253a01aa26
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.
15 lines
760 B
Text
15 lines
760 B
Text
Cubes is a light-weight Python framework and set of tools for Online Analytical
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Processing (OLAP), multidimensional analysis and browsing of aggregated data.
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Features:
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* OLAP and aggregated browsing (default backend is for relational databse -
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ROLAP)
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* multidimensional analysis
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* logical view of analysed data - how analysts look at data, how they think of
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data, not not how the data are physically implemented in the data stores
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* hierarchical dimensions (attributes that have hierarchical dependencies, such
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as category-subcategory or country-region)
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* localizable metadata and data
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* SQL query generator for multidimensional aggregation queries
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* OLAP server - HTTP server based on Flask Blueprint, can be easily integrated
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into your application.
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