Dear Spark users and developers, I’m happy to announce Spark Packages (http://spark-packages.org), a community package index to track the growing number of open source packages and libraries that work with Apache Spark. Spark Packages makes it easy for users to find, discuss, rate, and install packages for any version of Spark, and makes it easy for developers to contribute packages.
Spark Packages will feature integrations with various data sources, management tools, higher level domain-specific libraries, machine learning algorithms, code samples, and other Spark content. Thanks to the package authors, the initial listing of packages includes scientific computing libraries, a job execution server, a connector for importing Avro data, tools for launching Spark on Google Compute Engine, and many others. I’d like to invite you to contribute and use Spark Packages and provide feedback! As a disclaimer: Spark Packages is a community index maintained by Databricks and (by design) will include packages outside of the ASF Spark project. We are excited to help showcase and support all of the great work going on in the broader Spark community! Cheers, Xiangrui --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
