GithubHelp home page GithubHelp logo

eggsemm's Introduction

Eggsemm Renoise to XM exporter

(c) 2016 Alex Shaw aka aldroid of slipstream

At least one other tool exists that exports Renoise modules to FastTracker XM format, but I couldn't figure out how to get it to compile on a mac so I wrote my own. It's extremely limited, it needs a lot of tweaking after export, but if you don't have any other alternatives it's better than a poke in the face.

Stuff it currently does:

  • Exports patterns
  • Exports volume levels
  • Exports single-sample instruments correctly, and multi-sample instruments badly

Stuff that's currently broken:

  • Tuning. Oh boy I made a mess of that
  • Effect columns. Nope, couldn't be bothered
  • Error reporting. Sometimes something's just broken

This exporter is provided under the MIT license. It's effectively abandonware, I have better things to do than maintain this little plugin, but I would gladly accept pull requests from anyone that wants to fix any of the million things that are wrong, to make effects work nicely or tune the instruments in a sensible way.

How to include in Renoise

There should be an xrnx file in the Releases section in github. That's the easiest way to install. If you want to build it yourlself, just clone the repository and add the source to the RENOISE_PREFERENCES/Scripts/Tools/__My Tools__/Eggsemm directory.

eggsemm's People

Contributors

glastonbridge avatar

Stargazers

 avatar  avatar

Watchers

 avatar

eggsemm's Issues

Effect column translation

I have in mind a pluggable XMEffectsTable that works a bit like this

effects = XMEffectsTable()
effects.put({
  renoisecode=0x0F,
  converter= function(value) 
    return { xmcode=0x15, xmvalue=math.floor(value/2) }
  end
})

local translated = effects.translate(0x0F, 0x30)
print("Translated code is "..translated.xmcode..":"..translated.xmvalue)

Not fussed really though, the situation I'd like to avoid would be if the translation function became a giant unreadable monolith copied straight from the spec docs.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.