Comparison
jan vs ollama
Verdict
Pick jan if jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT; pick ollama if ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and.
Markdown twin · jan alternatives · ollama alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | jan | ollama |
|---|---|---|
| Maintenance | Very active (1d since push) As of 2d · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Published findings As of 1w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 2w · openssf-scorecard@v1 |
Tagline
- jan
- open source alternative to ChatGPT that runs offline locally
- ollama
- Get up and running with various large language models using Ollama.
Stars
- jan
- 44k
- ollama
- 178k
Forks
- jan
- 3.0k
- ollama
- 17k
Open issues
- jan
- 453
- ollama
- 3.6k
Language
- jan
- TypeScript
- ollama
- Go
Adopt for
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
- ollama
- Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and
Persona
- jan
- -
- ollama
- -
Runtime
- jan
- -
- ollama
- -
License
- jan
- Other
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
Last pushed
- jan
- Aug 14, 2026
- ollama
- Jul 31, 2026
Categories
- jan
- Inference & Serving, LLM Frameworks
- ollama
- Inference & Serving, LLM Frameworks
Trust and health
Open issues (now)
- jan
- 453
- ollama
- 3.6k
Stars delta
- jan
- +426 (30d)
- ollama
- Unknown
Open issues delta
- jan
- +69 (30d)
- ollama
- Unknown
OSV dependency advisories
- jan
- No lockfile (source not queried)
- ollama
- Published findings
deps.dev advisories
- jan
- Not queried
- ollama
- Published findings
OpenSSF Scorecard
- jan
- Not queried
- ollama
- No public record from this source
Full report
- jan
- Trust report
- ollama
- Trust report
Typed relationship
Choose jan if…
- jan is primarily TypeScript; ollama is Go.
- License: jan is Other, ollama is MIT.
- 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, llm.
- - If you require an offline-capable AI assistant for environments without internet access.
When NOT to use jan
- - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates.
- - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information.
Choose ollama if…
- ollama is primarily Go; jan is TypeScript.
- License: ollama is MIT, jan is Other.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- 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.
- ollama ships Docker support for self-hosted deployment.
- Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or
When NOT to use ollama
- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (janhq/jan) · observed Aug 16, 2026
- GitHub forks (janhq/jan) · observed Aug 16, 2026
- Last push (janhq/jan) · observed Aug 14, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ollama/ollama) · observed Aug 2, 2026
- GitHub forks (ollama/ollama) · observed Aug 2, 2026
- Last push (ollama/ollama) · observed Jul 31, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jan 44k · ollama 178k (synced Aug 16, 2026).
Common questions
- What is the difference between jan and ollama?
- jan: open source alternative to ChatGPT that runs offline locally. ollama: Get up and running with various large language models using Ollama.. 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; 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, llm; - If you require an offline-capable AI assistant for environments without internet access.
- 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; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; 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; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.
- When should I avoid jan?
- - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information.
- When should I avoid ollama?
- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
- Is jan or ollama more popular on GitHub?
- ollama has more GitHub stars (177,524 vs 44,020). 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.