head to head · open source
llama_index vs selfhost-ai
llama_index has 52,206 GitHub stars, 8,165 forks, 770 open issues and last shipped today. selfhost-ai has 933 stars, 235 forks, 0 open issues and last shipped 7 days ago. llama_index leads on adoption by 5,495% (52,206 vs 933 stars). llama_index is written in Python under MIT; selfhost-ai is written in Shell under Apache-2.0. llama_index has attracted 16% as many forks as stars, selfhost-ai 25%. llama_index 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.
← all 8884 open source comparisons
Side by side
| llama_index | selfhost-ai | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 933 |
| License | MIT | Apache-2.0 |
| Written in | Python | Shell |
| Last push | 2026-09-18 | 2026-09-11 |
| Forks | ⑂ 8.2K | ⑂ 235 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick selfhost-ai if
- You want the selfhost-ai feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Shell
- You evaluated both and selfhost-ai fits your workflow better
About llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index overview →
About selfhost-ai
Selfhost AI — Self Hosted AI Automation Platform Deploy 30+ AI and automation tools with a single command. This open source Docker Compose template creates a complete self hosted environment with n8n (workflow automation), Flowise (AI agents), Ollama (local LLMs), vector databases (Qdrant, Weaviate), RAG engines, Supabase, monitoring stack, and more — all pre configured behind Caddy reverse proxy with automatic HTTPS. Plus, optionally import 300+ community workflows during setup! Table of Contents Key Features Why This Setup? What's Included Installation Quick Start and Usage Upgrading Quick Commands Troubleshoot…
read the full selfhost-ai overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is llama_index or selfhost-ai more popular?
llama_index has 52,206 GitHub stars and selfhost-ai has 933. llama_index has the larger community by that measure.
Are llama_index and selfhost-ai free?
Both are open source. llama_index is licensed under MIT and selfhost-ai under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and selfhost-ai?
llama_index is written in Python and selfhost-ai in Shell. 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 selfhost-ai?
Choose llama_index if you want the larger community (52,206 stars) or its MIT licence terms. Choose selfhost-ai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.