Open Source Lua System Software

Main goals: * Prepare operating system based on Linux kernel and free software for use at home from scratch by building sources. Binary packages/images are also available. * Each package is installed in separate directory, so you can use different versions of applications and libraries by design. * There is only one user 'kanapi' with root permissions, so you don't have to login, remember passwords, etc. * Simple configuration * Automatic compilation.

LuaDist is a CMake built module distribution and deployment tool for the Lua programming language. It aims to achieve zero configuration runtime environment for Lua modules and libraries be it source or binary.

Pi64 is not an emulator, it just mimics the 80's classic 8bit computers with SDL based graphics and RtAudio based sound. The fullscreen editor for shell and the built-in program editor help you create your own programs and games. Programming language is LUA, but Pi64 is open for any library plugins written in your favourite language. Source was written in pure C, so should compile on Windows, Mac OS X and Linux without issues.

Tcl-Pkg is a GUI application written in Tcl/Tk. It gives you informations about Tcl-related software on the Internet. Then you will find their updates and download them. This is also the home of Lua-Markdoc, a documentation tool written in Lua.

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. This project is a fork of SpikeOS (sourceforge.net/projects/spikeos) and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.