RxInfer.jl

Plans and prices

Every plan, in full

On the record

Bayesian analysis

Yesrxinfer.com · read 24 Sep 2026

Deployment

desktoprxinfer.com · read 24 Sep 2026

Extensibility

The project describes support for custom operations and extensions with custom nodes and message update rules.rxinfer.com · read 12 Oct 2026

Inference methods

It supports exact and variational inference algorithms.docs.rxinfer.com · read 12 Oct 2026

Installation

RxInfer is an officially registered Julia package installable with Julia's package manager.docs.rxinfer.com · read 12 Oct 2026

Julia ecosystem

RxInfer is built around ReactiveMP.jl for message passing, GraphPPL.jl for model and constraint specification, and Rocket.jl for reactive programming.docs.rxinfer.com · read 12 Oct 2026

License

RxInfer.jl is an MIT-licensed open-source project.rxinfer.com · read 12 Oct 2026

Limit

The documentation notes that not all message-passing rules have analytical solutions; some cases may require numerical approximations or a different model structure.docs.rxinfer.com · read 12 Oct 2026

Model features

Its documented features include hybrid models with discrete and continuous latent variables, factorization constraints, graph visualization, and custom plugins.docs.rxinfer.com · read 12 Oct 2026

Modeling

It uses GraphPPL.jl to specify probabilistic models and inference constraints.docs.rxinfer.com · read 12 Oct 2026

Purpose

RxInfer.jl is a Julia package for Bayesian inference on factor graphs using reactive message passing.docs.rxinfer.com · read 12 Oct 2026

Python access

Documentation describes a REST API and Python SDK through RxInferServer.jl and RxInferClient.py, maintained by Lazy Dynamics as third-party projects that are not actively maintained by the core team.docs.rxinfer.com · read 12 Oct 2026

Python integration

A separate, third-party RxInferServer.jl REST API and RxInferClient.py SDK provide a way to use RxInfer from Python; the core team says these projects are unmaintained by it.docs.rxinfer.com · read 12 Oct 2026

Reactive engine

ReactiveMP.jl provides its message-passing inference engine, and Rocket.jl provides reactive extensions for Julia.docs.rxinfer.com · read 12 Oct 2026

Scale

The maker says it is designed to scale to models with millions of parameters and observations.rxinfer.com · read 12 Oct 2026

Scale and extensibility

The documentation describes scalability to models with millions of parameters and observations, and support for custom nodes and message update rules.docs.rxinfer.com · read 12 Oct 2026

Scripting support

Yesrxinfer.com · read 24 Sep 2026

Session sharing

Session sharing is optional; the docs say shared sessions contain metadata and errors, not actual data, and can be inspected locally.docs.rxinfer.com · read 12 Oct 2026

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