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Plotly VS react-testing-library

Compare Plotly VS react-testing-library and see what are their differences

Modelence
Create production-ready applications with zero code featured
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

react-testing-library logo react-testing-library

[`React Testing Library`][gh] builds on top of `DOM Testing Library` by adding
  • Plotly Landing page
    Landing page //
    2023-07-31
  • react-testing-library Landing page
    Landing page //
    2022-08-21

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.

react-testing-library features and specs

  • Focused on user-centric testing
    React Testing Library encourages tests that closely resemble how users interact with an application. This approach makes tests more reliable and meaningful.
  • Reduces coupling to implementation details
    By encouraging developers to interact with components via the DOM, the library minimizes dependencies on component internals, making tests less prone to breaking from refactors.
  • Improved test readability
    Tests written with React Testing Library are generally easier to read and understand because they focus on what the user sees and does, rather than the internal logic of the components.
  • Comprehensive query options
    The library provides a wide range of query methods (e.g., getByText, getByRole), which makes it easy to select elements in ways that resemble how users think.
  • Active community and well-maintained
    React Testing Library has a strong, active community and it's maintained by experienced developers who keep the library up-to-date with React's evolution.

Possible disadvantages of react-testing-library

  • Limited support for non-DOM testing
    The library is heavily focused on DOM interactions, making it less suited for testing non-DOM logic or scenarios that don't involve user interactions.
  • Can be slower
    Tests that involve the DOM can be slower compared to tests that interact directly with component methods and state, which can lead to longer test execution times.
  • Learning curve for traditional testers
    Developers who are used to testing implementation details with other tools (like Enzyme) might find it challenging to adjust to the user-centric approach advocated by React Testing Library.
  • Potential for less granular control
    Because the library encourages testing through the UI, developers might find it harder to test specific, isolated internal behaviors of components that aren't directly visible to users.
  • Dependencies on browser APIs
    The library's reliance on browser APIs means that tests may behave differently in different environments or may require polyfills for certain features, leading to potential inconsistencies.

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.

Analysis of react-testing-library

Overall verdict

  • React Testing Library is highly regarded in the React community for its simplicity and effective approach to testing React components. Itโ€™s known for promoting good testing practices that result in reliable and maintainable code.

Why this product is good

  • React Testing Library is considered good because it encourages testing practices that closely resemble how users interact with the application. It emphasizes testing components from the user's perspective and discourages testing implementation details, which can lead to more robust and maintainable tests.

Recommended for

  • Developers looking to improve the reliability of their React applications
  • Teams interested in adopting user-centric testing methodologies
  • Projects that prioritize maintainable and understandable test code

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

react-testing-library videos

+ Add

React unit testing with Jest & React-testing-library

More videos:

  • Review - Test a React Component that renders a list with react-testing-library

Category Popularity

0-100% (relative to Plotly and react-testing-library)

Plotly

react-testing-library

Data Visualization
100 100%
Data Visualization
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Javascript UI Libraries
39 39%
Javascript UI Libraries
61% 61

User comments

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Reviews

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

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

react-testing-library Reviews

We have no reviews of react-testing-library yet.
Be the first one to post

Social recommendations and mentions

Based on our record, react-testing-library should be more popular than Plotly. It has been mentiond 137 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.

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
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react-testing-library mentions (137)

  • Test-Driven Development for Building User Interfaces
    React Testing Libraryโ€™s core philosophy is that we should write our tests in such a way that we simulate user behavior. By testing what the user can actually do, our tests focus less on implementation details and more on the actual user interface, which leads to less brittle tests and a more reliable test suite. - Source: dev.to / 6 months ago
  • Chaos-Driven Testing for Full Stack Apps: Integration Tests That Break (and Heal)
    In the main branch, we set up Vitest as the test runner and React Testing Library for rendering the component and simulating user interactions. We also set up MSW to intercept the network requests and return mock responses. - Source: dev.to / 10 months ago
  • ๐Ÿš€ 9 Libraries to Boost Your Productivity as a React Developer
    React Testing Library (RTL) provides lightweight utilities built on top of react-dom and react-dom/test-utils, designed to promote testing through user interactions rather than component internals. Instead of working with component instances, RTL encourages querying and asserting against actual DOM nodes, just like real users would. This approach improves test reliability and pushes developers toward writing more... - Source: dev.to / 12 months ago
  • Best Practices for React Applications
    Testing ensures code reliability and maintainability. Jest, Vitest and React Testing Library are standard tools for unit and integration testing. Unit tests verify individual components, while integration tests ensure features work together. For example, testing a TodoList component might involve:. - Source: dev.to / about 1 year ago
  • Migrating from AngularJS to React
    Additionally, I wrote Jest and Enzyme unit tests to demonstrate how to go about unit testing the components, as test driven development (TDD) is another methodology my organization subscribes to. Jest is a unit testing framework that actually shipped with React if you use the Create React App CLI to make a new React project. And at the time, Enzyme was created by Airbnb and added additional functionality to Jest... - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Plotly and react-testing-library, you can also consider the following products

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.

Jest - Jest is a delightful JavaScript Testing Framework with a focus on simplicity.

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

Vitest - A blazing fast unit test framework powered by Vite

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.

Enzyme - Enzyme is a JavaScript testing utility for React.

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