modelscope/FunASR
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/modelscope/FunASR?utm_source=readme_chart)
Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/modelscope/FunASR?utm_source=readme_badge) [](https://githubrepo.cloud/repo/modelscope/FunASR?utm_source=readme_badge) [](https://githubrepo.cloud/repo/modelscope/FunASR?utm_source=readme_badge)
Momentum
+514
STARS · LAST 30 DAYS
17
PER DAY
#97
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +119 | +514 | +1.5K |
| Per day | 17 | 17 | 17 |
| 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
1
DAYS ON TRENDING
#2455
BEST RANK
Oct 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install FunASR using your package manager: `pip install FunASR`
Initialize your project workspace or configuration file for FunASR.
Import FunASR into your codebase or invoke it directly from your terminal.
Execute your test suite or run `FunASR --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #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.