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Gen.jl

Gen.jl is a probabilistic programming system embedded in Julia for building probabilistic models and writing programmable inference algorithms.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Gen.jl — OpenViST project profile in AI Developer Tools & SDKs.
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Understand the project

Practical overview

When it fits

Use Gen.jl when a Julia project needs probabilistic model-building with programmable inference.

Who it is for

  • Julia developers building probabilistic models.
  • People creating tutorials and examples of probabilistic programming workflows.

Documented uses

  • Build probabilistic models in Julia.
  • Write programmable inference algorithms for those models.
  • Create tutorials and examples that demonstrate Gen.jl workflows.
Before you choose

Requirements & limits

  • Gen.jl is a Julia library, and installation is through Julia’s package manager.
  • The listed platforms are Linux, macOS and Windows.
  • The project is a developer tool for models and inference, rather than a hosted application.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Gen.jl and check the local installation

Add Gen.jl with Julia's package manager, load it, and run its package tests.

Before you start

  • Julia REPL with Julia's package manager.

Steps

  1. In the Julia REPL, type ] to enter Pkg REPL mode.

  2. Run add Gen to install the package. For the latest development version instead, run add https://github.com/probcomp/Gen.jl.git.

  3. Return to the Julia REPL or add using Gen at the top of a script to use the package.

  4. To test the installation locally, run using Pkg; Pkg.test("Gen").

Expected outcome

Gen.jl is installed and can be loaded in the Julia REPL or a script; the documented local test command is available.

Guide limitations

  • This guide covers installation and the local test command, not building a probabilistic model or running an inference workflow.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Gen.jlBuild probabilistic models in Julia.Linux, macOS, Windows
HyperposeCustomize pose-estimation architectures and datasets.Docker, Linux, macOS, Windows
Multi Task NlpDefine multiple tasks and their data and model settings in a YAML file.Linux, macOS, WindowsThe project is an open-source library under the Apache-2.0 license, distributed through its public GitHub repository.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
11 October 2026
Original website title
GitHub - probcomp/Gen.jl: A general-purpose probabilistic programming system with programmable inference · GitHub · Official homepage title · retained in its source language
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