@databricks (github)
13 packages:
databricks/spark-avro: Integration utilities for using Spark with Apache Avro data
Latest release: 4.0.0-s_2.11 (2017-10-30) / (13)
databricks/spark-redshift: Redshift Data Source for Apache Spark
Latest release: 3.0.0-preview1 (2016-11-01) / (3)
databricks/spark-csv: Spark SQL CSV data source
Latest release: 1.5.0-s_2.11 (2016-09-07) / (10)
databricks/spark-perf: Performance tests for Spark
No release yet / (1)
databricks/sbt-spark-package: Sbt plugin for Spark packages
Latest release: 0.2.4 (2016-07-15) / (3)
databricks/spark-package-cmd-tool: A command line tool for Spark packages
Latest release: 0.3.0 (2015-03-17) / (1)
databricks/spark-corenlp: A Stanford CoreNLP wrapper for Apache Spark
Latest release: 0.4.0-spark2.4-scala2.11 (2018-11-16) / (2)
databricks/spark-tfocs: TFOCS for Spark, a Spark port of TFOCS: Templates for First-Order Conic Solvers (cvxr.com/tfocs)
No release yet / (1)
databricks/spark-sklearn: Scikit-learn integration package for Apache Spark
Latest release: 0.2.3 (2017-09-29) / (1)
databricks/tensorframes: Tensorflow wrapper for DataFrames on Apache Spark
Latest release: 0.8.2-s_2.11 (2019-10-24) / (4)
databricks/spark-deep-learning: Deep Learning Pipelines for Apache Spark
Latest release: 1.5.0-spark2.4-s_2.11 (2019-01-25) / (3)
tomasatdatabricks/xgboost-spark-linux64: xgboost-spark pre-built for linux64 environment
Latest release: 0.8.3-spark2.3-s_2.11 (2018-05-07) / (0)
databricks/xgboost-linux64: Xgboost Spark package pre-built for linux64 environment
Latest release: 0.8.3-spark2.3-s_2.11 (2018-08-15) / (1)