Max Packages
Data Knot
Developed by long-time Max contributor Rodrigo Costanzo (co-author of the karma package), Data Knot builds on the power of FluCoMa to provide a set practical and inspiring machine-learning tools purpose-built for performing musicians.
Learn MoreSynthesis Packages
gtm.markov
by George Meikle
gtm.markov is built around two external objects for generating second-order Markov chains, which were developed using RNBO and codebox.
GLRepl
by Tom Whiston
OpenGL REPL for creating livecoding style interactions with Max patches
FFTease
by Eric Lyon & Christopher Penrose
A collection of externals that process audio in the spectral domain.
modulo
by Francesco Di Maggio
A Toolkit for Tinkering with Digital Musical Instruments. Think of it as a "Lego" set for your musical ideas.
ears
by Daniele Ghisi
ears: a library for off-line algorithmic audio manipulation.
Auzzie
by John Gibson
Auzzie is an easy-to-use audio toolkit modeled on Vizzie.
PnP.Maxtools
by Austin Franklin
Objects designed for the real-time automation of control parameters to compose music or improvise without the use of external controllers or hardware.
RNBO Guitar Pedals
by Manuel Poletti & Cycling '74
A series of classic guitar processing effects built in RNBO.
RNBO Synth Building Blocks
by Cycling '74
A set of handy abstractions and instructive examples for building synthesizers in RNBO.
FluidCorpusManipulation
by FluCoMa
Fluid Corpus Manipulation instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital composition process -- a DSP and machine learning toolset.
FrameLib
by Alex Harker
Library for arbitrary-rate arbitrary-size frame processing
HISSTools Impulse Response Toolbox (HIRT)
by Alex Harker, Pierre Alexandre Tremblay, CeReNeM & University of Huddersfield
A set of tools for working with convolution and impulse responses in Max. This set of objects addresses various tasks, including realtime zero-latency convolution, measuring impulse responses, spectral display from realtime data or buffers, and buffer-based convolution, deconvolution and inversion.
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