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Publisher

malloydatabymalloydata
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132
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Gestión de Bases de Datos
Ciencia de Datos y ML
Analíticas y Monitorización

Defines and serves data models over MCP and REST to AI agents, applications, and BI tools, enabling consistent analytics across platforms.

Malloy Publisher is the open-source analytics engine for Malloy, designed for the AI era. It allows users to define data models once, specifying data sources, joins, measures, and access controls in Malloy. This single, validated model is then served via MCP and REST APIs to various consumers, including AI agents, applications, and business intelligence tools. Publisher streamlines the modern data stack by combining modeling, a query engine, materialization, access control, and an API into one unified server, ensuring consistent, governed, and optimized data insights.

Características Principales

01Unified analytics engine combining modeling, query, materialization, and API in one server.
02Serve data models over MCP and REST to AI agents, applications, and BI tools.
03Declarative data modeling in Malloy with agent-assisted model building and validation.
04Built-in dashboards, no-build HTML data apps, and a Console for diverse data surfacing.
05Robust governance features including row-level access, access filters, and discovery curation.
06111 GitHub stars

Casos de Uso

01Building and serving consistent, governed data models for AI agents and applications.
02Developing interactive dashboards and data applications from a single source of truth.
03Optimizing and materializing complex analytical queries for improved performance.