normaldistribution alternatives and similar packages

Based on the "Math" category.
Alternatively, view normaldistribution alternatives based on common mentions on social networks and blogs.

• hmatrix

  9.8 4.7 normaldistribution VS hmatrix

  Linear algebra and numerical computation
  

• vector

  9.8 8.2 normaldistribution VS vector

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

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• ad

  9.8 7.3 normaldistribution VS ad

  Automatic Differentiation

• subhask

  9.8 0.0 normaldistribution VS subhask

  Type safe interface for working in subcategories of Hask

• linear

  9.7 5.4 normaldistribution VS linear

  Low-dimensional linear algebra primitives for Haskell.

• statistics

  9.7 0.0 normaldistribution VS statistics

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

• HerbiePlugin

  9.4 0.0 normaldistribution VS HerbiePlugin

  GHC plugin that improves Haskell code's numerical stability

• what4

  9.4 8.9 normaldistribution VS what4

  Symbolic formula representation and solver interaction library
  

• hgeometry

  9.3 8.4 normaldistribution VS hgeometry

  HGeometry

• estimator

  9.2 0.0 normaldistribution VS estimator

  State-space estimation algorithms and models
  

• algebra

  9.2 0.0 normaldistribution VS algebra

  constructive abstract algebra

• units

  9.2 5.9 normaldistribution VS units

  The home of the units Haskell package

• grid

  9.2 4.8 normaldistribution VS grid

  Tools for working with regular grids/graphs/lattices.

• semigroups

  9.2 2.8 normaldistribution VS semigroups

  Haskell 98 semigroups

• hermit

  9.0 0.0 normaldistribution VS hermit

  Haskell Equational Reasoning Model-to-Implementation Tunnel
  

• computational-algebra

  9.0 7.0 normaldistribution VS computational-algebra

  General-Purpose Computer Algebra System as an EDSL in Haskell

• mwc-random

  9.0 0.0 normaldistribution VS mwc-random

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

• dimensional

  9.0 3.8 normaldistribution VS dimensional

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

• hblas

  8.9 0.0 normaldistribution VS hblas

  haskell bindings for blas and lapack
  

• matrix

  8.9 0.0 normaldistribution VS matrix

  A Haskell native implementation of matrices and their operations.

• numhask

  8.8 7.1 normaldistribution VS numhask

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

• vector-space

  8.8 0.0 normaldistribution VS vector-space

  Vector & affine spaces, linear maps, and derivatives

• cf

  8.6 0.0 normaldistribution VS cf

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

• rounded

  8.6 0.0 normaldistribution VS rounded

  MPFR bindings for Haskell

• bayes-stack

  8.6 0.0 normaldistribution VS bayes-stack

  Framework for Gibbs sampling of probabilistic models

• math-functions

  8.6 2.1 normaldistribution VS math-functions

  Special mathematical functions
  

• poly

  8.5 3.3 normaldistribution VS poly

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

• deeplearning-hs

  8.5 0.0 normaldistribution VS deeplearning-hs

  Deep Learning in Haskell

• optimization

  8.5 0.0 normaldistribution VS optimization

  Some numerical optimization methods implemented in Haskell

• arrayfire

  8.4 0.0 normaldistribution VS arrayfire

  Haskell bindings to ArrayFire
  

• monte-carlo

  8.4 0.0 normaldistribution VS monte-carlo

  A Monte Carlo monad and transformer for Haskell.

• vector-sized

  8.3 3.3 normaldistribution VS vector-sized

  Size tagged vectors

• intervals

  8.3 2.2 normaldistribution VS intervals

  Interval Arithmetic

• safe-decimal

  8.3 4.6 normaldistribution VS safe-decimal

  Safe and very efficient arithmetic operations on fixed decimal point numbers
  

• equational-reasoning

  8.2 2.4 normaldistribution VS equational-reasoning

  Agda-style equational reasoning in Haskell

• Decimal

  8.2 0.0 normaldistribution VS Decimal

  Decimal numbers with variable precision

• sbvPlugin

  8.2 0.3 normaldistribution VS sbvPlugin

  Formally prove properties of Haskell programs using SBV/SMT.

• bed-and-breakfast

  8.2 0.0 normaldistribution VS bed-and-breakfast

  Matrix operations in 100% pure Haskell

• type-natural

  8.2 5.7 normaldistribution VS type-natural

  Type-level well-kinded natural numbers.

• simple-smt

  8.0 2.0 normaldistribution VS simple-smt

  A simple way to interact with an SMT solver process.

• eigen

  8.0 0.0 L2 normaldistribution VS eigen

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

• polynomial

  7.9 0.0 normaldistribution VS polynomial

  Haskell library for manipulating and evaluating polynomials

• simd

  7.9 0.0 normaldistribution VS simd

  simple interface to ghc's simd vector support

• mltool

  7.9 0.0 normaldistribution VS mltool

  Machine Learning Toolbox

• lambda-calculator

  7.9 0.0 normaldistribution VS lambda-calculator

  An introduction to the Lambda Calculus

• hTensor

  7.8 0.0 normaldistribution VS hTensor

  Multidimensional arrays and simple tensor computations

• dimensions

  7.8 1.2 normaldistribution VS dimensions

  Many-dimensional type-safe numeric ops

• diagrams-solve

  7.7 2.1 normaldistribution VS diagrams-solve

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

• vector-binary-instances

  7.7 1.9 normaldistribution VS vector-binary-instances

  Instances for the Haskell Binary class, for the types defined in the popular vector package.

• vector-th-unbox

  7.7 0.0 normaldistribution VS vector-th-unbox

  Deriver for unboxed vectors using Template Haskell

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

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