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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 -
lunduniversity/introprog-scalalib 1.4.0
Scala library with simple-to-use utilites for students of introductory programming.
Scala versions: 3.x -
databrickslabs/automl-toolkit 0.7.2
Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.
Scala versions: 2.11 -
xuwei-k/httpz 0.8.0
purely functional http client with scalaz.Free
Scala versions: 3.x 2.13 2.12 -
xuwei-k/scalafix-rules 0.6.24
scalafix rules
Scala versions: 2.13 2.12 -
thoughtworksinc/sbt-best-practice 8.4.0
Configure common build settings for a Scala project
Scala versions: 2.12sbt plugins: 1.x -
azhur/kafka-serde-scala 0.9.0
Implicitly converts typeclass encoders to kafka Serializer, Deserializer, Serde.
Scala versions: 3.x 2.13 2.12