HeadSpin over BrowserStack?
Companies like HeadSpin and BrowserStack play a significant role in fulfilling the demand for testing on real devices and cross-browser devices. Their ability to test on real devices online and monitor digital experiences adds to the value proposition of organizations implementing testing solutions. However, every company has different requirements and here are a few reasons...
Source: www.headspin.io

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 BrowserStack. 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.

BrowserStack mentions (8)

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 BrowserStack and Plotly, you can also consider the following products

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

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...

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

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.