ad alternatives and similar packages

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• hmatrix

  9.8 5.4 ad VS hmatrix

  Linear algebra and numerical computation
  

• vector

  9.8 7.8 ad VS vector

  An efficient implementation of Int-indexed arrays (both mutable and immutable), with a powerful loop optimisation framework .
  

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• subhask

  9.8 0.0 ad VS subhask

  Type safe interface for working in subcategories of Hask

• linear

  9.7 5.3 ad VS linear

  Low-dimensional linear algebra primitives for Haskell.

• statistics

  9.7 0.2 ad VS statistics

  A fast, high quality library for computing with statistics in Haskell.
  

• HerbiePlugin

  9.5 0.0 ad VS HerbiePlugin

  GHC plugin that improves Haskell code's numerical stability

• what4

  9.4 9.1 ad VS what4

  Symbolic formula representation and solver interaction library
  

• hgeometry

  9.3 8.9 ad VS hgeometry

  HGeometry

• semigroups

  9.2 0.0 ad VS semigroups

  Haskell 98 semigroups

• grid

  9.2 0.0 ad VS grid

  Tools for working with regular grids/graphs/lattices.

• algebra

  9.2 0.0 ad VS algebra

  constructive abstract algebra

• units

  9.2 0.0 ad VS units

  The home of the units Haskell package

• estimator

  9.2 0.0 ad VS estimator

  State-space estimation algorithms and models
  

• computational-algebra

  9.0 7.4 ad VS computational-algebra

  General-Purpose Computer Algebra System as an EDSL in Haskell

• hermit

  9.0 0.0 ad VS hermit

  Haskell Equational Reasoning Model-to-Implementation Tunnel
  

• dimensional

  9.0 4.1 ad VS dimensional

  Dimensional library variant built on Data Kinds, Closed Type Families, TypeNats (GHC 7.8+).

• mwc-random

  9.0 0.1 ad VS mwc-random

  A very fast Haskell library for generating high quality pseudo-random numbers.
  

• numhask

  8.9 0.0 ad VS numhask

  A haskell numeric prelude, providing a clean structure for numbers and operations that combine them.

• hblas

  8.9 0.0 ad VS hblas

  haskell bindings for blas and lapack
  

• matrix

  8.9 0.0 ad VS matrix

  A Haskell native implementation of matrices and their operations.

• vector-space

  8.8 0.0 ad VS vector-space

  Vector & affine spaces, linear maps, and derivatives

• cf

  8.6 0.0 ad VS cf

  "Exact" real arithmetic for Haskell using continued fractions (Not formally proven correct)

• optimization

  8.5 0.0 ad VS optimization

  Some numerical optimization methods implemented in Haskell

• rounded

  8.5 0.0 ad VS rounded

  MPFR bindings for Haskell

• arrayfire

  8.5 0.0 ad VS arrayfire

  Haskell bindings to ArrayFire
  

• deeplearning-hs

  8.5 0.0 ad VS deeplearning-hs

  Deep Learning in Haskell

• math-functions

  8.5 2.8 ad VS math-functions

  Special mathematical functions
  

• bayes-stack

  8.5 0.0 ad VS bayes-stack

  Framework for Gibbs sampling of probabilistic models

• poly

  8.4 5.5 ad VS poly

  Fast polynomial arithmetic in Haskell (dense and sparse, univariate and multivariate, usual and Laurent)

• vector-sized

  8.3 4.5 ad VS vector-sized

  Size tagged vectors

• safe-decimal

  8.3 4.9 ad VS safe-decimal

  Safe and very efficient arithmetic operations on fixed decimal point numbers
  

• monte-carlo

  8.3 0.0 ad VS monte-carlo

  A Monte Carlo monad and transformer for Haskell.

• intervals

  8.3 3.0 ad VS intervals

  Interval Arithmetic

• equational-reasoning

  8.2 2.8 ad VS equational-reasoning

  Agda-style equational reasoning in Haskell

• bed-and-breakfast

  8.2 0.0 ad VS bed-and-breakfast

  Matrix operations in 100% pure Haskell

• Decimal

  8.2 0.3 ad VS Decimal

  Decimal numbers with variable precision

• type-natural

  8.2 6.3 ad VS type-natural

  Type-level well-kinded natural numbers.

• sbvPlugin

  8.2 0.0 ad VS sbvPlugin

  Formally prove properties of Haskell programs using SBV/SMT.

• eigen

  8.0 0.0 L2 ad VS eigen

  Haskel binding for Eigen library. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

• polynomial

  8.0 0.0 ad VS polynomial

  Haskell library for manipulating and evaluating polynomials

• simd

  7.9 0.0 ad VS simd

  simple interface to ghc's simd vector support

• simple-smt

  7.9 2.2 ad VS simple-smt

  A simple way to interact with an SMT solver process.

• mltool

  7.9 0.0 ad VS mltool

  Machine Learning Toolbox

• hTensor

  7.8 0.0 ad VS hTensor

  Multidimensional arrays and simple tensor computations

• dimensions

  7.8 1.5 ad VS dimensions

  Many-dimensional type-safe numeric ops

• vector-th-unbox

  7.7 0.0 ad VS vector-th-unbox

  Deriver for unboxed vectors using Template Haskell

• manifold-random

  7.7 0.0 ad VS manifold-random

  Coordinate-free hypersurfaces as Haskell types

• monoid-subclasses

  7.7 0.0 ad VS monoid-subclasses

  Subclasses of Monoid with a solid theoretical foundation and practical purposes

• diagrams-solve

  7.7 2.8 ad VS diagrams-solve

  Miscellaneous solver code for diagrams (low-degree polynomials, tridiagonal matrices)
  

• glpk-hs

  7.7 0.0 ad VS glpk-hs

  Haskell bindings to glpk

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