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microsoft/mobius

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

eventhubs spark streaming mapreduce kafka-streaming apache-spark csharp near-real-time mobius bigdata dstream rdd dataset spark-streaming dataframe fsharp

737 173 32

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.

Scala (JVM): 2.11 2.12

spark apache-spark spark-troubleshooting performance-metrics performance-troubleshooting

285 62 7

hydrospheredata/mist

Serverless proxy for Spark cluster

Scala (JVM): 2.10 2.11 2.12

apache-spark api big-data serverless

247 59 24

azure/azure-event-hubs-spark

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Scala (JVM): 2.11 2.12

eventhubs spark streaming continuous databricks stream apache-spark scala azure microsoft structured-streaming event-hubs apache real-time spark-streaming connector

124 108 29

azure/azure-cosmosdb-spark

Apache Spark Connector for Azure Cosmos DB

Scala (JVM): 2.10 2.11

databricks-notebooks spark pyspark changefeed databricks apache-spark lambda-architecture azure-databricks azure-cosmos-db cosmos-db jupyter-notebook connector

151 103 21

kakao/cuesheet

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

Scala (JVM): 2.10 2.11

spark apache-spark scala mango magic yarn

78 21 2

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.

Scala (JVM): dotty

streaming-data java-api big-data hdfs apache-spark unified-bigdata-processing apache-flink hadoop batch-processing kafka

59 9 10

chermenin/spark-states

Custom state store providers for Apache Spark

Scala (JVM): 2.11 2.12

state-store spark stateful apache-spark spark-structured-streaming structured-streaming apache state spark-streaming

53 17 3

uosdmlab/spark-nkp

Natural Korean Processor for Apache Spark

Scala (JVM): 2.11

spark apache-spark text-mining spark-mllib korean-nlp natural-language-processing nlp

41 13 2

bizreach/aws-kinesis-scala

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

Scala (JVM): 2.11 2.12 2.13

spark apache-spark scala aws-kinesis aws kinesis

26 11 4

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.

Scala (JVM): 2.10 2.11

spark data-pipelines machine-learning-library apache-spark scala transformers export machine-learning mllib java machine-learning-algorithms

25 20 8

heartsavior/spark-state-tools

Spark Structured Streaming State Tools

Scala (JVM): 2.11 2.12

apache-spark structured-streaming

22 4 2

isarn/isarn-sketches-spark

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

Scala (JVM): 2.10 2.11 2.12

spark data-sketching pyspark apache-spark udaf variable-importance scala dataframes aggregator t-digest dataset python spark-ml sketching-algorithm data-sketches dataframe datasets feature-importance

20 6 2

itspawanbhardwaj/spark-fuzzy-matching

Fuzzy matching function in spark (https://spark-packages.org/package/itspawanbhardwaj/spark-fuzzy-matching)

Scala (JVM): 2.10 2.11

fuzzy-matching apache-spark scala

16 5 1

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.

Scala (JVM): 2.11