vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
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+2.3K
STARS · LAST 30 DAYS
78
PER DAY
#25
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +375 | +2.3K | +7K |
| Per day | 54 | 78 | 78 |
| Forks gained | +278 | +460 | +1.2K |
vllm gained 2.3K stars in the last 30 days, about 78 a day, and now has 93.2K. It is about 4 years old and has averaged roughly 23.3K stars a year. It ranks #25 among Python repositories and #96 across all languages on GitHubRepo.
Trending Record
13
DAYS ON TRENDING
#74
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
vllm has maintained a continuous presence across global trending indexes, peaking at #74. Below is the 30-day activity profile:
💡 Overview
vllm is an open-source project written in Python: A high-throughput and memory-efficient inference and serving engine for LLMs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in amd, blackwell, 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 vllm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
vllm 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 vllm.
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 vllm using your package manager: `pip install vllm`
Initialize your project workspace or configuration file for vllm.
Import vllm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `vllm --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
vllm-project/vllm is currently ranked #96 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #91 | ruvnet/RuView | Rust | ★ 96.6K | Compare ↗ |
| #92 | punkpeye/awesome-mcp-servers | — | ★ 95.7K | Compare ↗ |
| #93 | puppeteer/puppeteer | TypeScript | ★ 95.6K | Compare ↗ |
| #94 | thedotmack/claude-mem | TypeScript | ★ 95.2K | Compare ↗ |
| #95 | 3b1b/manim | Python | ★ 94.4K | Compare ↗ |
| #96 | vllm-project/vllm This Project | Python | ★ 93.2K | |
| #97 | sherlock-project/sherlock | Python | ★ 93K | Compare ↗ |
| #98 | louislam/uptime-kuma | JavaScript | ★ 92.1K | Compare ↗ |
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Frequently Asked Questions
What does vllm do? +
A high-throughput and memory-efficient inference and serving engine for LLMs
What language is vllm written in? +
The primary language is Python. Topics include: amd, blackwell, cuda, deepseek, deepseek-v3.
Is vllm actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 8,463 open issues being tracked.
How many stars does vllm have? +
vllm has 93,212 stars and 23,012 forks on GitHub.
How does vllm rank among GitHub repositories? +
With 93,212 stars, vllm-project/vllm is ranked #96 globally across all repositories tracked on GitHubRepo and #25 among Python projects.
What license is vllm distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
