Analyzed
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based on code collected
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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).
In a Nutshell, SLEPc...
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has a well established, mature codebase
maintained by a average size development team
with stable Y-O-Y commits -
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took an estimated 33 years of effort (COCOMO model)
starting with its first commit in November, 2003
ending with its most recent commit 5 days ago
Quick Reference
https://gitlab.com/slepc/slepc
BSD 2-clause "Simplified" License
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Hold Liable
Required
Include Copyright
Include License
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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30 Day SummarySep 9 2024 — Oct 9 2024
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12 Month SummaryOct 9 2023 — Oct 9 2024
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