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microsoft/mobius

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

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

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 task metrics data.

Scala (JVM): 2.11 2.12

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

323 74 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

whylabs/whylogs-java

Profile and monitor your ML data pipeline end-to-end

Scala (JVM): 2.11 2.12

spark aiops data-quality ai-pipelines calculate-statistics whylogs java approximate-statistics apache-spark statistical-properties statistics mlops dataset

164 6 3

azure/azure-cosmosdb-spark

Apache Spark Connector for Azure Cosmos DB

Scala (JVM): 2.10 2.11

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

162 111 23

azure/azure-event-hubs-spark

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Scala (JVM): 2.11 2.12

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

131 117 31

kakao/cuesheet

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

Scala (JVM): 2.10 2.11

spark scala yarn magic mango apache-spark

78 21 2

swoop-inc/spark-records

Bulletproof Apache Spark jobs with fast root cause analysis of failures.

Scala (JVM): 2.12

spark big-data spark-records scala swoop apache-spark sparksql

58 14 4

chermenin/spark-states

Custom state store providers for Apache Spark

Scala (JVM): 2.11 2.12

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

53 17 3

uosdmlab/spark-nkp

Natural Korean Processor for Apache Spark

Scala (JVM): 2.11

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

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 kinesis aws-kinesis scala aws apache-spark

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

25 20 8

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

23 6 2

heartsavior/spark-state-tools

Spark Structured Streaming State Tools

Scala (JVM): 2.11 2.12

apache-spark structured-streaming

22 4 2

absaoss/hyperdrive

Extensible streaming ingestion pipeline on top of Apache Spark

Scala (JVM): 2.11 2.12

spark ingestion streaming-etl apache-spark streaming framework kafka pipeline spark-structured-streaming

20 9 8

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

tupol/spark-utils

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

Scala (JVM): 2.11 2.12

spark convenience data-sink scala data-source spark-streaming apache-spark spark-applications framework

15 4 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

python matlab regression octave r c-plus-plus quantile-regression expectile-regression machine-learning r-package classification svm rstats ml apache-spark

14 2 3

astrolabsoftware/spark-fits

FITS data source for Spark SQL and DataFrames

Scala (JVM): 2.10 2.11 2.12

pyspark scala fits apache-spark hdfs fitsio spark-sql

11 4 3

tupol/spark-tools

Executable Apache Spark Tools: Format Converter & SQL Processor

Scala (JVM): 2.11 2.12

spark sql scala format-converter converts tools apache-spark

9 0 1

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microsoft/mobius

lucacanali/sparkmeasure

hydrospheredata/mist

whylabs/whylogs-java

azure/azure-cosmosdb-spark

azure/azure-event-hubs-spark

kakao/cuesheet

swoop-inc/spark-records

chermenin/spark-states

uosdmlab/spark-nkp

bizreach/aws-kinesis-scala

flipkart-incubator/spark-transformers

isarn/isarn-sketches-spark

heartsavior/spark-state-tools

absaoss/hyperdrive

itspawanbhardwaj/spark-fuzzy-matching

tupol/spark-utils

liquidsvm/liquidsvm

astrolabsoftware/spark-fits

tupol/spark-tools