SAS Visual Analytics SDK
for developers

Getting Started with SAS® Visual Analytics SDK

The SAS Visual Analytics SDK is a collection of JavaScript libraries that web developers can use to embed SAS Visual Analytics content within custom ​web pages and web apps. The SDK provides a framework that enables you to:​​

  • ​Embed entire reports or individual charts and objects from SAS Visual Analytics reports
  • Embed charts and objects from multiple SAS Visual Analytics reports
  • ​Support actions between SAS Visual Analytics report objects on your web page or in your web app
  • Share data between SAS Visual Analytics report objects on your web page or in your web app

Use of the SAS Visual Analytics SDK requires access to SAS Visual Analytics 8.4 and later releases.​

GitHub resources for developers

There are multiple repositories related to SAS Visual Analytics on github/sassoftware. Expand the section below for more information and links.

GitHub repository links for SAS Visual Analytics

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.

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.

The data-driven content object enables you to display your data in a custom third-party visualization, within your SAS Visual Analytics report.

The SAS Graph Builder enables users to create custom visualizations that can be used as a graph object within a SAS Visual Analytics report. This project provides pre-built SAS custom graphs and their supporting files.

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. 

SAS Visual Data Mining and Machine Learning Trials Challenge - share analytics pipelines with the community. Details include: champion model, KS and Misclassification rates.