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YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

Python ◇ ai Apache-2.0
★10.8KSTARS
⑂1.2KFORKS
!38ISSUES
🏆#999GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+271

STARS · LAST 30 DAYS

9

PER DAY

#164

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+63+271+810
Per day999
Forks gained+6+25+62

YuE gained 271 stars in the last 30 days, about 9 a day, and now has 10.8K. It is about 2 years old and has averaged roughly 5.4K stars a year. It ranks #164 among Python repositories and #999 across all languages on GitHubRepo.

Trending Record

YuE has maintained a continuous presence across global trending indexes, peaking at #3198. Below is the 30-day activity profile:

💡 Overview

YuE is an open-source project written in Python: YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, audio-generation, deep-learning. 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 YuE

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

YuE 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 YuE.

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 YuE using your package manager: `pip install YuE`

2

Initialize your project workspace or configuration file for YuE.

3

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

4

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

👍 Strengths

Active community backing with 10,841 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

multimodal-art-projection/YuE is currently ranked #999 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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Frequently Asked Questions

What does YuE do? +

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

What language is YuE written in? +

The primary language is Python. Topics include: ai, audio-generation, deep-learning, foundation-models, gpt.

Is YuE actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 38 open issues being tracked.

How many stars does YuE have? +

YuE has 10,841 stars and 1,239 forks on GitHub.

How does YuE rank among GitHub repositories? +

With 10,841 stars, multimodal-art-projection/YuE is ranked #999 globally across all repositories tracked on GitHubRepo and #164 among Python projects.

What license is YuE distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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