gaimc
Efficient graph algorithms in pure Matlab code for complementing MatlabBGL's functions.
Pricing
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Adoption
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Open Source
Data freshness
—Overview
What is gaimc?
GAIMC provides efficient implementations of graph algorithms using only pure Matlab code, designed to complement the functionalities provided by MatlabBGL's mex functions. This tool is essential for developers and researchers who need high-performance graph processing capabilities within their Matlab environment.
Key differentiator
“GAIMC stands out by offering efficient pure-Matlab implementations of graph algorithms, making it ideal for users who need high-performance processing without the dependency on mex files.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Developers working on graph-related projects who prefer or require pure Matlab implementations without mex files.
Researchers needing high-performance graph processing capabilities within the Matlab environment.
✕ Not a fit for
Projects requiring real-time graph processing as GAIMC might not be optimized for such use cases.
Users looking for a comprehensive set of graph algorithms that include mex functions, as this tool complements but does not replace MatlabBGL's functionalities.
Cost structure
Pricing
Free Tier
None
Starts at
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Model
Flat rate
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Performance benchmarks
How Fast Is It?
Next step
Get Started with gaimc
Step-by-step setup guide with code examples and common gotchas.