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cerndb/sparkplugins 0.4
Code and examples of how to write and deploy Apache Spark Plugins. Spark plugins allow runnig custom code on the executors as they are initialized. This also allows extending the Spark metrics systems with user-provided monitoring probes.
Scala versions: 2.13 2.12 -
potix2/spark-google-spreadsheets 0.6.3
Google Spreadsheets datasource for SparkSQL and DataFrames
Scala versions: 2.11 -
apache/pekko-connectors 1.1.0
Apache Pekko Connectors is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Apache Pekko.
Scala versions: 3.x 2.13 2.12 -
uosdmlab/spark-nkp 0.3.3
Natural Korean Processor for Apache Spark
Scala versions: 2.11 -
ringcentral/cassandra4io 0.1.20
Asynchronous lightweight fs2 and cats.effect.IO wrapper under datastax cassandra 4.x driver with doobie-like syntax
Scala versions: 2.13 2.12 -
scalaz/scalaz-deriving 1.0.0
Principled, fast, typeclass derivation.
Scala versions: 2.12 2.11 -
neandertech/langoustine 0.0.25
Clean room implementation of the LSP protocol in Scala, published for JVM, JS, and Native platforms
Scala versions: 3.xScala.js versions: 1.xScala Native versions: 0.4 -
eharmony/aloha 5.2.1
A scala-based feature generation and modeling framework
Scala versions: 2.11 2.10