FunASR
★ 16.6k
vs
ken
★ 20
FunASR vs ken
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.; ken: Ken is a pure Go port of semble, providing fast hybrid code search for agents with drop-in MCP compatibility. It offers a single static binary distribution, approximately 44x fewer tokens than grep+Read at recall@10, and supports indexing source code and documentation. The retrieval algorithm is a verbatim port of semble's hybrid BM25 + Model2Vec approach.
01
TL;DR
Choose FunASR if…Meeting transcription with speaker labels, timestamps, and punctuation
Choose ken if…Agent code search: quickly find relevant code chunks across large codebases
02
Side-by-Side Comparison
03
Features
FunASR01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
ken01Pure Go, no cgo; single static binary with free cross-compilation
02Drop-in MCP-compatible with semble (same tool schemas and output format)
03Verbatim port of semble's hybrid BM25 + Model2Vec retrieval algorithm
04Measured ~44x fewer tokens than grep+Read at recall@10 on agent queries
05Fast cold start (~10–20ms for small indexes)
04
Use Cases
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)
ken↳Agent code search: quickly find relevant code chunks across large codebases
↳Embedded-corpus distribution: ship documentation as a single static binary with zero infrastructure
↳Database schema indexing: index live Postgres/SQLite/MySQL schemas for agent context
05
Best For
FunASRMost PopularVoice / SpeechLLM Infra
kenTrendingCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between FunASR and ken?
Both FunASR and ken are in the Voice / Speech category. FunASR has 16.6k stars, while ken has 20 stars.
Which is better, FunASR or ken?
The best choice depends on your use case. Choose FunASR if Meeting transcription with speaker labels, timestamps, and punctuation, and ken if Agent code search: quickly find relevant code chunks across large codebases.
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
Is ken free or open source?
Yes, ken is open source on GitHub (MIT).
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