• Stars
    star
    82
  • Rank 396,546 (Top 8 %)
  • Language
    Java
  • License
    Apache License 2.0
  • Created over 6 years ago
  • Updated over 1 year ago

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Repository Details

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spark-sklearn

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spark-csv

CSV Data Source for Apache Spark 1.x
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tensorframes

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
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devrel

This repository contains the notebooks and presentations we use for our Databricks Tech Talks
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reference-apps

Spark reference applications
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spark-xml

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spark-corenlp

Stanford CoreNLP wrapper for Apache Spark
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spark-training

Apache Spark training material
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databricks-cli

(Legacy) Command Line Interface for Databricks
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Performance tests for Apache Spark
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delta-live-tables-notebooks

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spark-knowledgebase

Spark Knowledge Base
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databricks-ml-examples

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sjsonnet

Scala
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jsonnet-style-guide

Databricks Jsonnet Coding Style Guide
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29

dbt-databricks

A dbt adapter for Databricks.
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30

databricks-sdk-py

Databricks SDK for Python (Beta)
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31

containers

Sample base images for Databricks Container Services
Dockerfile
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32

databricks-sql-python

Databricks SQL Connector for Python
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33

sbt-spark-package

Sbt plugin for Spark packages
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34

notebook-best-practices

An example showing how to apply software engineering best practices to Databricks notebooks.
Python
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35

databricks-vscode

VS Code extension for Databricks
TypeScript
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36

benchmarks

A place in which we publish scripts for reproducible benchmarks.
Python
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37

terraform-databricks-examples

Examples of using Terraform to deploy Databricks resources
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38

spark-tfocs

A Spark port of TFOCS: Templates for First-Order Conic Solvers (cvxr.com/tfocs)
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39

sbt-databricks

An sbt plugin for deploying code to Databricks Cloud
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40

terraform-databricks-lakehouse-blueprints

Set of Terraform automation templates and quickstart demos to jumpstart the design of a Lakehouse on Databricks. This project has incorporated best practices across the industries we work with to deliver composable modules to build a workspace to comply with the highest platform security and governance standards.
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41

spark-integration-tests

Integration tests for Spark
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42

genai-cookbook

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43

spark-pr-dashboard

Dashboard to aid in Spark pull request reviews
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44

run-notebook

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45

ide-best-practices

Best practices for working with Databricks from an IDE
Python
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46

unity-catalog-setup

Notebooks, terraform, tools to enable setting up Unity Catalog
45
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47

simr

Spark In MapReduce (SIMR) - launching Spark applications on existing Hadoop MapReduce infrastructure
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48

devbox

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49

databricks-sql-go

Golang database/sql driver for Databricks SQL.
Go
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50

diviner

Grouped time series forecasting engine
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51

cli

Databricks CLI
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52

tmm

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53

security-bucket-brigade

JavaScript
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54

databricks-sdk-go

Databricks SDK for Go
Go
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55

pig-on-spark

proof-of-concept implementation of Pig-on-Spark integrated at the logical node level
Scala
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56

databricks-sql-cli

CLI for querying Databricks SQL
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57

automl

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58

databricks-sql-nodejs

Databricks SQL Connector for Node.js
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59

tpch-dbgen

Patched version of dbgen
C
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60

als-benchmark-scripts

Scripts to benchmark distributed Alternative Least Squares (ALS)
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61

spark-package-cmd-tool

A command line tool for Spark packages
Python
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62

congruity

The goal of this library is to provide a compatibility layer that makes it easier to adopt Spark Connect. The library is designed to be simply imported in your application and will then monkey-patch the existing API to provide the legacy functionality.
Python
16
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63

python-interview

Databricks Python interview setup instructions
15
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64

xgb-regressor

MLflow XGBoost Regressor
Python
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65

databricks-accelerators

Accelerate the use of Databricks for customers [public repo]
Python
15
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66

tableau-connector

Scala
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67

files_in_repos

Python
12
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68

upload-dbfs-temp

TypeScript
12
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69

spark-sklearn-docs

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11
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70

sqltools-databricks-driver

SQLTools driver for Databricks SQL
TypeScript
11
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71

genomics-pipelines

secondary analysis pipelines parallelized with apache spark
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10
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72

workflows-examples

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73

databricks-sdk-java

Databricks SDK for Java
Java
10
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74

dais-cow-bff

Code for the "Path to Production" DAIS 2024 and 2023 talks
Jupyter Notebook
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75

xgboost-linux64

Databricks Private xgboost Linux64 fork
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76

mlflow-example-sklearn-elasticnet-wine

Jupyter Notebook
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77

databricks-ttyd

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setup-cli

Sets up the Databricks CLI in your GitHub Actions workflow.
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79

terraform-databricks-mlops-aws-project

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80

jenkins-job-builder

Fork of https://docs.openstack.org/infra/jenkins-job-builder/ to include unmerged patches
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81

terraform-databricks-mlops-azure-project-with-sp-creation

This module creates and configures service principals with appropriate permissions and entitlements to run CI/CD for a project, and creates a workspace directory as a container for project-specific resources for the Azure Databricks staging and prod workspaces. It also creates the relevant Azure Active Directory (AAD) applications for the service principals.
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82

terraform-databricks-sra

The Security Reference Architecture (SRA) implements typical security features as Terraform Templates that are deployed by most high-security organizations, and enforces controls for the largest risks that customers ask about most often.
HCL
4
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83

databricks-empty-ide-project

Empty IDE project used by the VSCode extension for Databricks
3
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84

databricks-repos-proxy

Python
2
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85

databricks-asset-bundles-dais2023

Python
2
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86

pex

Fork of pantsbuild/pex with a few Databricks-specific changes
Python
2
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87

SnpEff

Databricks snpeff fork
Java
2
star
88

notebook_gallery

Jupyter Notebook
2
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89

terraform-databricks-mlops-aws-infrastructure

This module sets up multi-workspace model registry between a Databricks AWS development (dev) workspace, staging workspace, and production (prod) workspace, allowing READ access from dev/staging workspaces to staging & prod model registries.
HCL
2
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90

expectations

Python
1
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91

homebrew-tap

Homebrew Tap for the Databricks CLI
Ruby
1
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92

terraform-databricks-mlops-azure-infrastructure-with-sp-creation

This module sets up multi-workspace model registry between an Azure Databricks development (dev) workspace, staging workspace, and production (prod) workspace, allowing READ access from dev/staging workspaces to staging & prod model registries. It also creates the relevant Azure Active Directory (AAD) applications for the service principals.
HCL
1
star
93

mfg_dlt_workshop

DLT Manufacturing Workshop
Python
1
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94

databricks-dbutils-scala

The Scala SDK for Databricks.
Scala
1
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95

kdd24-forecasting-anomaly-detection

Python
1
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96

terraform-databricks-mlops-azure-project-with-sp-linking

This module creates and configures service principals with appropriate permissions and entitlements to run CI/CD for a project, and creates a workspace directory as a container for project-specific resources for the Azure Databricks staging and prod workspaces. It also links pre-existing Azure Active Directory (AAD) applications to the service principals.
HCL
1
star
97

terraform-databricks-mlops-azure-infrastructure-with-sp-linking

This module sets up multi-workspace model registry between an Azure Databricks development (dev) workspace, staging workspace, and production (prod) workspace, allowing READ access from dev/staging workspaces to staging & prod model registries. It also links pre-existing Azure Active Directory (AAD) applications to the service principals.
HCL
1
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