RxInfer.jl

Spec sheet

Purpose

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

Deployment

desktopRead 24 Sep 2026 · rxinfer.com

Free plan

YesRead 24 Sep 2026 · rxinfer.com

Support

The project points users to GitHub Discussions for community support and tracks bug reports through GitHub Issues.Read 12 Oct 2026 · docs.rxinfer.com

License

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

Bayesian analysis

YesRead 24 Sep 2026 · rxinfer.com

Extensibility

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

Inference methods

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

Installation

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

Julia ecosystem

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

Limit

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

Model features

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

Modeling

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

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.Read 12 Oct 2026 · docs.rxinfer.com

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.Read 12 Oct 2026 · docs.rxinfer.com

Reactive engine

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

Scale

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

Scale and extensibility

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

Scripting support

YesRead 24 Sep 2026 · rxinfer.com

Session sharing

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

Streaming

Its inference API works with asynchronous infinite data streams as well as static datasets.Read 12 Oct 2026 · docs.rxinfer.com

Streaming data

The inference API works with asynchronous infinite data streams and static datasets.Read 12 Oct 2026 · docs.rxinfer.com

Telemetry

The package usage counter is enabled by default and records a timestamp, random UUID, and RxInfer and Julia versions; the docs say it collects no code or data and can be disabled.Read 12 Oct 2026 · docs.rxinfer.com

Plans and prices

Every RxInfer.jl plan and price →

Where Specifiction places it

• Statistical Analysis Software#32 of 1068.2