# DataBrewery/cubes

[NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis

Repository: https://github.com/DataBrewery/cubes
Canonical: https://ross.abutalabs.com/products/cubes
Homepage: http://cubes.databrewery.org
Language: Python
License: NOASSERTION
License Family: other
Topics: olap, data, data-warehouse, sql, multidimensional-analysis, cube, data-analysis
Last push: 2022-04-29T06:53:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5714, "days_push": 1587, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1480, forks 312 (observed 2026-08-28T04:04:50.898968+00:00)

## What it is
Cubes is a lightweight Python framework for Online Analytical Processing (OLAP), providing multidimensional analysis and browsing of aggregated data. It includes a logical model abstraction over physical data stores, a SQL query generator for aggregation queries, and an HTTP OLAP server built on a Flask Blueprint.

## Use cases
- build an OLAP server over a relational database
- browse aggregated data with hierarchical dimensions
- give analysts a logical model over a data warehouse
- generate multidimensional SQL aggregation queries
- embed OLAP endpoints into a Flask application
- localize analytical metadata for multilingual users

## When to choose
- you need lightweight ROLAP-style multidimensional analysis in Python
- you want a logical abstraction layer over a SQL data warehouse
- you need an embeddable HTTP OLAP API in a Flask app

## When to avoid
- you need actively maintained software - the project is explicitly not maintained
- you need non-SQL backends like MongoDB out of the box
- you need modern Python version support beyond 2.7/3.4-era compatibility

## Facets
- artifact type: framework
- maturity: abandoned
- function: database, search-engine, api-framework, http-server
- domain: data-science, analytics, databases, big-data
- platform: python
- tags: olap, rolap, data-warehouse, multidimensional-analysis, sql, flask, not-maintained, data-engineering, web-server

## Member repositories
- DataBrewery/cubes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:50.898968+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:12.510369+00:00, confidence not recorded.
  - readme: https://github.com/DataBrewery/cubes (fetched 2026-08-28T04:04:50.898968+00:00, sha 386f4f936eb6)
- Data as of 2026-08-30T08:39:29.467469+00:00.