OpenGM

Discrete optimization and inference solver for factor graphs

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is OpenGM?

OpenGM is a powerful tool for solving discrete optimization problems using factor graph models. It supports various algorithms and can be used in computer vision tasks, among others.

Key differentiator

OpenGM stands out with its comprehensive support for discrete optimization and inference on factor graphs, making it a versatile tool for researchers and developers working on complex problems.

Capability profile

Strength Radar

Support for vari…Factor graph rep…Modular design a…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Support for various discrete optimization algorithms

Factor graph representation of problems

Modular design allowing easy integration with other tools

Fit analysis

Who is it for?

✓ Best for

Researchers working on discrete optimization problems who need a flexible framework for experimentation

Developers implementing computer vision algorithms that require factor graph inference

✕ Not a fit for

Projects requiring real-time performance as OpenGM may not be optimized for speed in all scenarios

Applications where the problem cannot be represented using factor graphs

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with OpenGM

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →