normaldistribution alternatives and similar packages

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

• ad

  9.8 4.9 normaldistribution VS ad

  Automatic Differentiation

• vector

  9.8 6.0 normaldistribution VS vector

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

Developer Ecosystem Survey 2022

Take part in the Developer Ecosystem Survey 2022 by JetBrains and get a chance to win a Macbook, a Nvidia graphics card, or other prizes. We’ll create an infographic full of stats, and you’ll get personalized results so you can compare yourself with other developers.

Promo surveys.jetbrains.com



• subhask

  9.8 0.0 normaldistribution VS subhask

  Type safe interface for working in subcategories of Hask

• hmatrix

  9.8 0.8 normaldistribution VS hmatrix

  Linear algebra and numerical computation
  

• linear

  9.7 5.3 normaldistribution VS linear

  Low-dimensional linear algebra primitives for Haskell.

• statistics

  9.7 6.5 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 8.8 normaldistribution VS what4

  Symbolic formula representation and solver interaction library
  

• hgeometry

  9.3 9.6 normaldistribution VS 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.

• semigroups

  9.2 3.3 normaldistribution VS semigroups

  Haskell 98 semigroups

• grid

  9.2 4.8 normaldistribution VS grid

  Tools for working with regular grids/graphs/lattices.

• units

  9.2 4.1 normaldistribution VS units

  The home of the units Haskell package

• algebra

  9.2 0.0 normaldistribution VS algebra

  constructive abstract algebra

• computational-algebra

  9.1 4.8 normaldistribution VS computational-algebra

  General-Purpose Computer Algebra System as an EDSL in Haskell

• estimator

  9.1 0.0 normaldistribution VS estimator

  State-space estimation algorithms and models
  

• dimensional

  9.0 1.3 normaldistribution VS dimensional

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

• hermit

  9.0 0.0 normaldistribution VS hermit

  Haskell Equational Reasoning Model-to-Implementation Tunnel
  

• matrix

  8.9 1.5 normaldistribution VS matrix

  A Haskell native implementation of matrices and their operations.

• hblas

  8.9 0.0 normaldistribution VS hblas

  haskell bindings for blas and lapack
  

• mwc-random

  8.9 3.9 normaldistribution VS mwc-random

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

• vector-space

  8.8 0.0 normaldistribution VS vector-space

  Vector & affine spaces, linear maps, and derivatives

• numhask

  8.8 6.2 normaldistribution VS numhask

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

• 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

• cf

  8.6 0.0 normaldistribution VS cf

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

• vector-sized

  8.5 0.0 normaldistribution VS vector-sized

  Size tagged vectors

• math-functions

  8.5 2.7 normaldistribution VS math-functions

  Special mathematical functions
  

• deeplearning-hs

  8.5 0.0 normaldistribution VS deeplearning-hs

  Deep Learning in Haskell

• poly

  8.5 0.0 normaldistribution VS poly

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

• optimization

  8.4 0.0 normaldistribution VS optimization

  Some numerical optimization methods implemented in Haskell

• arrayfire

  8.4 0.0 normaldistribution VS arrayfire

  Haskell bindings to ArrayFire
  

• lambda-calculator

  8.4 5.1 normaldistribution VS lambda-calculator

  An introduction to the Lambda Calculus

• monte-carlo

  8.3 0.0 normaldistribution VS monte-carlo

  A Monte Carlo monad and transformer for Haskell.

• rampart

  8.3 1.9 normaldistribution VS rampart

  :european_castle: Determine how intervals relate to each other.

• equational-reasoning

  8.2 4.6 normaldistribution VS equational-reasoning

  Agda-style equational reasoning in Haskell

• intervals

  8.2 1.8 normaldistribution VS intervals

  Interval Arithmetic

• safe-decimal

  8.2 0.0 normaldistribution VS safe-decimal

  Safe and very efficient arithmetic operations on fixed decimal point numbers
  

• type-natural

  8.2 0.0 normaldistribution VS type-natural

  Type-level well-kinded natural numbers.

• bed-and-breakfast

  8.2 0.0 normaldistribution VS bed-and-breakfast

  Matrix operations in 100% pure Haskell

• Decimal

  8.1 0.0 normaldistribution VS Decimal

  Decimal numbers with variable precision

• sbvPlugin

  8.1 6.3 normaldistribution VS sbvPlugin

  Formally prove properties of Haskell programs using SBV/SMT.

• polynomial

  8.0 0.0 normaldistribution VS polynomial

  Haskell library for manipulating and evaluating polynomials

• simple-smt

  8.0 1.6 normaldistribution VS simple-smt

  A simple way to interact with an SMT solver process.

• simd

  7.9 0.0 normaldistribution VS simd

  simple interface to ghc's simd vector support

• monoid-subclasses

  7.9 4.7 normaldistribution VS monoid-subclasses

  Subclasses of Monoid with a solid theoretical foundation and practical purposes

• mltool

  7.9 0.0 normaldistribution VS mltool

  Machine Learning Toolbox

• eigen

  7.9 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.

• manifold-random

  7.8 0.0 normaldistribution VS manifold-random

  Coordinate-free hypersurfaces as Haskell types

• hTensor

  7.8 0.0 normaldistribution VS hTensor

  Multidimensional arrays and simple tensor computations

• dimensions

  7.8 0.0 normaldistribution VS dimensions

  Many-dimensional type-safe numeric ops

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

Do you think we are missing an alternative of normaldistribution or a related project?

Less time debugging, more time building sponsored scoutapm.com

Popular Comparisons

• normaldistribution
  vs
  arrayfire
• hmatrix
  vs
  hmatrix-repa
• hmatrix
  vs
  hTensor
• Xorshift128Plus
  vs
  monoid-subclasses
• magma
  vs
  subhask

Deliver Cleaner and Safer Code - Right in Your IDE of Choice! sponsored www.sonarlint.org