head to head · open source

Ollama vs llama_index

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. llama_index has 52,779 stars, 8,500 forks, 770 open issues and last shipped 8 days ago. Ollama leads on adoption by 252% (185,702 vs 52,779 stars). Ollama is written in Go under MIT; llama_index is written in Python under MIT. Ollama has attracted 10% as many forks as stars, llama_index 16%. Ollama 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.

Ollama ★ 186K llama_index ★ 53K category AI & Machine Learning

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Side by side

Ollama llama_index
GitHub stars ★ 186K ★ 53K
License MIT MIT
Written in Go Python
Last push 2026-11-02 2026-10-26
Forks ⑂ 19K ⑂ 8.5K
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 llama_index if

  • You want the llama_index feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and llama_index fits your workflow better

full llama_index 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 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 →

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Frequently asked questions

Is Ollama or llama_index more popular?

Ollama has 185,702 GitHub stars and llama_index has 52,779. Ollama has the larger community by that measure.

Are Ollama and llama_index free?

Both are open source. Ollama is licensed under MIT and llama_index under MIT. Neither carries a licence fee.

What is the difference between Ollama and llama_index?

Ollama is written in Go and llama_index in Python. 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 llama_index?

Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose llama_index if its feature set, stack or MIT licence fits better. Both are self-hostable.