Architecture

Introduction

The GALACTIC project is architected using Python’s capability to detect extensions through the mechanism of entry points. This architecture has allowed us to develop a core that is agnostic of its extensions, offering developers the ability to add their own description mechanisms or exploration strategies.

The list of 🐍 python 📦 packages, organised by theme, is available.

Extensions

The core of GALACTIC is divided into several layers onto which extensions can be added:

• characteristics that allow the extraction of any type of value from the data;

• descriptions that describe a set of values (and thus data) through the boundaries of a generalized convex hull

• strategies that explore a dataset by focusing on groups that satisfy certain monadic predicates

• measures that feed meta-strategies

• data readers that enable the reading of any type of file to populate datasets