
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Ray.so
Carbon
Codeimg.io
Snappify
Karbonized
Codespace
30 seconds of code
kod.so
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.
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Ray.so might be a bit more popular than Plotly. We know about 34 links to it since March 2021 and only 34 links to 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.
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 / almost 2 years 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
I share code snippets on LinkedIn and Twitter fairly often. Plain screenshots get scrolled past. Ray.so takes the same code and wraps it in a clean dark card with syntax highlighting. The difference in engagement is measurable. Same content, better presentation — more clicks, more reads, more followers. Best for: Twitter/LinkedIn code posts, portfolio screenshots My go-to theme: Midnight with a dark window... - Source: dev.to / 5 months ago
Then I tried the free classics - Ray.so and Carbon.now.sh. - Source: dev.to / 6 months ago
Turn your code into beautiful, shareable images in seconds. 🔗 https://ray.so. - Source: dev.to / about 1 year ago
Visit Ray.so, paste your code, and select your preferred settings. - Source: dev.to / almost 2 years ago
Ray.so is a great website for creating beautiful images of code, and there is a community extension that adds a command directly into Raycast to create a snapshot of whatever code you have selected. - Source: dev.to / about 2 years ago
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.
Carbon - Create and share beautiful images of your source code.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Codeimg.io - Create and share images of your source code
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.
Snappify - snappify is a great tool to create and adjust beautiful code snippets easily.