Apache Spark - A unified analytics engine for large-scale data processing
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Apache DataFusion Comet Spark Accelerator
Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
High performance data store solution
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
State of the Art Natural Language Processing
Compile-time Language Integrated Queries for Scala
A Scala kernel for Jupyter
MLeap: Deploy ML Pipelines to Production
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
NVIDIA cuDF for Apache Spark plugin - accelerate Apache Spark with GPUs
Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere.
An open protocol for secure data sharing
A connector for Spark that allows reading and writing to/from Redis cluster
Expressive types for Spark.
This repository contains the development code for sparkMeasure, an Apache Spark performance analysis and troubleshooting library. It simplifies collecting, aggregating, and exporting Spark task/stage metrics, and is designed for practical use by developers and data engineers in interactive analysis, testing, and production monitoring workflows.
Essential Spark extensions and helper methods β¨π²
Data Lineage Tracking And Visualization Solution
A Spark plugin for reading and writing Excel files