Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Puter
daedalOS
Windows 96
Google Chrome
Win7 Simu
WebVR Experiments by Google
React95
Dropbox
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, Plotly should be more popular than Puter. It has been mentiond 34 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.
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
I'm extremely excited to announce that Puter which was first announced on this subreddit is now in beta. Source: about 3 years ago
How did you make puter.com run a file,what format does it need to be in. Source: about 3 years ago
Around two months ago my startup Puter hit #1 on Hacker News. Source: over 3 years ago
If puter.com becomes a subscription service, then it will have a revenue stream separate from advertising. If the service is free, then the users are the product (attention being sold to the highest advertising bidder). Source: over 3 years ago
Thanks! None is exactly what I'm looking for, but they look very processing. I actually found another one after I wrote the post called Puter https://puter.com/ that looks interesting, but it's in alpha. Source: over 3 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.
daedalOS - daedalOS is a recreation of the desktop environment experience on the web.https://dustinbrett.com/
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Windows 96 - Windows 96 is a recreation of Windows 98 in the browser.
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.
Google Chrome - Google Chrome is a fast, secure, and free web browser, built for the modern web. Give it a try on your desktop today.