IBM Data Science Experience (DSX) Desktop is a free client for data scientists and data engineers.
DSX Desktop provides the following tools:
- Open-source code files that data scientists and data engineers can create, import, or run. DSX Desktop provides sample notebooks to get you started.
- A tool for working with R, a statistical analysis and machine-learning package that enables data management and includes tests, models, analyses, and graphics, and enables data management.
DSX Desktop includes the basic Anaconda packages plus the following additional libraries:
Available for Anaconda 2.7, Anaconda 3.5 and Anaconda plus Spark:
Available for Spark only:
- R Libraries: plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, randomforest, and OHDSI libraries (OhdsiRTools, Cyclops, DatabaseConnector, FeatureExtraction, BigKnn, PatientLevelPrediction, SqlRender, MethodEvaluation, SelfControlledCaseSeries, CaseControl, CohortMethod, Hercules, EmpiricalCalibration, Cert, SelfControlledCohort, IcTemporalPatternDiscovery, PublicOracle).
- Spark 2.1.0
- tensorflow for Python
- xgboost for Python