A curated list of awesome Apache Spark packages and resources.
- Apache Zeppelin - Web-based notebook that enables interactive data analytics with plugable backends, integrated plotting, and extensive Spark support out-of-the-box.
- Spark Notebook - Scalable and stable Scala and Spark focused notebook bridging the gap between JVM and Data Scientists (incl. extendable, typesafe and reactive charts).
- sparkmagic - Jupyter magics and kernels for working with remote Spark clusters, for interactively working with remote Spark clusters through Livy, in Jupyter notebooks.
- Succinct - Support for efficient queries on compressed data.
- Spark CSV - CSV reader and writer.
- Spark Avro - Apache Avro reader and writer.
- Spark XML - XML parser and writer.
- Spark-Mongodb - MongoDB reader and writer.
- Spark Cassandra Connector - Cassandra support including data source and API and support for arbitrary queries.
- Spark Riak Connector - Riak TS & Riak KV connector.
- Mongo-Spark - Official MongoDB connector.
- ADAM - A set of tools designed to analyse genomics data.
- Magellan - Geospatial analytics using Spark.
- GeoSpark - A cluster computing system for processing large-scale spatial data.
- Spark-Timeseries - A Scala / Java / Python library for interacting with time series data on Apache Spark.
- Mazerunner - Graph analytics platform on top of Neo4j and GraphX.
- GraphFrames - Data frame based graph API.
- neo4j-spark-connector - Bolt protocol based, Neo4j Connector with RDD, DataFrame and GraphX / GraphFrames support.
- dbscan-on-spark - An Implementation of the DBSCAN clustering algorithm on top of Apache Spark by irvingc and based on the paper from He, Yaobin, et al. MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data.
- Spark DBSCAN - Another implementation of the DBSCAN clustering algorithm by alitouka.
- Apache SystemML - Declarative machine learning framework on top of Spark.
- Mahout Spark Bindings - linear algebra DSL and optimizer with R-like syntax.
- spark-sklearn - Scikit-learn integration with distributed model training.
- KeystoneML - Type safe machine learning pipelines with RDDs.
- Livy - REST server with extensive language support (Python, R, Scala), ability to maintain interactive sessions and object sharing.
- spark-jobserver - A simple Spark as a Service which supports objects sharing using so called named objects. JVM only.
- silex - A bunch of tools varying from ML extensions to additional RDD methods.
- spark-corenlp - DataFrame wrapper for Stanford CoreNLP.
- Learning Spark, Lightning-Fast Big Data Analysis - A slightly outdated (Spark 1.3) introduction to Spark API. Good source of knowledge about basic concepts.
- Advanced Analytics with Spark - An useful collection of Spark processing patterns. Accompanying GitHub repository: sryza/aas.
- Mastering Apache Spark - An interesting compilation of notes by Jacek Laskowski. Focused on different aspects of Spark internals.
- Spark Gotchas - A subjective compilation of tips, tricks and common programming mistakes.
- Data Science and Engineering with Apache Spark (edX XSeries) - A series of five courses (Introduction to Apache Spark, Distributed Machine Learning with Apache Spark, Big Data Analysis with Apache Spark, Advanced Apache Spark for Data Science and Data Engineering, Advanced Distributed Machine Learning with Apache Spark) covering different aspects of software engineering and data science. Python oriented.
- Big Data Analysis with Scala and Spark (Coursera) - Scala oriented introductory course. Part of Functional Programming in Scala Specialization.
- AMP Camp - A periodical training event organized by the UC Berkeley AMPLab. A source of useful exercise and recorded workshops covering different tools from the Berkeley Data Analytics Stack.
- Oryx 2 - A lambda architecture built on Apache Spark and Apache Kafka with specialization for real-time large scale machine learning.
- Photon ML - A machine learning library supporting classical Generalized Mixed Model and Generalized Additive Mixed Effect Model.
- PredictionIO - Machine Learning server for developers and data scientists to build and deploy predictive applications in a fraction of the time.
- Crossdata - Data integration platform with extended DataSource API and multi-user environment.
- Spark Technology Center - A great source of highly diverse posts related to Spark ecosystem. From practical advices to Spark commiter profiles.
- jupyter/docker-stacks/pyspark-notebook - PySpark with Jupyter Notebook and Mesos client.
- sequenceiq/docker-spark - Yarn images from SequenceIQ.
This work (Awesome Spark, by https://github.com/awesome-spark/awesome-spark), identified by Maciej Szymkiewicz, is free of known copyright restrictions.
Apache Spark, Spark, Apache, and the Spark logo are trademarks of The Apache Software Foundation. This compilation is not endorsed by The Apache Software Foundation.