head to head · open source

Ollama vs Jan

Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped yesterday. Jan has 44,516 stars, 3,032 forks, 521 open issues and last shipped today. Ollama leads on adoption by 307% (181,184 vs 44,516 stars). Ollama is written in Go under MIT; Jan is written in TypeScript under a custom or non-standard licence. Ollama has attracted 10% as many forks as stars, Jan 7%. Jan 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 ★ 181K Jan ★ 45K category AI & Machine Learning

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Side by side

Ollama Jan
GitHub stars ★ 181K ★ 45K
License MIT Custom / other
Written in Go TypeScript
Last push 2026-09-17 2026-09-18
Forks ⑂ 18K ⑂ 3.0K
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

full Ollama profile →

pick Jan if

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

full Jan profile →

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 Jan

Jan is an open source desktop application that serves as a ChatGPT replacement, enabling users to run large language models (LLMs) locally on their machines or connect to cloud based providers like OpenAI and Anthropic. It is built with Tauri, TypeScript, and integrates llama.cpp for efficient local inference, targeting privacy conscious users who want full control over their AI workflows without sending data to third parties.

read the full Jan overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n open-webui vs gpt4all llama-cpp vs vllm openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Ollama vs llama.cpp Ollama vs vllm Ollama vs GPT4All Ollama vs llama_index Ollama vs LocalAI Ollama vs faiss Ollama vs PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec

Frequently asked questions

Is Ollama or Jan more popular?

Ollama has 181,184 GitHub stars and Jan has 44,516. Ollama has the larger community by that measure.

Are Ollama and Jan free?

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

What is the difference between Ollama and Jan?

Ollama is written in Go and Jan 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 Jan?

Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose Jan if its feature set, stack or Custom / other licence fits better. Both are self-hostable.