head to head · open source
llama_index vs shopkeeper-agent
llama_index has 52,806 GitHub stars, 8,516 forks, 770 open issues and last shipped 2 days ago. shopkeeper-agent has 505 stars, 148 forks, 3 open issues and last shipped 22 days ago. llama_index leads on adoption by 10,357% (52,806 vs 505 stars). llama_index is written in Python under MIT; shopkeeper-agent is written in Python under MIT. llama_index has attracted 16% as many forks as stars, shopkeeper-agent 29%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (llm, rag, vector-database), 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
| llama_index | shopkeeper-agent | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 505 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-10-14 |
| Forks | ⑂ 8.5K | ⑂ 148 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT 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 llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
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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…
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Frequently asked questions
Is llama_index or shopkeeper-agent more popular?
llama_index has 52,806 GitHub stars and shopkeeper-agent has 505. llama_index has the larger community by that measure.
Are llama_index and shopkeeper-agent free?
Both are open source. llama_index is licensed under MIT and shopkeeper-agent under MIT. Neither carries a licence fee.
What is the difference between llama_index and shopkeeper-agent?
llama_index 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, llama_index or shopkeeper-agent?
Choose llama_index if you want the larger community (52,806 stars) or its MIT licence terms. Choose shopkeeper-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.