A light-weight analytical engine for OLAP processing
Project description
# Babbage Analytical Engine
[![Build Status](https://travis-ci.org/spendb/babbage.svg?branch=master)](https://travis-ci.org/spendb/babbage) [![Coverage Status](https://coveralls.io/repos/spendb/babbage/badge.svg?branch=master&service=github)](https://coveralls.io/github/spendb/babbage?branch=master)
babbage is a lightweight implementation of an OLAP-style database query tool for PostgreSQL. Given a database schema and a logical model of the data, it can be used to perform analytical queries against that data - programmatically or via a web API.
It is heavily inspired by [Cubes](http://cubes.databrewery.org/) but has less ambitious goals, i.e. no pre-computation of aggregates, or multiple storage backends.
## Installation and test
babbage will normally included as a PyPI dependency, or installed via pip:
`bash $ pip install babbage `
People interested in contributing to the package should instead check out the source repository and then use the provided Makefile to install the library (this requires virtualenv to be installed):
`bash $ git clone https://github.com/spendb/babbage.git $ cd babbage $ make install $ make test `
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.