pySDAR version 2.0.2 now with a GUI abort feature!

pySDAR is a python implementation of the ASTM E3076-18 Standard. A graphical user interface produces a pdf and csv output file. A command line interface tool allows for users to create shell scripts to run pySDAR inline. Python is not needed as we have packaged the code as an executable with a Windows Installer.

This practice presents an automated, objective linear-fitting method for determining the slope of the linear portion of a test record. The method assumes that there is a linear region early in the test record where the value of the y variable increases roughly in proportion to the x variable and the slope of the record decreases after the linear region. The practice determines the best linear fit to the data based on the least normalized residual and provides metrics for evaluating the quality of the test record and the quality of the resultant fit.

Sponsored by Naval Nuclear Laboratory and the ASTM E3076 committee

Project Samples

Project Activity

See All Activity >

Follow pySDAR

pySDAR Web Site

Other Useful Business Software
Turn traffic into pipeline and prospects into customers Icon
Turn traffic into pipeline and prospects into customers

For account executives and sales engineers looking for a solution to manage their insights and sales data

Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of pySDAR!

Additional Project Details

Registered

2024-01-12