DistanceTransform alternatives and similar packages

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

hmatrix

9.8 3.4 DistanceTransform VS hmatrix

Linear algebra and numerical computation
ad

9.8 5.5 DistanceTransform VS ad

Automatic Differentiation

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subhask

9.8 0.0 DistanceTransform VS subhask

Type safe interface for working in subcategories of Hask
vector

9.8 7.9 DistanceTransform VS vector

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

9.7 6.1 DistanceTransform VS statistics

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

9.6 5.4 DistanceTransform VS linear

Low-dimensional linear algebra primitives for Haskell.
what4

9.4 6.9 DistanceTransform VS what4

Symbolic formula representation and solver interaction library
HerbiePlugin

9.4 0.0 DistanceTransform VS HerbiePlugin

GHC plugin that improves Haskell code's numerical stability
hgeometry

9.4 0.0 DistanceTransform 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.
units

9.2 5.3 DistanceTransform VS units

The home of the units Haskell package
algebra

9.2 0.0 DistanceTransform VS algebra

constructive abstract algebra
grid

9.2 0.0 DistanceTransform VS grid

Tools for working with regular grids/graphs/lattices.
estimator

9.1 0.0 DistanceTransform VS estimator

State-space estimation algorithms and models
semigroups

9.1 1.1 DistanceTransform VS semigroups

Haskell 98 semigroups
dimensional

9.1 0.0 DistanceTransform VS dimensional

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

9.0 0.0 DistanceTransform VS computational-algebra

General-Purpose Computer Algebra System as an EDSL in Haskell
hermit

9.0 0.0 DistanceTransform VS hermit

Haskell Equational Reasoning Model-to-Implementation Tunnel
mwc-random

8.9 0.0 DistanceTransform VS mwc-random

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

8.9 3.8 DistanceTransform VS lambda-calculator

An introduction to the Lambda Calculus
matrix

8.8 0.0 DistanceTransform VS matrix

A Haskell native implementation of matrices and their operations.
numhask

8.8 6.8 DistanceTransform VS numhask

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

8.8 0.0 DistanceTransform VS hblas

haskell bindings for blas and lapack
vector-space

8.7 0.0 DistanceTransform VS vector-space

Vector & affine spaces, linear maps, and derivatives
math-functions

8.7 6.2 DistanceTransform VS math-functions

Special mathematical functions
vector-sized

8.6 4.6 DistanceTransform VS vector-sized

Size tagged vectors
poly

8.6 4.5 DistanceTransform VS poly

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

8.5 0.0 DistanceTransform VS bayes-stack

Framework for Gibbs sampling of probabilistic models
arrayfire

8.5 4.6 DistanceTransform VS arrayfire

Haskell bindings to ArrayFire
rampart

8.4 5.6 DistanceTransform VS rampart

:european_castle: Determine how intervals relate to each other.
rounded

8.4 5.1 DistanceTransform VS rounded

MPFR bindings for Haskell
deeplearning-hs

8.4 0.0 DistanceTransform VS deeplearning-hs

Deep Learning in Haskell
cf

8.4 0.0 DistanceTransform VS cf

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

8.4 0.0 DistanceTransform VS optimization

Some numerical optimization methods implemented in Haskell
equational-reasoning

8.3 5.8 DistanceTransform VS equational-reasoning

Agda-style equational reasoning in Haskell
safe-decimal

8.3 0.0 DistanceTransform VS safe-decimal

Safe and very efficient arithmetic operations on fixed decimal point numbers
monte-carlo

8.2 0.0 DistanceTransform VS monte-carlo

A Monte Carlo monad and transformer for Haskell.
sbvPlugin

8.2 6.3 DistanceTransform VS sbvPlugin

Formally prove properties of Haskell programs using SBV/SMT.
type-natural

8.2 6.2 DistanceTransform VS type-natural

Type-level well-kinded natural numbers.
simple-smt

8.2 0.0 DistanceTransform VS simple-smt

A simple way to interact with an SMT solver process.
bed-and-breakfast

8.2 3.1 DistanceTransform VS bed-and-breakfast

Matrix operations in 100% pure Haskell
intervals

8.1 0.0 DistanceTransform VS intervals

Interval Arithmetic
Decimal

8.1 2.7 DistanceTransform VS Decimal

Decimal numbers with variable precision
polynomial

7.9 0.0 DistanceTransform VS polynomial

Haskell library for manipulating and evaluating polynomials
monoid-subclasses

7.9 5.5 DistanceTransform VS monoid-subclasses

Subclasses of Monoid with a solid theoretical foundation and practical purposes
eigen

7.8 0.0 L2 DistanceTransform VS eigen

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

7.8 0.0 DistanceTransform VS dimensions

Many-dimensional type-safe numeric ops
simd

7.8 0.0 DistanceTransform VS simd

simple interface to ghc's simd vector support
mltool

7.8 0.0 DistanceTransform VS mltool

Machine Learning Toolbox
manifold-random

7.7 5.1 DistanceTransform VS manifold-random

Coordinate-free hypersurfaces as Haskell types
modular-arithmetic

7.7 3.7 DistanceTransform VS modular-arithmetic

A useful type for working with integers modulo some constant.

* 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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README

An N-dimensional distance transform that computes the Euclidean distance between each element in a discrete field and the nearest cell containing a zero.

The algorithm implemented is based off of Meijster et al., "A general algorithm for computing distance transforms in linear time." Parallel versions of both the Euclidean distance transform and squared Euclidean distance transform are also provided.