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@databrickslabs

Databricks Labs

Labs projects to accelerate use cases on the Databricks Unified Analytics Platform

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  1. ucx ucx Public

    Automated migrations to Unity Catalog

    Python 296 100

  2. dolly dolly Public

    Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

    Python 10.8k 1.1k

  3. mosaic mosaic Public

    An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.

    Jupyter Notebook 318 86

  4. blueprint blueprint Public

    Baseline for Databricks Labs projects written in Python

    Python 59 15

Repositories

Showing 10 of 42 repositories
  • ontos Public

    A Business Catalog for Unity Catalog

    databrickslabs/ontos’s past year of commit activity
    Python 122 33 50 1 Updated Mar 17, 2026
  • dqx Public

    Databricks framework to validate Data Quality of pySpark DataFrames and Tables

    databrickslabs/dqx’s past year of commit activity
    Python 387 97 63 (16 issues need help) 17 Updated Mar 17, 2026
  • kasal Public
    databrickslabs/kasal’s past year of commit activity
    Python 72 31 27 9 Updated Mar 17, 2026
  • lakebridge Public

    Accelerates migrations to Databricks by automating key migration activities

    databrickslabs/lakebridge’s past year of commit activity
    Python 125 91 284 (3 issues need help) 15 Updated Mar 17, 2026
  • lakeflow-community-connectors Public
    databrickslabs/lakeflow-community-connectors’s past year of commit activity
    Python 17 65 2 18 Updated Mar 17, 2026
  • sandbox Public

    Experimental labs projects

    databrickslabs/sandbox’s past year of commit activity
    Python 64 53 27 23 Updated Mar 16, 2026
  • mosaic Public

    An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.

    databrickslabs/mosaic’s past year of commit activity
    Jupyter Notebook 318 86 62 18 Updated Mar 14, 2026
  • dbldatagen Public

    Generate 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 activity
    Python 448 90 32 15 Updated Mar 13, 2026
  • blueprint Public

    Baseline for Databricks Labs projects written in Python

    databrickslabs/blueprint’s past year of commit activity
    Python 59 15 22 7 Updated Mar 13, 2026
  • lsql Public

    Lightweight SQL execution wrapper only on top of Databricks SDK

    databrickslabs/lsql’s past year of commit activity
    Python 31 6 53 (1 issue needs help) 8 Updated Mar 13, 2026
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