olap-cube

Business Intelligence (BI) in Python, OLAP

TinyOlap is a light-weight, in-process, in-memory, multi-dimensional, model-first OLAP engine for planning, budgeting, reporting, analysis and many other numerical purposes, written in plain Python.

This is a business intelligence project on analyzing super market data. Check out the README file for more details.

Build and deploy automated to SQL Server Analysis Services (SSAS) with Python.

PoC using OpenAI API via LangChain to create SPARQL queries that query RDF cubes

Open Mining Language (OML), language to preprocess Olap Cubes

"Decision Support System - Module II: Laboratory of Data Science" Class' Team Project - MSc in Data Science and Business Informatics @ University of Pisa

Official Python 3 client for SlicingDice, Data Warehouse and Analytics Database as a Service.

Set of small scripts to interact with easyRedmine over REST API and MySQL connection

Official Python 2 client for SlicingDice, Data Warehouse and Analytics Database as a Service.

This repository contains HWs of data mining course

Реализация MCP-сервера для работы с многомерными данными "Форсайт. Аналитической платформы" на естественном языке и создания ИИ-агентов для BI-анализа.

This is a FORK, revival and expansion of the Cubes OLAP Framework by Stefan Urbanek. It is a light-weight OLAP framework created in Python and designed for multi-dimensional data analysis

OLAP ETL Project for College