This package contains libraries used by Evolution.

NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples.

The codegen module converts a abstract syntax tree (AST) back into Python source code. This is useful for debugging purposes, especially when dealing with custom ASTs not generated by Python itself.

Gnuplot.py is a Python module that interfaces to gnuplot, the popular plotting program. It allows you to use gnuplot from within Python to plot arrays of data from memory, data files, or mathematical functions. If you use Python to perform computations or as `glue' for numerical programs, you can use this module to plot data on the fly as they are computed. And the combination with Python makes it is easy to automate things, including to create crude `animations' by plotting different datasets one after another.

convertible provides a typeclass with a single function that is designed to help convert between different types: numeric values, dates and times, and the like. The conversions perform bounds checking and return a pure Either value. This means that you need not remember which specific function performs the conversion you desire.

Run a WSGI application on top of asyncio event loop. This script uses Python aiohttp-wsgi module to run existing WSGI applications within the event loop without further changes.