head to head · open source

Ollama vs LLPhant

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. LLPhant has 1,722 stars, 179 forks, 36 open issues and last shipped yesterday. Ollama leads on adoption by 10,684% (185,702 vs 1,722 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.

Ollama ★ 186K LLPhant ★ 1.7K category AI & Machine Learning

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Side by side

Ollama LLPhant
GitHub stars ★ 186K ★ 1.7K
License MIT MIT
Written in Go PHP
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 179
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

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

full LLPhant profile →

About Ollama

Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

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…

read the full LLPhant overview →

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Frequently asked questions

Is Ollama or LLPhant more popular?

Ollama has 185,702 GitHub stars and LLPhant has 1,722. 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 (185,702 stars) or its MIT licence terms. Choose LLPhant if its feature set, stack or MIT licence fits better. Both are self-hostable.