DOCE: Design Of Computational Experiments

Doce is a python library designed to help you handling the complexity of computational experiments.

Experimentation and testing are a fundamental part of scientific research. They're also extremely time-consuming, tedious, and error-prone unless properly managed. Doce is here to help you with the management, running and reporting of your experiments, letting you focus more on the creative part of your research work.

What can Doce can help you to do?

• Set up an experimental protocol once, and re-run it as often as needed with minimum hassle using new data, modified code, or alternative hypotheses.
• Systematically explore many combinations of operational parameters in a system.
• Re-use earlier results to only compute the later stages of a process, thus cutting down the running time.
• Automatically produce analysis tables.
• Ease the production of paper-ready displays.
• Keep experimental code, data and results organized in a standardized way, to ease cooperation with others and allow you to go back painlessly on months-old or years-old work.

Documentation

See https://doce.readthedocs.io/ for a complete reference manual and an introductory tutorial.

The tutorial should give you a quick sense of what doce can do for you.

Installation

Using PyPI

The latest stable release is available on PyPI, and you can install it by saying

python -m pip install doce

Using Git

The latest version is available on GitHub, and you can install it by saying

git clone git@github.com:mathieulagrange/doce.git