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modelscope/FunASR

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Python ◇ asr MIT
★20.6KSTARS
⑂2.1KFORKS
!36ISSUES
🏆#538GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+514

STARS · LAST 30 DAYS

17

PER DAY

#97

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+119+514+1.5K
Per day171717
Forks gained+10+41+103

FunASR gained 514 stars in the last 30 days, about 17 a day, and now has 20.6K. It is about 4 years old and has averaged roughly 5.1K stars a year. It ranks #97 among Python repositories and #538 across all languages on GitHubRepo.

Trending Record

FunASR has maintained a continuous presence across global trending indexes, peaking at #2455. Below is the 30-day activity profile:

💡 Overview

FunASR is an open-source project written in Python: Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Engineered for speed, consistency, and developer ease, it solves common hurdles in asr, audio, chinese. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install FunASR

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

FunASR coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with FunASR.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install FunASR using your package manager: `pip install FunASR`

2

Initialize your project workspace or configuration file for FunASR.

3

Import FunASR into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `FunASR --help` to verify successful setup.

👍 Strengths

Active community backing with 20,570 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

modelscope/FunASR is currently ranked #538 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#533 gofr-dev/gofr Go ★ 20.9K Compare ↗
#534 sveltejs/kit JavaScript ★ 20.8K Compare ↗
#535 apache/shardingsphere Java ★ 20.8K Compare ↗
#536 dotnet/roslyn C# ★ 20.7K Compare ↗
#537 birobirobiro/awesome-shadcn-ui TypeScript ★ 20.6K Compare ↗
#538 modelscope/FunASR This Project Python ★ 20.6K
#539 google/filament C++ ★ 20.5K Compare ↗
#540 DrewThomasson/ebook2audiobook Python ★ 20.2K Compare ↗
#541 pydantic/pydantic-ai Python ★ 20.2K Compare ↗
#542 rrweb-io/rrweb TypeScript ★ 20.2K Compare ↗
#543 1jehuang/jcode Rust ★ 20.2K Compare ↗

Frequently Asked Questions

What does FunASR do? +

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

What language is FunASR written in? +

The primary language is Python. Topics include: asr, audio, chinese, emotion-recognition, funasr.

Is FunASR actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 36 open issues being tracked.

How many stars does FunASR have? +

FunASR has 20,570 stars and 2,054 forks on GitHub.

How does FunASR rank among GitHub repositories? +

With 20,570 stars, modelscope/FunASR is ranked #538 globally across all repositories tracked on GitHubRepo and #97 among Python projects.

What license is FunASR distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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