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Sauce Labs VS Plotly

Compare Sauce Labs VS Plotly and see what are their differences

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Contents:
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Sauce Labs logo Sauce Labs

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

Plotly logo Plotly

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

Sauce Labs features and specs

  • Extensive Browser and OS Coverage
    Sauce Labs offers a wide range of browser and operating system combinations, allowing for comprehensive cross-browser testing.
  • Real Device Testing
    Provides access to a large number of real mobile devices for testing, ensuring accurate results compared to emulators.
  • Integration with CI/CD Tools
    Seamlessly integrates with popular Continuous Integration and Continuous Deployment tools like Jenkins, CircleCI, and Travis CI.
  • Detailed Reporting
    Offers in-depth test reports, screenshots, and videos, which help in debugging and improving the quality of tests.
  • Parallel Test Execution
    Supports running multiple tests in parallel, significantly reducing test execution time and speeding up the development cycle.
  • Scalability
    Highly scalable platform that can cater to both small projects and large enterprises, making it flexible for various needs.

Possible disadvantages of Sauce Labs

  • Cost
    The pricing can be quite high, especially for small teams or individual developers, making it less accessible for budget-constrained projects.
  • Learning Curve
    There can be a steep learning curve for new users who are not familiar with automated testing platforms.
  • Latency Issues
    Some users have reported latency issues and slower test execution times compared to local testing environments.
  • Complexity
    Setting up and configuring tests to run on Sauce Labs can be complex and time-consuming, requiring a good understanding of the platform and automated testing best practices.
  • Dependency on Internet Speed
    As a cloud-based service, the performance can be heavily dependent on the tester's internet speed, potentially affecting test execution and debugging processes.

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.

Sauce Labs videos

+ Add

Overview of Sauce Labs

More videos:

  • Review - How an Automated Test Works With Sauce Labs
  • Review - Sauce Labs Analytics

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 Sauce Labs and Plotly)

Sauce Labs

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

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Reviews

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

Sauce Labs Reviews

Top Selenium Alternatives
Sauce Labs is a cloud-based platform that offers automated testing tools for web and mobile applications. It provides a secure and scalable environment for running tests across a wide range of browsers and operating systems. With features like parallel testing, real device testing, and live debugging, Sauce Labs focuses on improving test execution times and overall efficiency.
Source: bugbug.io
Top 20 Best Automation Testing Tools in 2018 (Comprehensive List)
Sauce Labs is a selenium cloud-based solution that offers automated testing over cross-browsers and multiple platforms. It has support for both mobile and desktop apps. It is known for significantly accelerating test cycles.
Source: www.softwaretestinghelp.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 should be more popular than Sauce Labs. 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.

Sauce Labs mentions (17)

  • 11 Most Popular Tools for Logging and Monitoring API Calls
    Sauce Labs used to be called API Fortress, and under that name, it generated a bit of a reputation as a cloud-based REST API monitoring solution. Setting up Sauce Labs for monitoring involves establishing secure connections to ensure data integrity and security. Sauce Labs continues this success by providing testing, monitoring, and reporting, but for those looking principally for API log tooling, Sauce Labs can... - Source: dev.to / about 2 months ago
  • Top 10 iOS Automation Testing Tools for 2025 (with Key Features)
    #2 SauceLabs SauceLabs also offers a cloud-based platform for testing iOS apps, as well as capabilities to build, organize, and run tests for delivering high-quality applications. - Source: dev.to / 6 months ago
  • Free Cross Browser Testing Tools to pick in 2025
    5. Sauce Labs (Free Plan) Sauce Labs provides a cloud-based testing platform that includes real device testing and supports Selenium, Appium, and other popular automation frameworks. While its free tier limits access to testing minutes and device options, it’s ideal for smaller testing needs and early-phase bug hunting. Paid plans enable larger teams to scale with access to additional device environments. - Source: dev.to / 6 months ago
  • 🛑 Stop resizing your browser: improve testing for responsiveness
    Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / 12 months ago
  • React Native Testing Options Overview
    Appium is an open-source test automation framework. You can use it with native, hybrid, and mobile web apps. It drives iOS and Android apps using the WebDriver protocol. Appium is sponsored by Sauce Labs and a community of open source developers. - Source: dev.to / about 1 year ago
View more

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 / about 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 / 11 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 Sauce Labs and Plotly, you can also consider the following products

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

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.

LambdaTest - Perform Web Testing on 2000+ Browsers & OS

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

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

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

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