Software Alternatives, Accelerators & Startups

Testcafe Studio VS Plotly

Compare Testcafe Studio VS Plotly and see what are their differences

Testcafe Studio logo Testcafe Studio

An end-to-end web testing visual editor 🛠️

Plotly logo Plotly

Low-Code Data Apps
  • Testcafe Studio Landing page
    Landing page //
    2019-03-26
  • Plotly Landing page
    Landing page //
    2023-07-31

Testcafe Studio features and specs

  • Cross-Browser Testing
    TestCafe Studio supports running tests on multiple browsers, including Chrome, Firefox, Safari, and Edge, allowing for comprehensive cross-browser testing.
  • No Browser Plugins Required
    Unlike some testing tools, TestCafe Studio does not require any browser plugins, simplifying setup and execution.
  • Easy to Use Interface
    The graphical user interface is intuitive and user-friendly, making it accessible for users with varying levels of technical expertise.
  • Integrated Test Recorder
    TestCafe Studio includes a test recorder that allows users to record tests directly from the browser, which can speed up the test creation process.
  • End-to-End Testing Support
    It offers support for creating comprehensive end-to-end tests that cover a wide range of scenarios and functionalities.
  • Built-in Assertions
    TestCafe Studio comes with built-in assertion libraries, making it easier to write tests without needing additional dependencies.

Possible disadvantages of Testcafe Studio

  • License Cost
    TestCafe Studio is a paid product, which can be a barrier for teams with limited budgets compared to free alternatives.
  • Resource Intensive
    Running multiple tests can be resource-intensive, potentially slowing down other processes or requiring more powerful hardware.
  • Limited Integrations
    Compared to some competitors, TestCafe Studio might offer fewer third-party integrations out of the box, which can affect its adaptability.
  • Learning Curve
    While the interface is user-friendly, beginners might still face a learning curve when transitioning from other testing frameworks.
  • Less Community Support
    Being a commercial product, the community support might not be as extensive as some open-source testing frameworks.

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 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.

Testcafe Studio videos

Introducing TestCafe Studio

More videos:

  • Review - TestCafe STUDIO: Creating Your FIRST TEST?(Reacting)🤖

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 Testcafe Studio and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Design Tools
100 100%
0% 0
Data Dashboard
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 Testcafe Studio and Plotly

Testcafe Studio Reviews

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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 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.

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.

Testcafe Studio mentions (0)

We have not tracked any mentions of Testcafe Studio yet. Tracking of Testcafe 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 / 3 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 / 5 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 / 7 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 / about 1 year 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 Testcafe Studio and Plotly, you can also consider the following products

Dico - Hardcoded strings into editable content

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.

NextUX Visual Editor - Easy-to-use iteration app for non-designers

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

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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