| databrickslabs/dolly | Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform | 10,802 | Python |
| databrickslabs/dbx | 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management. | 455 | Python |
| databrickslabs/dbldatagen | 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 | 444 | Python |
| databrickslabs/mosaic | An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets. | 318 | Jupyter Notebook |
| databrickslabs/ucx | Automated migrations to Unity Catalog | 296 | Python |
| databrickslabs/dlt-meta | Metadata driven Spark Declarative Pipelines framework for bronze/silver pipelines | 246 | Python |
| databrickslabs/overwatch | THIS PROJECT IS DEPRECATED. Capture deep metrics on one or all assets within a Databricks workspace | 232 | Scala |
| databrickslabs/cicd-templates | Manage your Databricks deployments and CI with code. | 203 | Python |
| databrickslabs/migrate | Old scripts for one-off ST-to-E2 migrations. Use "terraform exporter" linked in the readme. | 194 | Python |
| databrickslabs/automl-toolkit | Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability. | 192 | HTML |
| databrickslabs/dataframe-rules-engine | Extensible Rules Engine for custom Dataframe / Dataset validation | 138 | Scala |
| databrickslabs/discoverx | A Swiss-Army-knife for your Data Intelligence platform administration. | 137 | Python |
| databrickslabs/lakebridge | Accelerates migrations to Databricks by automating key migration activities | 124 | Python |
| databrickslabs/ontos | A Business Catalog for Unity Catalog | 119 | Python |
| databrickslabs/pytester | Python Testing for Databricks | 116 | Python |
| databrickslabs/geoscan | Geospatial clustering at massive scale | 109 | Scala |
| databrickslabs/mcp | — | 85 | Python |
| databrickslabs/brickster | R Toolkit for Databricks | 77 | R |
| databrickslabs/jupyterlab-integration | DEPRECATED: Integrating Jupyter with Databricks via SSH | 70 | HTML |
| databrickslabs/kasal | — | 67 | Python |
| databrickslabs/sandbox | Experimental labs projects | 61 | Python |
| databrickslabs/feature-factory | Accelerator to rapidly deploy customized features for your business | 56 | Python |
| databrickslabs/doc-qa | — | 52 | Python |
| databrickslabs/databricks-sync | An experimental tool to synchronize source Databricks deployment with a target Databricks deployment. | 48 | Python |
| databrickslabs/transpiler | SIEM-to-Spark Transpiler | 44 | Scala |
| databrickslabs/delta-oms | DeltaOMS is a solution that help build a centralized repository of Delta Transaction logs and associated operational metrics/statistics for your Delta Lakehouse. Unity Catalog supported in the v0.7.0-rc1 release.Documentation here - https://databrickslabs.github.io/delta-oms/v0.7.0-rc1/ | 39 | Scala |
| databrickslabs/pylint-plugin | Databricks Plugin for PyLint | 30 | Python |
| databrickslabs/splunk-integration | Databricks Add-on for Splunk | 29 | Python |
| databrickslabs/databricks-sdk-r | Databricks SDK for R (Experimental) | 24 | R |
| databrickslabs/arcuate | Delta Sharing + MLflow for ML model & experiment exchange (arcuate delta - a fan shaped river delta) | 22 | Python |
| databrickslabs/tika-ocr | — | 21 | Rich Text Format |
| databrickslabs/lakeflow-community-connectors | — | 17 | Python |
| databrickslabs/delta-sharing-java-connector | A Java connector for delta.io/sharing/ that allows you to easily ingest data on any JVM. | 15 | Java |
| databrickslabs/partner-connect-api | — | 12 | Scala |
| databrickslabs/chatx | — | 11 | Python |
| databrickslabs/waterbear | Automated provisioning of an industry Lakehouse with enterprise data model | 8 | Python |
| databrickslabs/access-insights | — | 7 | Python |