alga: Algorithmic automation for various DAWs
How to algorithmically control every aspect of music using familiar, robust tools: plugins, DAWs, etc. that have not been built with this in mind? I've partially solved the problem in MIDA — program that generates MIDI files using very simple and symmetric language. However, even though MIDA is a fine tool to create scores, it's not sufficient if you want to control everything. Initially I thought I could find some plugins that can algorithmically control other plugins, but there are no decent tools of this sort. How automation is handled in a traditional DAW? Well, you draw it in a separate track. Wouldn't it be a good idea to algorithmically perform exactly that: drawing of the automation track. This is simpler than it may seem: many DAWs allow to export tracks in XML format, and this is all we need to start our hacking.
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|Versions [faq]||0.1.0, 0.2.0, 0.2.1, 0.2.2|
|Dependencies||aeson (>=0.7 && <0.12), alga (>=0.2.2), base (>=4.8 && <5.0), containers (>=0.5.5.1 && <0.6), data-default (>=0.5.3 && <0.8), exceptions (==0.8.*), file-embed (>=0.0.9), filepath (>=220.127.116.11 && <1.5), formatting (>=6.2 && <7.0), haskeline (>=0.7.1.3 && <0.8), hxt (>=9.3.1 && <9.4), megaparsec (>=5.0 && <6.0), mtl (>=18.104.22.168 && <3.0), optparse-applicative (>=0.11 && <0.13), path (>=0.5.3 && <0.6), path-io (>=0.3.1 && <2.0), QuickCheck (>=2.8.2 && <2.10), random, semigroups (==0.18.*), text (>=22.214.171.124 && <1.3), tf-random (>=0.5 && <1.0), transformers (>=0.2.0.0 && <0.6), yaml (>=0.8.15 && <0.9) [details]|
|Copyright||Copyright © 2015–2016 Mark Karpov|
|Revised||Revision 1 made by HerbertValerioRiedel at 2019-05-20T18:50:18Z|
|Source repo||head: git clone https://github.com/mrkkrp/alga.git|
|Uploaded||by mrkkrp at 2016-09-10T13:32:15Z|
|Downloads||2709 total (3 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
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Last success reported on 2016-10-26 [all 1 reports]
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