jan vs ollama

Common questions

What is the difference between jan and ollama?

jan: Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.. ollama: Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. See the comparison table for live GitHub stats and shared categories.

When should I choose jan over ollama?

Choose jan over ollama when jan is primarily TypeScript; ollama is Go; License: jan is Other, ollama is MIT; Requirements: Min 8 GB RAM; For macOS, 8GB RAM is required for 3B models, 16GB for 7B models, and 32GB for 13B models.; Windows users need version 10 or higher with GPU support for NVIDIA, AMD, or Intel Arc.; Linux users can run Jan on most distributions, with GPU acceleration available.; Jan and ollama are both focused on providing easy-to-use open-source applications for various LLMs to run locally; Tags unique to jan: chatgpt, gpt, llamacpp, localai; Also covers AI Agents; Use Jan when you need a self-hosted chatbot solution that can operate entirely offline on your local machine.

When should I choose ollama over jan?

Choose ollama over jan when ollama is primarily Go; jan is TypeScript; License: ollama is MIT, jan is Other; Jan and ollama are both focused on providing easy-to-use open-source applications for various LLMs to run locally; Tags unique to ollama: deepseek, gemma, glm, go; Also covers Inference & Serving, LLM Frameworks; ollama ships Docker support for self-hosted deployment; When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.

When should I avoid jan?

Do not use Jan if you require a cloud-based chatbot service with real-time updates and maintenance. Avoid Jan if your system does not meet the minimum hardware requirements, such as 8GB RAM for smaller models and up to 32GB for larger models. Jan may not be the best choice if you need a chatbot with extensive pre-trained models or continuous learning capabilities, as it operates offline and does not have access to the latest updates.

When should I avoid ollama?

If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack. When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.

Is jan or ollama more popular on GitHub?

ollama has more GitHub stars (181,196 vs 44,518). Stars measure visibility, not whether either tool fits your constraints.

Are jan and ollama open source?

Yes - both are open-source projects on GitHub (jan: Other, ollama: MIT).

Where can I find alternatives to jan or ollama?

GraphCanon lists graph-backed alternatives at jan alternatives and ollama alternatives (jan markdown twin, ollama markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, jan or ollama?

jan: Very active. ollama: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for jan and ollama?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; ollama trust report.