py-xiaozhi
★ 3.5k
vs
FunASR
★ 20.8k
py-xiaozhi vs FunASR
py-xiaozhi: py-xiaozhi is a Python-based client for the Xiaozhi AI voice assistant, designed for learning through code and experiencing AI voice features without dedicated hardware. It integrates core AI capabilities like voice interaction, visual multi-modality, and smart wake-up, alongside a rich MCP tool ecosystem and IoT device integration.; FunASR: FunASR is a fundamental end-to-end speech recognition toolkit. It offers industrial-grade speech recognition, being 170x faster than Whisper, supporting over 50 languages, and integrating features like speaker diarization, emotion detection, and streaming.
01
TL;DR
py-xiaozhiVoice / Speech · ★ 3.5k
When to choose:
- You want to try the Xiaozhi voice assistant on a computer without ESP32 hardware.
- You want offline wake words with Sherpa-ONNX, echo cancellation and a GUI or command-line mode.
- You want ready MCP tools such as schedules, timers, music, train tickets, web search and maps.
When to skip:
- You want a self-contained assistant: AI features depend on the Xiaozhi service.
- You cannot use Python 3.9 to 3.12, working audio devices and an internet connection.
- You want to self-host the backend: that is the server projects' job.
FunASRVoice / Speech · ★ 20.8k
When to choose:
- You are building transcription, meeting notes or a voice agent and need the recognition layer, especially for Chinese with dialects and accents.
- You want more than transcription: voice activity detection, punctuation, speaker pipelines and emotion tags.
- You want to deploy on GPU, CPU, streaming servers, Docker or edge through GGUF, or serve an OpenAI-compatible API.
When to skip:
- You want a finished assistant: it is a toolkit for the recognition layer.
- You plan commercial use without checking model licences: weights are licensed separately from the MIT code.
- Your main languages are outside Chinese and a handful of others: coverage varies by model.
02
Side-by-Side Comparison
03
Features
py-xiaozhi01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
FunASR01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
04
Use Cases
py-xiaozhi↳Learning Python AI voice client development
↳Experiencing Xiaozhi AI voice features on PC
↳Remote or automated smart device control
FunASR↳Meeting transcription with speaker labels, timestamps, and punctuation
↳Deployment as an OpenAI-compatible API server
↳Integration with AI agents (e.g., Claude, LangChain, Dify, AutoGen)
05
Best For
py-xiaozhi—
FunASRMost Popular
FAQ
FAQ
What is the difference between py-xiaozhi and FunASR?
Both py-xiaozhi and FunASR are in the Voice / Speech category. py-xiaozhi has 3.5k stars, while FunASR has 20.8k stars.
Which is better, py-xiaozhi or FunASR?
The best choice depends on your use case. Choose py-xiaozhi if Learning Python AI voice client development, and FunASR if Meeting transcription with speaker labels, timestamps, and punctuation.
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
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