SuiteSparse VS julia

Compare SuiteSparse vs julia and see what are their differences.

SuiteSparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University. (by DrTimothyAldenDavis)
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SuiteSparse julia
4 1
1,068 4
- -
9.9 0.0
5 days ago over 2 years ago
C C
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SuiteSparse

Posts with mentions or reviews of SuiteSparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-20.

julia

Posts with mentions or reviews of julia. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SuiteSparse and julia you can also consider the following projects:

Reddit

C - Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

matio - MATLAB MAT File I/O Library

bcal - :1234: Bits, bytes and address calculator

PrimeNumbers-C-code - Function that take a N number and return TRUE if it is prime or FALSE if not.

cadabra2 - A field-theory motivated approach to computer algebra.

calc - C-style arbitrary precision calculator

Code-Finds-Determinant-of-a-Array-in-C

cleargrasp - Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"

collatz - Convergence verification of the Collatz problem

libvips - A fast image processing library with low memory needs.