
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Vuo
Processing
Pure Data
TouchDesigner
Nodebox
Vvvv
OpenFrameworks
Cinder
Vuo is a kit for making a million different projects โ apps, videos, prototypes, plugins, exhibits, live performance effects, and more. Even if you don't have programming experience, Vuo lets you build your own stuff for Mac.
Plotly
VuoPlotly 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 seems to be a lot more popular than Vuo. While we know about 34 links to Plotly, we've tracked only 2 mentions of Vuo. 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 / 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
Thought I'd share my thoughts of building a native Mac app using a pretty niche tool โ using a nocode tool called Vuo, and in the process, share a little perspective from someone who's used no-code tools for many, many years and seen similar patterns. Source: almost 5 years ago
For those interested, I'm building this using a (mostly) odd no-code tool called Vuo. A Windows version is on the mapโฆsometimeโฆso yes, obviously this is not really for gamers (who are primarily on Windows anyway), but more for those streaming artwork, or doing online teaching etc. Source: almost 5 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.
Processing - C++ and Java programming at the speed of thought.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...
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.
TouchDesigner - TouchDesigner is a visual development platform that equips you with the tools you need to create stunning realtime projects and rich user experiences.