Amazing Event Handling and Routing using Eve
Web version of rhasspy/piper running locally in the browser
Wasm Version of rhasspy/piper running locally in the browser
Utility library for Piper
Wasm build of rhasspy / piper
Piper is a protocol for driving audio feature extractors. This library provides ways of implementing clients and servers in JavaScript for the Piper protocol.
Piper TTS engine for the browser with transparent Service Worker integrity verification.
Pi extension for local tools voice capture, Whisper transcription, and Piper TTS playback
AI-powered announcement generator using Piper TTS and OpenAI GPT models
Offline text-to-speech via Piper binary for AgentOS voice pipeline
Piper admin framework — core types and utilities
Chili Piper Concierge Fire
Tools for functional composition
A Pi package that adds a /piper-tts command (and /tts alias) for speaking the latest assistant message with Piper TTS.
Piper admin framework — Refine bridge, hooks, auth providers, data provider
A control panel generator for APIed-Piper
Chili Piper Concierge
An amazing SDK connector for APIed-Piper
Piper admin framework — UI components (shadcn/ui + custom)
Speech-to-text and text-to-speech for OpenCode. Record voice prompts with whisper-cpp, hear responses via Piper TTS, with LLM normalization through any OpenAI-compatible endpoint.
Fork of @mintplex-labs/piper-tts-web for easier built-in PiperTTS use.
Fork of @diffusion-studio/vits-web for easier built-in PiperTTS use.
Browser-based multilingual neural TTS with VITS. Supports Japanese, English, Chinese, Korean, Spanish, French, Portuguese, and Swedish.
Node wrapper for Piper APIs
An asynchronous single-consumer single-producer pipe for bytes.
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
Spice up your vanilla rails app with some SPA like benefits without the added complexity of a client-side JavaScript framework. From within javascript, there is no straightforward way (at least I'm aware of) to invalidate/reload a partial. Articles describing techniques such as this one have been around for some time now. This gem builds on techniques such as that one, and allows you to reload partials by following a few simple conventions.
Event driven Raspberry Pi GPIO library
A Ruby management client to push JSON to Piper Push Cache.
Simple wrapper to process csv's with a pipeline of testable processors.
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Unix-like pipes in Ruby
FIFO-to-container-stdout piper
Pipelines for streaming large collections with composition inspired by Elixir pipes.
Process files using pipelines
Piperb provides declarative step definitions, automatic dependency resolution, and sequential execution for building data pipelines in Ruby.
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.
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