CodePen
JSFiddle
CodeSandbox
GitHub
replit
VS Code
Pastebin.com
JS Bin
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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, CodePen seems to be a lot more popular than Plotly. While we know about 513 links to CodePen, we've tracked only 34 mentions of Plotly. 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.
> I vividly remember IE and many hacks to have css elements properly working in it… The common advice now is to only use CSS that is supported in the last two major versions of each major browser. You can check any css property's support here: https://caniuse.com/ > Imho this is a reason why markdown and other rich-textual formats appeared. Markdown is a superset of html and through it contains css through the... - Source: Hacker News / 21 days ago
Thank you, heartfelt... For sharing an artwork, a miracle! Just in case, have you considered publishing the work at platforms as CodePen, where genius Artists/People express their art, too, as you?: // https://codepen.io/. - Source: Hacker News / about 2 months ago
Embed on DEV: If you prefer CodePen embed, create a Pen with that HTML and add to the post as: {% codepen https://codepen.io//pen/ %}. - Source: dev.to / 10 months ago
CodePen is where creativity meets frontend code. You can write HTML, CSS, and JavaScript and see results instantly in the browser. - Source: dev.to / about 1 year ago
For those preferring agent-based approaches, Replit Agent shines. Khris Steven, Founder of KhrisDigital Marketing, notes, "You can simply describe what you want your app to do in plain English, and Replit Agent will generate the code and deploy it." This natural language interface fosters collaboration, turning ideas into deployable apps in minutes. - 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 / 6 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
JSFiddle - Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.
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.
CodeSandbox - Online playground for React
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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.