lazyppl: Lazy Probabilistic Programming Library

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LazyPPL is a Haskell library for Bayesian probabilistic programming. It supports lazy use of probability, which is useful for specifying non-parametric models, and we provide new Metropolis-Hastings algorithms to allow this. For illustrations, see https://lazyppl-team.github.io/.

Note: the Gaussian process module (LazyPPL.Distributions.GP) uses hmatrix, which links against LAPACK. On Ubuntu install with sudo apt-get install libgsl0-dev liblapack-dev.

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Versions [RSS] 1.0, 1.0.1
Change log ChangeLog.md
Dependencies base (>=4.7 && <9), containers (>=0.6.5.1), hmatrix (>=0.20.2), log-domain (>=0.13.2), math-functions (>=0.3.4.2), mtl (>=2.2.2), random (>=1.2.0), transformers (>=0.5.6.2) [details]
Tested with ghc ==8.10.7, ghc ==9.6.7, ghc ==9.8.4, ghc ==9.10.1
License MIT
Copyright 2021-2026 LazyPPL team
Author LazyPPL team
Maintainer sam.staton@cs.ox.ac.uk
Uploaded by samstaton at 2026-05-04T11:15:46Z
Category Statistics
Home page https://lazyppl-team.github.io/
Bug tracker https://github.com/lazyppl-team/lazyppl/issues
Source repo head: git clone https://github.com/lazyppl-team/lazyppl
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Downloads 96 total (8 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2026-05-04 [all 1 reports]