nat-sized-numbers VS sparse-linear-algebra

Compare nat-sized-numbers vs sparse-linear-algebra and see what are their differences.

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nat-sized-numbers sparse-linear-algebra
- -
0 87
- -
0.0 0.0
about 7 years ago over 3 years ago
Haskell Haskell
MIT License GNU General Public License v3.0 only
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.

nat-sized-numbers

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

We haven't tracked posts mentioning nat-sized-numbers yet.
Tracking mentions began in Dec 2020.

sparse-linear-algebra

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

We haven't tracked posts mentioning sparse-linear-algebra yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing nat-sized-numbers and sparse-linear-algebra you can also consider the following projects:

lbfgs - Haskell binding for liblbfgs

hmatrix-nlopt - High-level hmatrix-compatible bindings to NLOPT from Haskell

compensated - Compensated floating-point arithmetic

nlopt-haskell - Low-level Haskell bindings to the NLOPT library

microlens-aeson - Lenses and Traversals for Aeson, based on Microlens.

log-domain - This package provides log-domain floats, doubles and complex numbers for Haskell.

hyperloglog - A constant-memory approximation of set membership

limp - ideally, this will become a pure Haskell library for Linear Integer/Mixed Programming

half - half-precision floating-point

hasty-hamiltonian - Speedy gradient-based traversal through parameter space.