Home/Compare/jan vs ollama

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

jan logo

jan

janhq/jan

44kpushed Aug 14, 2026
vs
ollama logo

ollama

ollama/ollama

178kpushed Jul 31, 2026

Trust & integrity

Signaljanollama
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

Typed relationship

jan alternative ollamaJan and ollama are both focused on providing easy-to-use open-source applications for various LLMs to run locally.

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 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.

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