TouchDesigner
MadMapper
Pure Data
Resolume
QLab
VPT
HeavyM
Modul8
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
TouchDesigner
MatplotlibBased on our record, Matplotlib should be more popular than TouchDesigner. It has been mentiond 114 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.
I use TouchDesigner โ a nod-based environment from Derivative where you build everything from nodes: CHOPs for data, SOPs for geometry, TOPs for textures, COMPs for components. You can do generative art, data visualization, VJ sets, interactive installations, real-time video processing. Download it free โ the non-commercial license covers most use cases. - Source: dev.to / about 2 months ago
Https://derivative.ca/ (Both packages have a shared origin I believe). - Source: Hacker News / about 1 year ago
I think this general class of software is called Show Control. There are commercial and open source projects that also do it in some form: https://en.wikipedia.org/wiki/MIDI_Show_Control https://v-control.com/ https://qlab.app/ https://troikatronix.com/ https://derivative.ca/ Plus a variety of Video DJ platforms like VDMX, Arkaos, GrandVJ, which have some of this functionality, and then a lot of free and... - Source: Hacker News / about 1 year ago
Will it be something like TouchDesigner[1] ? I never used it myself, but I follow a lot of creative types who make music visualizations, and art installations with it. I can't find it on Github though, maybe repo is private ? [1] https://derivative.ca/. - Source: Hacker News / almost 2 years ago
โ Resolume โ NestMap โ TouchDesigner โ MadMapper โ Any other software listed on the Spout website. Source: about 3 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 5 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 8 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
MadMapper - The Mapping Software
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...
NumPy - NumPy is the fundamental package for scientific computing with Python
Resolume - Resolume is an application for live video performances.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.