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Analyzed 2 days ago. based on code collected 3 days ago.

Project Summary

SLEPc, the Scalable Library for Eigenvalue Problem Computations, is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for linear eigenvalue problems in either standard or generalized form, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix, and to solve nonlinear eigenvalue problems (polynomial or general).

Tags

eigenproblem hpc mpi numericalmethods parallelcomputing scientific_computing simulation

In a Nutshell, SLEPc...

BSD 2-clause "Simplified" License
Permitted

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These details are provided for information only. No information here is legal advice and should not be used as such.

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

C
80%
Python
12%
10 Other
8%

30 Day Summary

May 19 2024 — Jun 18 2024

12 Month Summary

Jun 18 2023 — Jun 18 2024
  • 380 Commits
    Down -51 (11%) from previous 12 months
  • 9 Contributors
    Down 0 (0%) from previous 12 months