pdmtl
From Pdpedia
(Pure Data Montréal Abstractions)
The main concept of the PDMTL Abstractions is to group the abstractions by their function rather than their author. It is an answer to the disorder in the large amount of abstractions and externals for Pure Data. The library also proposes methods for unifying the usage of GOP (graph-on-parent), audio samples and much more. It is also intended as a wrapper for very useful externals for Pd that are often named badly or not well know.
Pure Data is designed to offer a wide range of low level objects. That is why we believe that higher level abstractions must be created and standardized for their use by beginners and advanced users as well. This accelerates the learning curve and makes it very fun and fast to use. The algorithms are hidden in the abstractions but are still very easy to read, as an abstraction can be opened and modified.
