sgl-project/sglang-omni
High Performance Serving Runtime For Interactive Super Intelligence System
⚡ Executive Summary & Quick Facts
Authoritative Sourcesglang-omni is sglang-omni is an open-source project written in Python: SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), sgl-project/sglang-omni has accumulated 1,639 GitHub stars and 656 forks. It is written in Python, licensed under Apache-2.0, and ranks #5,644 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
| Repository | sgl-project/sglang-omni ↗ |
|---|---|
| Primary Category | asr |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.6K stars · ⑂ 656 forks · #5,644 globally |
| Maintenance | ● Active (Last commit: Oct 28, 2026) · 957 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, sglang-omni is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (5 days ago). Supported by 1,639 stars and 656 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (957 open).
Star History
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+335
STARS · LAST 30 DAYS
11
PER DAY
#789
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +98 | +335 | +990 |
| Per day | 14 | 11 | 11 |
| Forks gained | +42 | +118 | +33 |
sglang-omni gained 335 stars in the last 30 days, about 11 a day, and now has 1.6K. It is about 1 year old and has averaged roughly 1.6K stars a year. It ranks #789 among Python repositories and #5,644 across all languages on GitHubRepo.
Trending Record
29
DAYS ON TRENDING
#222
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sglang-omni has maintained a continuous presence across global trending indexes, peaking at #222. Below is the 30-day activity profile:
💡 Overview
sglang-omni is an open-source project written in Python: SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
Engineered for speed, consistency, and developer ease, it solves common hurdles in asr, audio-generation, cuda. 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 sglang-omni⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sglang-omni 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 sglang-omni.
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 sglang-omni using your package manager: `pip install sglang-omni`
Initialize your project workspace or configuration file for sglang-omni.
Import sglang-omni into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sglang-omni --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
sgl-project/sglang-omni is currently ranked #5,644 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does sglang-omni do? +
High Performance Serving Runtime For Interactive Super Intelligence System
Is sglang-omni actively maintained in 2026? +
Yes, sglang-omni is actively maintained. The latest code push was recorded on Oct 28, 2026 (5 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,639 stars and 957 open issues.
What language is sglang-omni written in? +
The primary language is Python. Topics include: asr, audio-generation, cuda, distributed-inference, inference.
How many stars does sglang-omni have? +
sglang-omni has 1,639 stars and 656 forks on GitHub.
How does sglang-omni rank among GitHub repositories? +
With 1,639 stars, sgl-project/sglang-omni is ranked #5,644 globally across all repositories tracked on GitHubRepo and #789 among Python projects.
What license is sglang-omni distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
