Databricks (@databricks)

Top repositories

1

learning-spark

Example code from Learning Spark book
Java
3,864
star
2

koalas

Koalas: pandas API on Apache Spark
Python
3,317
star
3

Spark-The-Definitive-Guide

Spark: The Definitive Guide's Code Repository
Scala
2,678
star
4

scala-style-guide

Databricks Scala Coding Style Guide
2,673
star
5

spark-deep-learning

Deep Learning Pipelines for Apache Spark
Python
1,984
star
6

click

The "Command Line Interactive Controller for Kubernetes"
Rust
1,416
star
7

LearningSparkV2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
Scala
1,077
star
8

spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark
Python
1,076
star
9

spark-csv

CSV Data Source for Apache Spark 1.x
Scala
1,051
star
10

tensorframes

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Scala
751
star
11

devrel

This repository contains the notebooks and presentations we use for our Databricks Tech Talks
HTML
672
star
12

reference-apps

Spark reference applications
Scala
648
star
13

spark-redshift

Redshift data source for Apache Spark
Scala
598
star
14

spark-sql-perf

Scala
543
star
15

spark-avro

Avro Data Source for Apache Spark
Scala
538
star
16

spark-xml

XML data source for Spark SQL and DataFrames
Scala
481
star
17

spark-corenlp

Stanford CoreNLP wrapper for Apache Spark
Scala
424
star
18

spark-training

Apache Spark training material
Scala
396
star
19

databricks-cli

(Legacy) Command Line Interface for Databricks
Python
376
star
20

spark-perf

Performance tests for Apache Spark
Scala
372
star
21

terraform-provider-databricks

Databricks Terraform Provider
Go
333
star
22

spark-knowledgebase

Spark Knowledge Base
328
star
23

delta-live-tables-notebooks

Python
285
star
24

databricks-ml-examples

Python
284
star
25

sjsonnet

Scala
252
star
26

mlops-stacks

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
Python
243
star
27

jsonnet-style-guide

Databricks Jsonnet Coding Style Guide
205
star
28

databricks-sdk-py

Databricks SDK for Python (Beta)
Python
185
star
29

dbt-databricks

A dbt adapter for Databricks.
Python
179
star
30

containers

Sample base images for Databricks Container Services
Dockerfile
157
star
31

sbt-spark-package

Sbt plugin for Spark packages
Scala
150
star
32

databricks-sql-python

Databricks SQL Connector for Python
Python
125
star
33

benchmarks

A place in which we publish scripts for reproducible benchmarks.
Python
106
star
34

databricks-vscode

VS Code extension for Databricks
TypeScript
104
star
35

terraform-databricks-examples

Examples of using Terraform to deploy Databricks resources
HCL
103
star
36

notebook-best-practices

An example showing how to apply software engineering best practices to Databricks notebooks.
Python
102
star
37

spark-tfocs

A Spark port of TFOCS: Templates for First-Order Conic Solvers (cvxr.com/tfocs)
Scala
88
star
38

intellij-jsonnet

Intellij Jsonnet Plugin
Java
82
star
39

sbt-databricks

An sbt plugin for deploying code to Databricks Cloud
Scala
71
star
40

spark-integration-tests

Integration tests for Spark
Scala
68
star
41

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.
Python
61
star
42

spark-pr-dashboard

Dashboard to aid in Spark pull request reviews
JavaScript
54
star
43

run-notebook

TypeScript
44
star
44

simr

Spark In MapReduce (SIMR) - launching Spark applications on existing Hadoop MapReduce infrastructure
Java
44
star
45

ide-best-practices

Best practices for working with Databricks from an IDE
Python
40
star
46

devbox

Scala
37
star
47

unity-catalog-setup

Notebooks, terraform, tools to enable setting up Unity Catalog
37
star
48

diviner

Grouped time series forecasting engine
Python
33
star
49

cli

Databricks CLI
Go
32
star
50

security-bucket-brigade

JavaScript
30
star
51

databricks-sdk-go

Databricks SDK for Go
Go
29
star
52

pig-on-spark

proof-of-concept implementation of Pig-on-Spark integrated at the logical node level
Scala
28
star
53

databricks-sql-cli

CLI for querying Databricks SQL
Python
27
star
54

automl

Python
26
star
55

databricks-sql-go

Golang database/sql driver for Databricks SQL.
Go
24
star
56

tpch-dbgen

Patched version of dbgen
C
22
star
57

als-benchmark-scripts

Scripts to benchmark distributed Alternative Least Squares (ALS)
Scala
22
star
58

databricks-sql-nodejs

Databricks SQL Connector for Node.js
JavaScript
21
star
59

spark-package-cmd-tool

A command line tool for Spark packages
Python
18
star
60

python-interview

Databricks Python interview setup instructions
15
star
61

xgb-regressor

MLflow XGBoost Regressor
Python
15
star
62

databricks-accelerators

Accelerate the use of Databricks for customers [public repo]
Python
15
star
63

tableau-connector

Scala
12
star
64

files_in_repos

Python
12
star
65

upload-dbfs-temp

TypeScript
12
star
66

spark-sklearn-docs

HTML
11
star
67

genomics-pipelines

secondary analysis pipelines parallelized with apache spark
Scala
10
star
68

workflows-examples

10
star
69

databricks-sdk-java

Databricks SDK for Java
Java
10
star
70

sqltools-databricks-driver

SQLTools driver for Databricks SQL
TypeScript
9
star
71

xgboost-linux64

Databricks Private xgboost Linux64 fork
C++
8
star
72

tmm

Python
7
star
73

mlflow-example-sklearn-elasticnet-wine

Jupyter Notebook
7
star
74

databricks-ttyd

C
6
star
75

dais-cow-bff

Code for the "Bridging the Production Gap" DAIS 2023 talk
Jupyter Notebook
4
star
76

setup-cli

Sets up the Databricks CLI in your GitHub Actions workflow.
Shell
4
star
77

terraform-databricks-mlops-aws-project

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 Databricks AWS staging and prod workspaces.
HCL
4
star
78

jenkins-job-builder

Fork of https://docs.openstack.org/infra/jenkins-job-builder/ to include unmerged patches
Python
4
star
79

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.
HCL
4
star
80

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
star
81

databricks-empty-ide-project

Empty IDE project used by the VSCode extension for Databricks
3
star
82

databricks-repos-proxy

Python
2
star
83

databricks-asset-bundles-dais2023

Python
2
star
84

pex

Fork of pantsbuild/pex with a few Databricks-specific changes
Python
2
star
85

SnpEff

Databricks snpeff fork
Java
2
star
86

databricks-dbutils-scala

The Scala SDK for Databricks.
Scala
2
star
87

notebook_gallery

Jupyter Notebook
2
star
88

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
star
89

terraform-databricks-aws-workspace

Terraform module to create Databricks AWS E2 workspace
HCL
2
star
90

homebrew-tap

Homebrew Tap for the Databricks CLI
Ruby
1
star
91

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
92

mfg_dlt_workshop

DLT Manufacturing Workshop
Python
1
star
93

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
94

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
star