head to head · open source
vllm vs shopkeeper-agent
vllm has 96,314 GitHub stars, 24,404 forks, 7,953 open issues and last shipped yesterday. shopkeeper-agent has 505 stars, 148 forks, 3 open issues and last shipped 22 days ago. vllm leads on adoption by 18,972% (96,314 vs 505 stars). vllm is written in Python under Apache-2.0; shopkeeper-agent is written in Python under MIT. vllm has attracted 25% as many forks as stars, shopkeeper-agent 29%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| vllm | shopkeeper-agent | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 505 |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-10-14 |
| Forks | ⑂ 24K | ⑂ 148 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick shopkeeper-agent if
- You want the shopkeeper-agent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and shopkeeper-agent fits your workflow better
About vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
About shopkeeper-agent
「电商问数」智能数据分析 Agent shopkeeper agent 可能是全网最适合用于系统学习 LangGraph 的智能问数实战项目，配套系统性文字教程与对应章节分支，带你打通混合检索、多阶段推理、SQL 生成与执行全链路 快速开始 • 项目亮点 • 系统架构 • 配套教程 • 加入社群 📚 在线阅读 📢 说明 ：本套实战项目已更新完成，配套教程、章节分支和前后端代码均可对照学习。 如果你正在找一个适合学习 LangGraph 、 Qdrant 、 MySQL 、 FastAPI 和 AI Agent 工程开发的实战项目，「电商问数」很可能是最适合你的项目。 它不是只调用一次大模型接口，也不是写几个 Prompt 演示 SQL 生成结果。这个项目围绕电商数仓问数场景，先构建元数据知识库，再做字段、指标、字段取值的混合检索，随后用 LangGraph 编排多阶段问数流程，完成 SQL 生成、校验、修正、执行和前端流式展示。换句话说，你学到的不是某一个框架 API，而是一条 AI 应用从数据准备、检索增强、智能体编排、接口交付到前端联调的完整项目主线。 本套仓库是 ai agents from zero 教程体系中的 实战项目 电商问数 配套源码仓库，除了可直接运行和二次开发的项目代码之外，也提供了与教程章节对应的 Git 分支演进过程，以及完整的在线图文讲义入口。 如果你想系统学习「AI智能体…
read the full shopkeeper-agent overview →
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Frequently asked questions
Is vllm or shopkeeper-agent more popular?
vllm has 96,314 GitHub stars and shopkeeper-agent has 505. vllm has the larger community by that measure.
Are vllm and shopkeeper-agent free?
Both are open source. vllm is licensed under Apache-2.0 and shopkeeper-agent under MIT. Neither carries a licence fee.
What is the difference between vllm and shopkeeper-agent?
vllm is written in Python and shopkeeper-agent in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, vllm or shopkeeper-agent?
Choose vllm if you want the larger community (96,314 stars) or its Apache-2.0 licence terms. Choose shopkeeper-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.