head to head · open source

Ollama vs Langfuse

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. Langfuse has 36,898 stars, 4,146 forks, 926 open issues and last shipped yesterday. Ollama leads on adoption by 403% (185,702 vs 36,898 stars). Ollama is written in Go under MIT; Langfuse is written in TypeScript under a custom or non-standard licence. Ollama has attracted 10% as many forks as stars, Langfuse 11%. Langfuse 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 Langfuse ★ 37K category AI & Machine Learning

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Side by side

Ollama Langfuse
GitHub stars ★ 186K ★ 37K
License MIT Custom / other
Written in Go TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 4.1K
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 Langfuse if

  • You want the Langfuse feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches TypeScript
  • You evaluated both and Langfuse fits your workflow better

full Langfuse 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 Langfuse

Langfuse Cloud · Self Host · Demo Docs · Report Bug · Feature Request · Changelog · Roadmap · Langfuse is an open source LLM engineering platform. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be self hosted in minutes and is battle tested . Proudly made with ClickHouse open source database. 🧑‍💻 We're hiring Langfuse is growing fast (we doubled the team in the last 6 months) since January 2026 we're part of ClickHouse, we're hiring engineering hybrid across the EU. We hire engineers who love open source and great developer experiences. See open roles → ✨…

read the full Langfuse overview →

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Frequently asked questions

Is Ollama or Langfuse more popular?

Ollama has 185,702 GitHub stars and Langfuse has 36,898. Ollama has the larger community by that measure.

Are Ollama and Langfuse free?

Both are open source. Ollama is licensed under MIT, and Langfuse has no licence declared in this registry. Both are free to self-host.

What is the difference between Ollama and Langfuse?

Ollama is written in Go and Langfuse in TypeScript. 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 Langfuse?

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