Path to this page:
./
devel/py-cubes,
Lightweight framework for Online Analytical Processing
Branch: pkgsrc-2020Q3,
Version: 1.1,
Package name: py37-cubes-1.1,
Maintainer: pkgsrc-usersCubes is a light-weight Python framework and set of tools for Online Analytical
Processing (OLAP), multidimensional analysis and browsing of aggregated data.
Features:
* OLAP and aggregated browsing (default backend is for relational databse -
ROLAP)
* multidimensional analysis
* logical view of analysed data - how analysts look at data, how they think of
data, not not how the data are physically implemented in the data stores
* hierarchical dimensions (attributes that have hierarchical dependencies, such
as category-subcategory or country-region)
* localizable metadata and data
* SQL query generator for multidimensional aggregation queries
* OLAP server - HTTP server based on Flask Blueprint, can be easily integrated
into your application.
Master sites:
SHA1: d28d3a88f59542c1a0d3e0e37b96c37cdb5f2fc2
RMD160: a01cf288ba56341abae7aba1e61810a686e6ec0b
Filesize: 125.725 KB
Version history: (Expand)
- (2020-10-10) Package added to pkgsrc.se, version py37-cubes-1.1 (created)