head to head · open source
llama_index vs unbody
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. unbody has 524 stars, 47 forks, 3 open issues and last shipped 7 months ago. llama_index leads on adoption by 9,972% (52,779 vs 524 stars). llama_index is written in Python under MIT; unbody is written in TypeScript under Apache-2.0. llama_index has attracted 16% as many forks as stars, unbody 9%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm, rag), 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 | unbody | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 524 |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-26 | 2026-04-14 |
| Forks | ⑂ 8.5K | ⑂ 47 |
| 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 unbody if
- You want the unbody feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and unbody 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…
read the full llama_index overview →
About unbody
Unbody (archived) This repository is archived and no longer actively maintained. Unbody started as an open source project to build the Supabase of the AI era. That vision has evolved. We now build under Unbody Labs — shipping focused tools and products for the AI world. Our most active and direct continuation of Unbody's mission is Adapt . → Adapt Adapt is a lightweight ( Original setup instructions Prerequisites Node.js LTS (20 or 22) Docker and Docker Compose yarn (npm won't install dependencies correctly) OpenAI API key Installation Environment Setup Running the Application Create Your First Project Add a…
read the full unbody overview →
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Frequently asked questions
Is llama_index or unbody more popular?
llama_index has 52,779 GitHub stars and unbody has 524. llama_index has the larger community by that measure.
Are llama_index and unbody free?
Both are open source. llama_index is licensed under MIT and unbody under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and unbody?
llama_index is written in Python and unbody in TypeScript. 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 unbody?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose unbody if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.