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Python computational experiment management

Project Description
epyc: Python computational experiment management


``epyc`` is a Python module for controlling a long-running series of
computational experiments, as is often found when writing simulations
of complex networks and other such domains. There is often a need to
perform a computation across a multi-dimensional parameter space,
varying the parameters, performing and aggregating multiple
repetitions, and wrangling results for analysis and
presentation. Often the experiments being performed are on such a
scale as to require the use of a computing cluster to perform multiple
experiments simultaneously.

Managing all these tasks is complicated, so ``epyc`` tries to automate
it. It provides a way to define a "laboratory" performing a collection
of "experiments" whose parameters and results are recorded in a "lab
notebook" for later retrieval. Laboratories can be sequential (for a
single machine) or parallel (to use a multicore or cluster of
machines); lab notebooks can be persistent to allow experiments to be
fired-off and their results retrieved later -- handy if you use a
laptop. Notebooks store all the data and metadata in a portable format
to improve the reproducibility of computational experiments.

``epyc`` also includes a small number of "experiment combinators" that
separate the logic of a single experiment from the logic of performing
multiple repetitions and other structuring tasks. This means that
any experiment can be repeated and statistically summarised, for


You can install ``epyc`` directly from PyPi using ``pip``:


pip install epyc

The master distribution of ``epyc`` is hosted on GitHub. To obtain a
copy, just clone the repo:


git clone
cd epyc
python install


The ``doc/`` directory contains an IPython notebook that describes the
use of ``epyc`` in detail. You can also read it directly
online <>.

Author and license

Copyright (c) 2016, Simon Dobson <>

Licensed under the `GNU General Public Licence v.2.0 <>`.
Release History

Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
epyc-0.10.1.tar.gz (173.6 kB) Copy SHA256 Checksum SHA256 Source Jun 23, 2017

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