30 open source projects by sassoftware

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.

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 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.

Teaching and lab materials for the "SAS Programming for R Users" course, including course notes, data, and code.

Example code and materials that illustrate applications of SAS machine learning techniques.

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.

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

A collection of recipes and other resources for building containers that include SAS Viya software.

Example code and materials that illustrate techniques for integrating SAS with popular open source analytics technologies like Python and R.

SAS Viya Administration Resource Kit (SAS Viya ARK). Tools and utilities to help SAS customers with SAS Viya readiness.

Golang implementation of parsing RPM packages

Example code and materials that illustrate using neural networks with several hidden layers in SAS.

ci360 data download client program using Base SAS

Code examples and supporting materials for data mining and machine learning techniques on the SAS Viya environment.

Extended Python Debugger

Python package and CLI for user-friendly integration with SAS Viya

Code examples for machine learning techniques using the SAS Viya platform.

Distributed software repository, build, and system management tool

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

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.

SAS Viya Infrastructure Resource Kit (VIRK). Tools and utilities to help SAS customers with SAS Viya readiness.

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.

Relic is a service and a tool for adding digital signatures to operating system packages for Linux and Windows

This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya 4+ VA/VS/VDMML products on Microsoft Azure Cloud.

SAS Viya Administration Resource Kit for Containerized Deployments. Tools and utilities to help SAS Customers with SAS Viya running in containers.

This repository contains examples that show the capabilities of SAS REST APIs. You can use these examples for learning or for validating your environment. You are encouraged to contribute your own examples.

The data-driven content object enables you to display your data in a custom third-party visualization, within your SAS Visual Analytics report. The third-party visualization can be authored in any JavaScript charting framework, such as D3.js, Google Charts, or CanvasJS. The visualization in a data-driven content object receives its data query fr…

Sample data files to support practice exercises within SAS certification preparation guides.

The SAS Visual Analytics SDK is a set of JavaScript APIs and web components that allow you to embed SAS Visual Analytics report content into a third-party application or web page.

Sample notebooks that show the capabilities of SASPy. Use these for learning and for validating your environment. And contribute your own!