head to head · open source
llama_index vs LLPhant
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. LLPhant has 1,722 stars, 179 forks, 36 open issues and last shipped yesterday. llama_index leads on adoption by 2,965% (52,779 vs 1,722 stars). llama_index is written in Python under MIT; LLPhant is written in PHP under MIT. llama_index has attracted 16% as many forks as stars, LLPhant 10%. LLPhant was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llamaindex), 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 | LLPhant | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 1.7K |
| License | MIT | MIT |
| Written in | Python | PHP |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 179 |
| 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 LLPhant if
- You want the LLPhant feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches PHP
- You evaluated both and LLPhant 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 LLPhant
LLPhant The PHP library for Gen AI and Vector Databases We designed this framework to be as simple as possible, while still providing you with the tools you need to build powerful apps. It is compatible with Symfony and Laravel. We are working to expand the support of different LLMs. Right now, we are supporting OpenAI, Anthropic, Mistral, Ollama, llmman, LM Studio, Atlas Cloud and services compatible with the OpenAI API such as LocalAI. Ollama that can be used to run LLM locally such as Llama 2. We want to thank few amazing projects that we use here or inspired us: the learnings from using LangChain and…
read the full LLPhant overview →
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Frequently asked questions
Is llama_index or LLPhant more popular?
llama_index has 52,779 GitHub stars and LLPhant has 1,722. llama_index has the larger community by that measure.
Are llama_index and LLPhant free?
Both are open source. llama_index is licensed under MIT and LLPhant under MIT. Neither carries a licence fee.
What is the difference between llama_index and LLPhant?
llama_index is written in Python and LLPhant in PHP. 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 LLPhant?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose LLPhant if its feature set, stack or MIT licence fits better. Both are self-hostable.