dbt-labs/dbt
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
A star delta has been computed for 63,087 of 63,708 tracked repositories in this period, and only those can be ranked in it.
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Star counts measured between 09:42 and 00:58 (BKK).
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
The semantic layer that makes enterprise data understandable to AI agents — model entities and relations once, query through SPL/MCP/REST, and connect telemetry, services, and business objects in one object graph.
Design database schemas as ERDs in your browser, VS Code, JetBrains IDEs or Obsidian. Import SQL, DBML and GraphQL, export DDL and code, and let coding agents edit live over MCP.
Linked Open Data Modeling Language
MetricFlow allows you to define, build, and maintain metrics in code.
Build for agents — from the AI Gateway to the entire application stack.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Publisher is the open-source analytics engine for Malloy. It lets you define data models once — and use them everywhere.
Data querying library for testing JavaScript applications.
Visual ERD designer for dbt — design your data warehouse on a canvas, in your repo, where your AI assistant can read it. Free and open source.
ATTENTION: This repository is a clone of https://gitlab.structr.com/structr/structr. All development/issue tracking has moved there. | Structr is an integrated open-source low-code development and runtime environment that uses a graph database (Neo4j).
Typed struct and value objects
Create diagrams and plan your code with TypeScript.
Open-source BI for engineers
That's all 14 repositories in this period.