cubes
Note: This project is no longer maintained. Cubes is a lightweight Python framework for Online Analytical Processing (OLAP) and multidimensional data analysis. It provides tools for aggregating, browsing, and exploring data using a logical model that abstracts over physical database storage, offering analysts a natural, human-friendly way to interact with multidimensional data. Key features include OLAP and aggregated browsing with a default ROLAP relational database backend, support for hierarchical dimensions with parent-child relationships, localizable metadata and data, a SQL query generator for multidimensional aggregation queries, and an OLAP server built on Flask Blueprint for easy integration into existing applications. The logical model layer separates how analysts conceptualize data from how it is physically stored. Common use cases include building analytical reporting tools, creating data exploration dashboards, performing slice-and-dice analysis on warehouses, and exposing multidimensional data t