Plotly
D3.js
Chart.js
RAWGraphs
Highcharts
Google Charts
Tableau
Microsoft Power BI
Vectary
Sketchfab
Zakeke
ThreeKit
Viz4D
Blender
Sketchfab VR
Sketchfab configurator
Plotly VectaryPlotly 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.
Vectary is recommended for designers, artists, educators, and anyone in need of a straightforward 3D design tool. It's particularly useful for those involved in visualization projects, prototyping, and creative content creation, as well as educators seeking an easy-to-use tool for teaching 3D concepts.
Based on our record, Plotly seems to be a lot more popular than Vectary. While we know about 33 links to Plotly, we've tracked only 2 mentions of Vectary. 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.
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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
It's just a cool tech demo that pushes CSS to its limits, but it's completely useless if you want to create usable 3d models. If you want to model in the browser, you can check out vectary, playcanvas, or spline. Source: about 2 years ago
Yes, it says "A nice 3D render" in the caption. I rendered it on vectary.com. It's a pretty cool tool if you don't have fancy 3D software on your computer. Source: about 4 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.
Sketchfab - Sketchfab is an industrial design software tool is useful for ideation and for beginners in the industrial design field.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Zakeke - Zakeke is an all-in-one Visual Commerce Platform that empowers eCommerce businesses with live product customization, advanced 3D visualization, immersive Augmented Reality and Virtual Try-On.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ThreeKit - Threekit's product configurator enables you to visualize products in photorealistic 2D, 3D and augmented reality, all from a single design file.