deequ by awslabs

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

created at Aug. 7, 2018, 8:55 p.m.

Scala

80 +0

3,140 +6

514 +0

GitHub
koalas by databricks

Koalas: pandas API on Apache Spark

created at Jan. 3, 2019, 9:46 p.m.

Python

316 +0

3,321 +0

355 +0

GitHub
spark by dotnet

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

created at April 22, 2019, 6:55 p.m.

C#

91 +0

1,999 +0

308 +0

GitHub
delta by delta-io

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

created at April 22, 2019, 6:56 p.m.

Scala

215 +0

6,935 +13

1,583 +3

GitHub
joblib-spark by joblib

Joblib Apache Spark Backend

created at Nov. 20, 2019, 7:02 p.m.

Python

9 +0

238 +1

26 +0

GitHub
itachi by yaooqinn

A library that brings useful functions from various modern database management systems to Apache Spark

created at April 2, 2020, noon

Scala

5 +0

54 +0

4 +0

GitHub
kotlin-spark-api by Kotlin

This projects gives Kotlin bindings and several extensions for Apache Spark. We are looking to have this as a part of Apache Spark 3.x

created at June 1, 2020, 11:07 a.m.

Kotlin

18 +0

441 +0

34 +0

GitHub
delight by datamechanics

A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.

created at Oct. 26, 2020, 1:56 p.m.

Scala

16 +0

335 +0

51 +1

GitHub