sfmt VS simd

Compare sfmt vs simd and see what are their differences.

simd

simple interface to ghc's simd vector support (by mikeizbicki)
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sfmt simd
- -
1 23
- -
0.0 0.0
over 8 years ago almost 9 years ago
HTML Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" 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.

sfmt

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

We haven't tracked posts mentioning sfmt yet.
Tracking mentions began in Dec 2020.

simd

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

We haven't tracked posts mentioning simd yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing sfmt and simd you can also consider the following projects:

optimization - Some numerical optimization methods implemented in Haskell

safe-decimal

what4 - Symbolic formula representation and solver interaction library

fast-math - Play fast and loose with IEEE-754 rewrite RULES

polynomial - Haskell library for manipulating and evaluating polynomials

conjugateGradient - Sparse matrix linear equation solver, using the Conjugate Gradient algorithm

linear - Low-dimensional linear algebra primitives for Haskell.

ms - metric spaces

arrayfire - Haskell bindings to ArrayFire

nimber - Finite nimber arithmetic

hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.

nonlinear-optimization - Various iterative algorithms for optimization of nonlinear functions.