Create Pipe functions, with async and TypeScript support.
Official CLI tool for Pipers - A GitHub alternative for seamless git operations without sharing data with any LLM Engine like OPenAI
Directed Acyclic Word Graph
Download vujmeji
Pipe shell commands easily
CAN bus adapter abstraction layer supporting SocketCAN and GS-USB
Text-to-speech MCP server using Piper ONNX models
Shared data structures and utilities for Piper applications
Multilingual G2P (Grapheme-to-Phoneme) for TTS — eSpeak-ng free
Physics calculations for Piper robot including gravity compensation
Use vits model based on piper in Rust
A high-performance Rust library for streaming Text-to-Phoneme (G2P) conversion.
A rust crate to easily create a new trait function inspired by elixir's piping function declaration
CLI tool for Piper Plus neural text-to-speech synthesis
Use piper TTS models in Rust
Piper-TTS implementation in Rust
A Ruby management client to push JSON to Piper Push Cache.
FIFO-to-container-stdout piper
Galaaz brings the power of R to the Ruby community. Galaaz is based on TruffleRuby and FastR, GraalVM-based interpreters for Ruby and the R language for statistical computing respectively. Over the past two decades, the R language for statistical computing has emerged as the de facto standard for analysts, statisticians, and scientists. Today, a wide range of enterprises – from pharmaceuticals to insurance – depend on R for key business uses. FastR is a new implementation of the R language and environment for the Graal Virtual Machine. Galaaz tightly couples Ruby and R and allows the use of R inside a Ruby script. In a sense, Galaaz is similar to other solutions such as RinRuby, Rpy2, PipeR, and reticulate (https://blog.rstudio.com/2018/03/26/reticulate-r-interface-to-python/). However, since Galaaz couples TruffleRuby and FastR that both target the JVM there is no need to integrate both solutions and there is no need to send data between Ruby and R, as it all resides in the same VM. Further, installation of Galaaz does not require the installation of GNU R. When installing GraalVM, just install TruffleRuby and FastR.