Software Alternatives, Accelerators & Startups

Jest VS Plotly

Compare Jest VS Plotly and see what are their differences

Jest logo Jest

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

Plotly logo Plotly

Low-Code Data Apps
  • Jest Landing page
    Landing page //
    2023-09-10
  • Plotly Landing page
    Landing page //
    2023-07-31

Jest features and specs

  • Easy Setup
    Jest provides an out-of-the-box configuration which makes it easy to set up and start testing quickly without needing extensive configuration.
  • Snapshot Testing
    Jest supports snapshot testing, allowing developers to capture the state of UI components, making regression testing easier.
  • Mocking Capabilities
    Jest offers powerful mocking capabilities for functions, modules, and timers, enabling isolated and independent unit tests.
  • Parallel Test Execution
    Jest runs tests in parallel, utilizing multiple workers to speed up test execution and improve performance.
  • Comprehensive Documentation
    Jest has thorough and well-maintained documentation which helps developers easily understand and utilize its features.
  • Watch Mode
    Jest has a watch mode feature that automatically re-runs tests when files are updated, improving development workflow.
  • Built-in Code Coverage
    Jest provides built-in code coverage reports, giving developers insights into which parts of their code are covered by tests.

Possible disadvantages of Jest

  • Performance Overhead
    Jest's parallel test execution can sometimes introduce performance overhead, especially in large projects with many workers firing at once.
  • Test Initialization
    Tests can take longer to initialize due to the need for Jest to transform code from modern JavaScript syntax down to older syntax versions.
  • Limited Browser Testing
    Jest is primarily designed for testing Node.js applications and may require additional configuration or tools for full-featured browser testing.
  • Learning Curve
    For developers unfamiliar with JavaScript testing frameworks, understanding Jest's extensive feature set and configuration options can be challenging.
  • Specific to JavaScript
    Jest is specifically designed for JavaScript and may not be suitable for projects that involve multiple programming languages.

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 Jest

Overall verdict

  • Jest is considered a good choice for modern JavaScript development, particularly for projects involving React, due to its robustness, ease of use, and active community support. Its ability to run tests in parallel and produce detailed diagnostics contributes significantly to improving testing efficiency.

Why this product is good

  • Jest is a popular testing framework for JavaScript that provides a simple and highly effective environment for unit testing, especially for applications built with React. It comes with an extensive set of features including a zero configuration setup, a powerful mocking library, and coverage reports, all without needing additional tools. Jest's ease of use and speed make it a preferred choice for developers looking for seamless integration in their development process.

Recommended for

  • Developers working with React and looking for easy integration with minimal configuration.
  • Teams that require a fast and reliable testing tool with excellent community support and active development.
  • Projects that demand comprehensive testing capabilities including unit tests, integration tests, and snapshot testing.

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.

Jest videos

60 Second Book Review: โ€œInfinite Jestโ€ by David Foster Wallace

More videos:

  • Review - How I Get Through Tough Books - Infinite Jest and Proust
  • Review - David Foster Wallace interview on "Infinite Jest" with Leonard Lopate (03/1996)

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 Jest and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
JavaScript Framework
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 Jest and Plotly

Jest 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 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, Jest should be more popular than Plotly. It has been mentiond 87 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.

Jest mentions (87)

  • 7 Free Tools for Testing AI-Generated Code Before It Ships
    Jest is the dominant testing framework for JavaScript and TypeScript. It supports unit tests, integration tests, and snapshot tests out of the box, with no configuration required for most projects. - Source: dev.to / 3 months ago
  • Three Ways to Convert JSON to TypeScript. Only One Is Deterministic.
    Test fixtures. If you write tests with Jest or Vitest, converting fixture files ensures your mocks match production shapes. - Source: dev.to / 3 months ago
  • JavaScript Awesome Package
    Jest - Delightful JavaScript Testing Framework with a focus on simplicity. - Source: dev.to / 6 months ago
  • Mastering Testing: My journey with Jest in my project
    For my Repository Context Packager project (a CLI tool for packaging repository content), I had to chose among a variety of testing frameworks like Cypress, Jest, Vitest one that will best work and enable me write, organize and execute test cases for my project. I chose Jest because it is a popular and zero-configuration testing library that supports several options. Furthermore, it was my best choice because of... - Source: dev.to / 9 months ago
  • Setting Up Testing for My CLI Tool
    I just finished adding tests to my Repository-Context-Packager project, I went with Jest as my testing framework. Jest is probably the most popular JavaScript testing framework out there and it comes with everything built-in, mocking, coverage reports. I didn't need to install a bunch of separate packages like you would with some other frameworks. Plus, Jest has really good documentation and a huge community, so... - Source: dev.to / 9 months ago
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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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What are some alternatives?

When comparing Jest and Plotly, you can also consider the following products

react-testing-library - [`React Testing Library`][gh] builds on top of `DOM Testing Library` by adding

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.

Vitest - A blazing fast unit test framework powered by Vite

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

Mochajs - Mocha is a JavaScript test framework running on Node.js and the browser, making asynchronous testing simple.

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.