head to head · open source

Ollama vs LangWatch

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. LangWatch has 5,004 stars, 426 forks, 939 open issues and last shipped yesterday. Ollama leads on adoption by 3,611% (185,702 vs 5,004 stars). Ollama is written in Go under MIT; LangWatch is written in TypeScript under Apache-2.0. Ollama has attracted 10% as many forks as stars, LangWatch 9%. LangWatch 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 LangWatch ★ 5.0K category AI & Machine Learning

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Side by side

Ollama LangWatch
GitHub stars ★ 186K ★ 5.0K
License MIT Apache-2.0
Written in Go TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 426
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 LangWatch if

  • You want the LangWatch feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and LangWatch fits your workflow better

full LangWatch 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 LangWatch

Website · Docs · Discord · Self hosting Why LangWatch? The platform for LLM evaluations and AI agent testing. We help teams test, simulate, evaluate, and monitor LLM powered agents end to end — before release and in production. Built for teams that need regression testing, simulations, and production observability without building custom tooling. End to end agent simulations Run realistic scenarios against your full stack (tools, state, user simulator, judge) and pinpoint where your agents break, and why? down to each decision. Eval + observability + prompts in one loop Trace → dataset → evaluate → optimize…

read the full LangWatch overview →

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Frequently asked questions

Is Ollama or LangWatch more popular?

Ollama has 185,702 GitHub stars and LangWatch has 5,004. Ollama has the larger community by that measure.

Are Ollama and LangWatch free?

Both are open source. Ollama is licensed under MIT and LangWatch under Apache-2.0. Neither carries a licence fee.

What is the difference between Ollama and LangWatch?

Ollama is written in Go and LangWatch 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 LangWatch?

Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose LangWatch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.