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Analyzed over 2 years ago. based on code collected almost 3 years ago.

Project Summary

A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.

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In a Nutshell, NLPy...

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Python
44%
C
29%
Fortran (Fixed-format)
10%
7 Other
17%

30 Day Summary

Jun 11 2019 — Jul 11 2019

12 Month Summary

Jul 11 2018 — Jul 11 2019

Ratings

1 user rates this project:
5.0
 
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