FabricJS VS Plotly

FabricJS Reviews

Plotly Reviews

FabricJS mentions (30)

• Fun, Beautiful, Printable 'Story Cards' for Kids with Cloudflare AI

  This AI-powered Story Card Maker is built as a SvelteKit application with Typescript. Using Flowbite Svelte component library, the whole application was laid out. The layout for the Story Card (emulating the size of a postcard - 4" x 3") is created as an HTML Canvas using Fabric.js. - Source: dev.to / 20 days ago

• JSON Canvas – An open file format for infinite canvas data

  The canvas in Obsidian is as the whole app very well made. I wondered what they are using as well. My guess is https://www.xyflow.com/, which is for drawing nodes. More general purpose would be http://fabricjs.com/. Or very low level https://pixijs.com/. - Source: Hacker News / about 2 months ago

• Step by step on how to setup fabric.js in the next.js app

  Fabric.js is a powerful and simple Javascript HTML5 canvas library. It provides an interactive object model on top of the canvas element. Fabric also has SVG-to-canvas (and canvas-to-SVG) parser. - Source: dev.to / 7 months ago

• Building application Like Canva in ReactJS

  I'm actually in the process of building something similar. It's a React app and I'm using the FabricJs library. Source: 10 months ago

• How can I build a configurator like this ?

  I've played with this tech in early 2010s - they are using HTML5 Canvas tech + something like Fabric.js(http://fabricjs.com/) that controls Canvas objects. Source: 12 months ago

Plotly mentions (29)

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago

• Junior Developer asked to make Saaas in first month.

  If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago

• Wait, but I thought they were the same thing?

  I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago

• Storing your data in a Plotly Dash data dashboard

  Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago