Open Source · Apache 2.0

Data contracts that execute, not just document.

Define your data product in YAML. LakeLogic enforces it at pipeline time — bad rows are quarantined the moment they appear, not three dashboards later. Same contract runs on Polars, Spark, or DuckDB.

14K+ installs · Apache 2.0

lakelogicoss.ipynb
Python 3.12
1

What's in the box

One contract. Three engines.

Auto-discovers the best engine for your environment. SQL-first quality gates from Polars to petabytes.

Runtime Data Contracts

Enforce schema, quality rules, and business logic during data movement — not after. YAML, version-controlled, engine-agnostic.

Quarantine Bad Data

Automatically detour invalid rows in real-time. Bad data is isolated, tagged, and triaged — never silently dropped.

Medallion Architecture

Quality gate between Bronze → Silver → Gold. Clean the front door of your lakehouse with shift-left data quality.

Materialization Strategies

Append, merge, SCD2, or overwrite. Native Spark operations at petabyte scale. Same contract, different strategies.

Polars
Local speed
Spark
Distributed scale
DuckDB
Analytical SQL

Two Products · One Vision

Outgrow the OSS? Bring it to Cloud.

LakeLogic Open Source is free forever. When you need Zeus AI, visual lineage, governance, and team workflows — drop your YAML straight into LakeLogic Cloud.

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Stay on OSS

Apache 2.0 · runs on Polars, Spark, or DuckDB · 90+ runnable examples · zero vendor lock-in.

Browse the repo
Migration Path

Already using the OSS reference architecture? Drag and drop your docs/contracts/*.yaml folder straight into LakeLogic Cloud.

Bulk import contracts
LakeLogic

LakeLogic is a Git-native data contract platform that turns quality and governance rules into deployment gates, preventing bad data from reaching production.

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