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SAS Viya Infrastructure Resource Kit (VIRK). Tools and utilities to help SAS customers with SAS Viya readiness.
Conary recipes and supporting files for defining the contents of various rBuilder products
The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the R client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from R.
The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the Python client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from Python.
A Python interface module to the SAS System. It works with Linux, Windows, and mainframe SAS. It supports the sas_kernel project (a Jupyter Notebook kernel for SAS) or can be used on its own.
Sample notebooks that show the capabilities of SASPy. Use these for learning and for validating your environment. And contribute your own!
This project contains code samples and materials to help you learn to use the SASKit for iOS application programming interface
A collection of recipes for containers of the SAS Viya Programming Environment. "all-in-one" is in the style of an Analytics Work Bench with all tools in one container. Presented at SAS Global Forum 2018.
The ESPPy module enables you to connect to a SAS ESP server, access information about the server, manage and construct projects, and interact with windows in your projects.
A simple framework for building applications with SAS REST APIs, supported with SAS Viya
Tool for importing software from external package repositories into Conary repositories
The SAS pipefitter package provides a Python API for developing pipelines for data transformation and model fitting as stages of a repeatable machine learning workflow in either SAS v9 or SAS Viya.
Code examples and supporting materials for data mining and machine learning techniques on the SAS Viya environment.
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
A collection of examples using restaf in a nodejs environment.
This project contains code samples and materials to help you learn to use the SAS Library for Android application programming interface.
Relic is a service and a tool for adding digital signatures to operating system packages for Linux and Windows
Pure Python implementation of Debian/Ubuntu packaging and repository utilities
SAS-provided tasks and contributed custom tasks to extend SAS Studio
sasoptpy is a Python package providing a modeling interface for SAS Viya Optimization solvers.
Code examples for machine learning techniques using the SAS Viya platform.
Using the data-driven content feature offered in SAS Visual Analytics, users can add Web Maps to their reports and integrate the results of their SAS-based analysis as discrete map layers
UnRAVL is a domain-specific language for testing REST APIs. It is specification-driven and encoded in JSON, which allows easy test case generation from other tools and directly embedded JSON request bodies or comparing results to expected JSON test data. UnRAVL contains a number of useful assertion constructs for validating REST API calls.
Pulp plugin to handle Debian packages
Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages
A tool to facilitate the correct pre-req configuration for SAS Viya running on Microsoft Windows
Companion to the book: SAS® Viya®: The R Perspective by Yue Qi, Kevin D. Smith, and Xiangxiang Meng
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
Code examples and data for forecasting using the SAS Viya platform.