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code-graph-context vs FunASR
code-graph-context logo
code-graph-context
★ 14
vs
FunASR logo
FunASR
★ 16.6k

code-graph-context vs FunASR

code-graph-context: Code Graph Context is an MCP server that builds a semantic graph of TypeScript codebases, enabling AI assistants like Claude to understand dependencies, perform impact analysis, and coordinate multi-file changes. It supports local or OpenAI embeddings, incremental parsing, and swarm coordination for parallel refactoring.; 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

code-graph-context logoChoose code-graph-context if…

Understand codebase dependencies and perform refactoring risk analysis

FunASR logoChoose FunASR if…

Meeting transcription with speaker labels, timestamps, and punctuation

02

Side-by-Side Comparison

Field
code-graph-context logocode-graph-context
FunASR logoFunASR
Category
RAG / Knowledge Base
Voice / Speech
Stars
★ 14
★ 16.6k
License
MIT
MIT
Updated
2w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-code-analysis, claude-code, code-graph-rag
asr, audio, chinese
03

Features

code-graph-context logocode-graph-context
01Multi-project support with complete isolation
02Semantic code search via vector embeddings
03Framework-aware parsing with custom schema support
04Weighted graph traversal for impact analysis
05Swarm coordination for parallel multi-agent tasks
FunASR logoFunASR
01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
04

Use Cases

code-graph-context logocode-graph-context
↳Understand codebase dependencies and perform refactoring risk analysis
↳Find duplicate code, dead code, and semantic similarities
↳Coordinate multiple AI agents for parallel code changes
FunASR logoFunASR
↳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

code-graph-context logocode-graph-context
TrendingRAG / Knowledge BaseData Processing
FunASR logoFunASR
Most PopularVoice / SpeechLLM Infra
FAQ

FAQ

What is the difference between code-graph-context and FunASR?
Both code-graph-context and FunASR are in the RAG / Knowledge Base category. code-graph-context has 14 stars, while FunASR has 16.6k stars.
Which is better, code-graph-context or FunASR?
The best choice depends on your use case. Choose code-graph-context if Understand codebase dependencies and perform refactoring risk analysis, and FunASR if Meeting transcription with speaker labels, timestamps, and punctuation.
Is code-graph-context free or open source?
Yes, code-graph-context is open source on GitHub (MIT).
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
→

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