head to head · open source
Ollama vs LLPhant
Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped yesterday. LLPhant has 1,708 stars, 172 forks, 36 open issues and last shipped 11 days ago. Ollama leads on adoption by 10,508% (181,184 vs 1,708 stars). Ollama is written in Go under MIT; LLPhant is written in PHP under MIT. Ollama has attracted 10% as many forks as stars, LLPhant 10%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Ollama | LLPhant | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 1.7K |
| License | MIT | MIT |
| Written in | Go | PHP |
| Last push | 2026-09-17 | 2026-09-07 |
| Forks | ⑂ 18K | ⑂ 172 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- 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 Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama 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 LLamaInd…
read the full LLPhant overview →
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Frequently asked questions
Is Ollama or LLPhant more popular?
Ollama has 181,184 GitHub stars and LLPhant has 1,708. Ollama has the larger community by that measure.
Are Ollama and LLPhant free?
Both are open source. Ollama is licensed under MIT and LLPhant under MIT. Neither carries a licence fee.
What is the difference between Ollama and LLPhant?
Ollama is written in Go 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, Ollama or LLPhant?
Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose LLPhant if its feature set, stack or MIT licence fits better. Both are self-hostable.