Turing.jl
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Turing.jl: Bayesian inference with probabilistic programming.

Intuitive

Turing models are easy to write and communicate — syntax is close to mathematical notations.

General-purpose

Turing supports models with discrete parameters and stochastic control flow.

Modular and composable

Turing is modular, written entirely in Julia, and is interoperable with the powerful Julia ecosystem.

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Community Resources

The Turing.jl discourse forum provides support and discussion for all user levels. The Turing.jl documentation and official tutorials help users learn and use Turing.jl! There’s also a tutorial in Bayesian Statistics using Julia and Turing.jl.

Turing is created by Hong Ge, and lovingly maintained by the core team of volunteers.
The contents of this website are © 2018–2025 under the terms of the MIT License.

 
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