Rhasspy3 Alternatives

Similar projects and alternatives to rhasspy3

llama.cpp

775 57,463 10.0 C++ rhasspy3 VS llama.cpp

LLM inference in C/C++
NLTK

64 13,035 8.1 Python rhasspy3 VS NLTK

NLTK Source
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
willow

37 2,365 9.6 C rhasspy3 VS willow

Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
llamafile

34 14,839 9.6 C++ rhasspy3 VS llamafile

Distribute and run LLMs with a single file.
outlines

32 5,799 9.7 Python rhasspy3 VS outlines

Structured Text Generation
magentic

10 1,597 9.3 Python rhasspy3 VS magentic

Seamlessly integrate LLMs as Python functions
pyscript

7 777 6.1 Python rhasspy3 VS pyscript

Pyscript adds rich Python scripting to HASS (by custom-components)
SaaSHub

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SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
ez-openai

2 16 6.9 Python rhasspy3 VS ez-openai

Ez API, ez life.
home-assistant-assist-desktop

1 82 9.5 Svelte rhasspy3 VS home-assistant-assist-desktop

Use Home Assistant Assist on the desktop. Compatible with Windows, MacOS, and Linux
openai_tts

1 28 7.7 Python rhasspy3 VS openai_tts

OpenAI TTS custom component for HA

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better rhasspy3 alternative or higher similarity.

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rhasspy3 reviews and mentions

Posts with mentions or reviews of rhasspy3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

Building a local AI smart Home Assistant
11 projects | news.ycombinator.com | 13 Jan 2024

As a user of Home Assistant, I would want to easily be able to try out different AI models with a single click from the user interface.
Home Assistant allows users to install add-ons which are Docker containers + metadata. This is how today users install Whisper or Piper for STT and TTS. Both these engines have a wrapper that speaks Wyoming, our voice assistant standard to integrate such engines, among other things. (https://github.com/rhasspy/rhasspy3/blob/master/docs/wyoming...)
If we rely on just the ChatGPT API to allow interacting with a model, we wouldn't know what capabilities the model has and so can't know what features to use to get valid JSON actions out. Can we pass our function definitions or should we extend the prompt with instructions on how to generate JSON?
Anyone working on linking local Ai with Home Assistant?
2 projects | /r/LocalLLaMA | 25 May 2023

A typical Home Assistant pipeline is as follows: WWD -> VAD -> ASR -> Intent Classification -> Event Handler -> TTS. (see [rhasspy](https://github.com/rhasspy/rhasspy3 for reference).