OpenGM
Discrete optimization and inference solver for factor graphs
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
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
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
OpenGM's primary language is C++, which may be challenging for developers unfamiliar with the language or its idioms.
The official documentation lacks comprehensive examples and tutorials, making it difficult to understand how to use advanced features effectively.
Extensive use of C++ templates can lead to longer compilation times and larger binary sizes compared to more straightforward implementations.
While powerful for discrete optimization problems, OpenGM's specialized approach makes it less suitable for a broader range of computational tasks outside its domain.
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
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with OpenGM
Step-by-step setup guide with code examples and common gotchas.