olap-engine

https://github.com/Shannon-Data/ShannonBase

Browser-based data analytics & BI with DuckDB-WASM. Privacy-first: your data stays local; no server required.

Modern, open-source event-processing

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.

🛰 Metad® Open Platform for Enterprise Data Analysis, Indicator Management and Reporting

Zeus is an open-source, analytical engine for big data hold in data lake; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. You can use Zeus to store, query, analysis, and manage data.

CowsDB: Serverless OLAP Engine API and 100% ClickHouse alternative for CI and HTTP Services

Native Go bindings for chDB, an in-process SQL OLAP Engine powered by ClickHouse

A fast distributed SQL query engine

Two‑level graph pruning (static & dynamic) for deterministic, AI‑friendly SQL generation on relational databases.

Analyze the Chicago Crime Dataset using SQL queries in Google BigQuery to uncover insights and trends, supporting informed decision-making for law enforcement and community stakeholders.

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