A blazing-fast Ruby linter and formatter, reimplemented in Rust
RFC 3261 SIP URI (§19.1) and Address (§25.1) parser/serializer
High-performance PEG parser library with packrat memoization and arena allocation
Knowledge storage, retrieval, and graph infrastructure for cognitive systems
Avant-garde Network Application Server for illumos
Declarative Kalman filtering from dynamics expressions. Write the physics, derive the filter.
Shared DSP library for voice analysis (pitch, formants, spectral features)
A SQLite extension for working with regular expressions
Code metrics tool — health score, complexity, duplication, hotspots, ownership
A highly parallel Perl 5 interpreter written in Rust
Embedded graph database with Cypher queries — no server, no subscription, no cloud
Schema catalog (labels, properties, rel-types) for SparrowDB
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
Ruby wrapper for LIBLINEAR, a library for large linear classification