Babel
jQuery
React Native
Composer
OpenSSL
Raven.js
Symfony
jQuery UI
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Babel
PlotlyBabel is recommended for web developers who want to write modern JavaScript but need to ensure that their code remains functional across different environments and older browsers. It is also valuable for projects where developers aspire to use the latest ECMAScript features without waiting for broad native support.
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.
Based on our record, Babel should be more popular than Plotly. It has been mentiond 153 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.
Can be used with promises, ES6 generators and async/await (using Babel). - Source: dev.to / 4 months ago
@vitejs/plugin-react uses Babel (or oxc when used in rolldown-vite) for Fast Refresh. - Source: dev.to / 5 months ago
I was convinced that Babel with full AST parsing was the "right" way to analyze code. I mean, that's what real tools do, right? VS Code uses it, TypeScript uses it, all the cool kids use AST parsing! - Source: dev.to / 12 months ago
There are several ways to use Webpack, Browserify or Babel. For more information on using these tools, please refer to the corresponding project's documentation. In the script, including Quanter will usually look like this:. - Source: dev.to / 12 months ago
In order to accomplish this, I picked up a tool that I've been loathe to touch since the last time I used it, roughly a decade ago โ Babel. - Source: dev.to / about 1 year 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 / 5 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
jQuery - The Write Less, Do More, JavaScript Library.
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.
React Native - A framework for building native apps with React
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Composer - Composer is a tool for dependency management in PHP.
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.