hydrospheredata/mist

Serverless proxy for Spark cluster

uosdmlab/spark-nkp

Natural Korean Processor for Apache Spark

theastrolab/spark3d

Spark extension for processing large-scale 3D data sets: Astrophysics, High Energy Physics, Meteorology, …

datasystemslab/geospark

A Cluster Computing System for Processing Large-Scale Spatial Data

seznam/euphoria

Euphoria is an open source Java API for creating unified big-data processing flows. It provides an engine independent programming model which can express both batch and stream transformations.

coxautomotivedatasolutions/vegalite4s

Vega-Lite4s is a small library over the comprehensive Vega-Lite Javascript visualisation library, allowing you to create beautiful Vega-Lite visualisations in Scala

azure/azure-cosmosdb-spark

Apache Spark Connector for Azure Cosmos DB

astrolabsoftware/spark-fits

FITS data source for Spark SQL and DataFrames

tupol/spark-utils

Basic framework utilities to quickly start writing production ready Apache Spark applications

seahrh/spark-util

Utility for common use cases and bug workarounds in Apache Spark 2

kakao/cuesheet

A framework for writing Spark 2.x applications in a pretty way

chitralverma/sparkml-extensions

tupol/spark-tools

Executable Apache Spark Tools: Format Converter & SQL Processor

flipkart-incubator/spark-transformers

Spark-Transformers: Library for exporting Apache Spark MLLIB models in to use them in any Java application with no other dependencies.

liquidsvm/liquidsvm

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

bizreach/aws-kinesis-scala

Scala client for Amazon Kinesis. Also provides write to Kinesis capability for Apache Spark or Spark Streaming.

lucacanali/sparkmeasure

This is the development repository of SparkMeasure, a tool for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark workload metrics data.

azure/azure-event-hubs-spark

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

intel-analytics/analytics-zoo

Distributed Tensorflow, Keras and BigDL on Apache Spark

microsoft/mobius

C# and F# language binding and extensions to Apache Spark