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<p>This page tracks external software projects that supplement Apache Spark and add to its ecosystem.</p>
<h2>spark-packages.org</h2>
<p><a href="https://spark-packages.org/">spark-packages.org</a> is an external,
community-managed list of third-party libraries, add-ons, and applications that work with
Apache Spark. You can add a package as long as you have a GitHub repository.</p>
<h2>Infrastructure Projects</h2>
<ul>
<li><a href="https://github.com/spark-jobserver/spark-jobserver">Spark Job Server</a> -
REST interface for managing and submitting Spark jobs on the same cluster
(see <a href="http://engineering.ooyala.com/blog/open-sourcing-our-spark-job-server">blog post</a>
for details)</li>
<li><a href="https://github.com/amplab-extras/SparkR-pkg">SparkR</a> - R frontend for Spark</li>
<li><a href="http://mlbase.org/">MLbase</a> - Machine Learning research project on top of Spark</li>
<li><a href="http://mesos.apache.org/">Apache Mesos</a> - Cluster management system that supports
running Spark</li>
<li><a href="http://alluxio.org/">Alluxio</a> (née Tachyon) - Memory speed virtual distributed
storage system that supports running Spark</li>
<li><a href="https://github.com/datastax/spark-cassandra-connector">Spark Cassandra Connector</a> -
Easily load your Cassandra data into Spark and Spark SQL; from Datastax</li>
<li><a href="http://github.com/tuplejump/FiloDB">FiloDB</a> - a Spark integrated analytical/columnar
database, with in-memory option capable of sub-second concurrent queries</li>
<li><a href="http://www.elasticsearch.org/guide/en/elasticsearch/hadoop/master/spark.html#spark-sql">ElasticSearch -
Spark SQL</a> Integration</li>
<li><a href="https://github.com/tresata/spark-scalding">Spark-Scalding</a> - Easily transition
Cascading/Scalding code to Spark</li>
<li><a href="http://zeppelin-project.org/">Zeppelin</a> - an IPython-like notebook for Spark. There
is also <a href="https://github.com/tribbloid/ISpark">ISpark</a>, and the
<a href="https://github.com/andypetrella/spark-notebook/">Spark Notebook</a>.</li>
<li><a href="http://www.ibm.com/developerworks/servicemanagement/tc/pcs/index.html">IBM Spectrum Conductor with Spark</a> -
cluster management software that integrates with Spark</li>
<li><a href="https://github.com/EclairJS/eclairjs-node">EclairJS</a> - enables Node.js developers to code
against Spark, and data scientists to use Javascript in Jupyter notebooks.</li>
<li><a href="https://github.com/SnappyDataInc/snappydata">SnappyData</a> - an open source
OLTP + OLAP database integrated with Spark on the same JVMs.</li>
<li><a href="https://github.com/DataSystemsLab/GeoSpark">GeoSpark</a> - Geospatial RDDs and joins</li>
<li><a href="https://github.com/ispras/spark-openstack">Spark Cluster Deploy Tools for OpenStack</a></li>
</ul>
<h2>Applications Using Spark</h2>
<ul>
<li><a href="http://mahout.apache.org/">Apache Mahout</a> - Previously on Hadoop MapReduce,
Mahout has switched to using Spark as the backend</li>
<li><a href="https://wiki.apache.org/mrql/">Apache MRQL</a> - A query processing and optimization
system for large-scale, distributed data analysis, built on top of Apache Hadoop, Hama, and Spark</li>
<li><a href="http://blinkdb.org/">BlinkDB</a> - a massively parallel, approximate query engine built
on top of Shark and Spark</li>
<li><a href="https://github.com/adobe-research/spindle">Spindle</a> - Spark/Parquet-based web
analytics query engine</li>
<li><a href="http://simin.me/projects/spatialspark/">Spark Spatial</a> - Spatial joins and
processing for Spark</li>
<li><a href="https://github.com/thunderain-project/thunderain">Thunderain</a> - a framework
for combining stream processing with historical data, think Lambda architecture</li>
<li><a href="https://github.com/AyasdiOpenSource/df">DF</a> from Ayasdi - a Pandas-like data frame
implementation for Spark</li>
<li><a href="https://github.com/OryxProject/oryx">Oryx</a> - Lambda architecture on Apache Spark,
Apache Kafka for real-time large scale machine learning</li>
<li><a href="https://github.com/bigdatagenomics/adam">ADAM</a> - A framework and CLI for loading,
transforming, and analyzing genomic data using Apache Spark</li>
</ul>
<h2>Additional Language Bindings</h2>
<h3>C# / .NET</h3>
<ul>
<li><a href="https://github.com/Microsoft/SparkCLR">CLR for Spark</a></li>
</ul>
<h3>Clojure</h3>
<ul>
<li><a href="https://github.com/TheClimateCorporation/clj-spark">clj-spark</a></li>
<li><a href="http://spark-packages.org/package/21">Sparkling</a></li>
</ul>
<h3>Groovy</h3>
<ul>
<li><a href="https://github.com/bunions1/groovy-spark-example">groovy-spark-example</a></li>
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