Recent News
SNAP Version 4.3.1 Released
September 25, 2024
AptPlot 8.0.5 Updated
August 27, 2024
PyPost 4.0.3 Released
August 18, 2022

Symbolic Nuclear Analysis Package

The Symbolic Nuclear Analysis Package (SNAP) consists of a suite of integrated applications designed to simplify the process of performing engineering analysis. SNAP is built on the Common Application Framework for Engineering Analysis (CAFEAN) which provides a highly flexible framework for creating and editing input for engineering analysis codes as well as extensive functionality for submitting, monitoring, and interacting with the codes.

Download SNAP

Getting Started

A guide to downloading and installing SNAP and its prerequisite software.

Documentation

Users' manuals, on-line instruction, tutorials, and other SNAP related materials.

SNAP Plug-ins

Find information about the various SNAP plug-ins available to users.

Technical Support

Technical support is available to CAMP members, NRC contractors and SNAP User's Group members.

Change Log

SNAP 4.3.1 - Released 9/25/2024:

  • A new 2D view feature has been added that will distribute drawn view components vertically, horizontally, or in a grid pattern.
  • New animation beans have been added: Pie Chart, Bar Graph, Histogram, and Pebble
  • The radial dial animation bean has been updated to improve its appearance.
  • The animation beans have been reorganized in the insertion tool. A new group “Graphs” was created to hold elements that resemble graphs.
  • The core value selection dialog was updated to have its filtering capability ignore character case.
  • The generic tabular editing dialog included in SNAP was updated to allow for adding tabs to divide up and organize the data tables with many columns.
  • An issue with the add button action for the table dialog has been resolved that caused exceptions in the screen file.
  • The default value for the calculation server communication port is inactive, which allows the system to find a free port.
  • The ASCII text comparison behavior has been updated to better identify textual differences. This also resolves issues comparing text elements including HTML control characters.

see older releases