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Analyzed about 4 hours ago. based on code collected about 4 hours ago.

Project Summary

jblas is a fast linear algebra library for Java. jblas is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making jBLAS very fast.

jblas can is essentially a light-wight wrapper around the BLAS and LAPACK routines. These packages have originated in the Fortran community which explains their often archaic API. On the other hand modern implementations are hard to beat performance wise. jblas aims to make this functionality available to Java programmers such that they do not have to worry about writing JNI interfaces and calling conventions of Fortran code.

Tags

blas java lapack linearalgebra matrix

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BSD 4-clause (University of California-Specific)
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Languages

Languages?height=75&width=75
Java
65%
C
17%
Ruby
12%
6 Other
6%

30 Day Summary

Oct 15 2018 — Nov 14 2018

12 Month Summary

Nov 14 2017 — Nov 14 2018
  • 7 Commits
    Down -1 (12%) from previous 12 months
  • 2 Contributors
    Down -1 (33%) from previous 12 months

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