Pure Data might be a bit more popular than Plotly. We know about 38 links to it since March 2021 and only 29 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.
My most recommended method for beginners has always been PD (https://puredata.info/) combined with The Theory and Technique of Electronic Music: (https://msp.ucsd.edu/techniques/latest/book.pdf) and this book (https://mitpress.mit.edu/9780262014410/designing-sound/). Eli's tutorials on SuperCollider are also very helpful: https://www.youtube.com/@elifieldsteel Of course, my project Glicol can also be helpful for... - Source: Hacker News / 4 days ago
For node based workflows, check out Max or Pure Data. https://cycling74.com/products/max https://puredata.info/. - Source: Hacker News / 4 months ago
Tools like Ossia Score, Chataigne and PureData (pd) can also help a ton in building interactive art and triggering other A/V software. Source: about 1 year ago
WebPd is a highly modular compiler for audio programming language Pure Data allowing to run .pd patches on web pages. It converts the audio graph and processing objects from a patch into plain human-readable JavaScript or WebAssembly which can then be integrated directly into any web application. Source: about 1 year ago
You might also be interested in the very different Pure Data (http://puredata.info/) environment, which is also free and open-source. It uses a visual programming approach, which many people like but if you are already a programmer it might seem inconvenient in comparison. Source: about 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
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: about 1 year ago
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
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
SuperCollider - A real time audio synthesis engine, and an object-oriented programming language specialised for...
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.
TouchDesigner - TouchDesigner is a visual development platform that equips you with the tools you need to create stunning realtime projects and rich user experiences.
Chart.js - Easy, object oriented client side graphs for designers and developers.
VCV Rack - A cross-platform modular synthesizer.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application