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

vector
An efficient implementation of Intindexed arrays (both mutable and immutable), with a powerful loop optimisation framework . 
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. 
dimensional
Dimensional library variant built on Data Kinds, Closed Type Families, TypeNats (GHC 7.8+). 
numhask
A haskell numeric prelude, providing a clean structure for numbers and operations that combine them. 
poly
Fast polynomial arithmetic in Haskell (dense and sparse, univariate and multivariate, usual and Laurent) 
eigen
Haskel binding for Eigen library. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
CodeRabbit: AI Code Reviews for Developers
* 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 probable or a related project?
README
probable
Simple random value generation for haskell, using an efficient random generator and minimizing system calls. But the library also lets you work with distributions over a finite set, adapting code from Eric Kidd's posts, and all the usual distributions covered in the statistics package.
You can see how it looks in examples, or below. You can view the documentation for 0.1 here.
Example
Simple example of random generation for your types, using probable.
module Main where
import Control.Applicative
import Control.Monad
import Math.Probable
import qualified Data.Vector.Unboxed as VU
data Person = Person
{ age :: Int
, weight :: Double
, salary :: Int
} deriving (Eq, Show)
person :: RandT IO Person
person =
Person <$> intIn (1, 100)
<*> doubleIn (2, 130)
<*> intIn (500, 10000)
randomPersons :: Int > IO [Person]
randomPersons n = mwc $ listOf n person
randomDoubles :: Int > IO (VU.Vector Double)
randomDoubles n = mwc $ vectorOf n double
main :: IO ()
main = do
randomPersons 10 >>= mapM_ print
randomDoubles 10 >>= VU.mapM_ print
Distributions over finite sets, conditional probabilities and random sampling.
module Main where
import Math.Probable
import qualified Data.Vector as V
data Book = Interesting
 Boring
deriving (Eq, Show)
bookPrior :: Finite d => d Book
bookPrior = weighted [ (Interesting, 0.2)
, (Boring, 0.8)
]
twoBooks :: Finite d => d (Book, Book)
twoBooks = do
book1 < bookPrior
book2 < bookPrior
return (book1, book2)
sampleBooks :: RandT IO (V.Vector Book)
sampleBooks = vectorOf 10 bookPrior
oneInteresting :: Fin (Book, Book)
oneInteresting = bayes $ do
(b1, b2) < twoBooks
condition (b1 == Interesting  b2 == Interesting)
return (b1, b2)
main :: IO ()
main = do
print $ exact bookPrior
mwc sampleBooks >>= print
print $ exact twoBooks
print $ exact oneInteresting
Contact
This library is written and maintained by Alp Mestanogullari.
Feel free to contact me for any feedback, comment, suggestion, bug report and what not.