Labs projects to accelerate use cases on the Databricks Unified Analytics Platform
Automated migrations to Unity Catalog
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
Baseline for Databricks Labs projects written in Python
Metadata driven Databricks Delta Live Tables framework for bronze/silver pipelines
databrickslabs/dlt-meta’s past year of commit activityDatabricks framework to validate Data Quality of pySpark DataFrames
databrickslabs/dqx’s past year of commit activityAutomated migrations to Unity Catalog
databrickslabs/ucx’s past year of commit activityAccelerates migrations to Databricks by automating key migration activities
databrickslabs/lakebridge’s past year of commit activityExperimental labs projects
databrickslabs/sandbox’s past year of commit activityLightweight SQL execution wrapper only on top of Databricks SDK
databrickslabs/lsql’s past year of commit activityGenerate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
databrickslabs/dbldatagen’s past year of commit activityAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
databrickslabs/tempo’s past year of commit activityPython Testing for Databricks
databrickslabs/pytester’s past year of commit activity Python 92 10 38 0 Updated Aug 7, 2025Baseline for Databricks Labs projects written in Python
databrickslabs/blueprint’s past year of commit activity Python 49 12 17 6 Updated Aug 6, 2025Loading…
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