Change Risk Anti-Patterns (CRAP) metric for Rust projects
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Updated
Aug 24, 2026 - Rust
Change Risk Anti-Patterns (CRAP) metric for Rust projects
A command line tool to identify complex code
Analyze key metrics like number of words, readability, complexity, code duplication, … of any kind of text
Reliable and efficient agent-based models in Rust
Calculate cognitive complexity of Rust code
Multi-language code complexity metrics (cognitive, cyclomatic, SLOC) powered by tree-sitter
A fast, polyglot measure of code complexity built for agent-guided refactoring.
Heuristic code and docs metrics for spotting AI slop, overengineering, and filler at a glance.
Computes CRAP scores for Rust functions by combining complexity and test coverage
Rust crate to translate between 1D indices and 2D coordinates with wrapping
Bounded-integer 3SUM via exact NTT convolution, built while learning Rust, algorithms
A library to extract snippets of complex code
Ranks your Rust code's complexity against your own codebase. No grades, no bug predictions, no model.
Snarky Dylint rules
This is a repetition of my Network's project (which I wrote in C++) but this time written in Rust. It implements a growing network with uniform probability distribution for new node connections as well as a growing network with a probability kernel proportional to the number of neighbours each vertex has (k).
Rust experiments on genomic motif complexity and assembly-theory-style metrics
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