Guided evolution for data transformation projects
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Updated
Oct 5, 2026 - Python
Guided evolution for data transformation projects
Open-source, local-first, AI-native personal finance platform built on DuckDB
Entity-first spec compiler — declarative entity/mapping/metric specs, compiled deterministically
MCP server exposing a SQLMesh project to LLM agents, model metadata, plans, column-level lineage, audits, environment diffs.
SQLMesh package for enforcing Semantic Rails contracts
Command-line client for dagctl, the hosted SQLMesh service. Sign in, choose a project, and run SQLMesh against managed state.
A research thesis & reference build for data agents: route requests through declared metrics, policy, verification, and lineage instead of free-form SQL. Measured across 5 datasets and up to 9 local models.
Your models are just SQL files. Branch your warehouse like you branch your code.
A python package including loading patterns for Data Vault 2 automation with sqlmesh. Authored and maintained by Scalefree International GmbH.
End-to-end risk data engineering pipeline with SQLMesh, DuckDB, Python analytics, audits, and financial risk metrics.
A demonstration of an easy-to-start, end-to-end business intelligence pipeline using modern data engineering tools.
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