
Jest
react-testing-library
Vitest
Mochajs
Playwright
Jasmine
Vite
Node.js
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PlotlyPlotly 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.
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 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
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
Jest - Delightful JavaScript Testing Framework with a focus on simplicity. - Source: dev.to / 6 months ago
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
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
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
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
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
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
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
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.