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Comparison

Medusa vs jan

Verdict

Pick Medusa when medusa is primarily Jupyter Notebook; jan is TypeScript; pick jan when jan is primarily TypeScript; Medusa is Jupyter Notebook.

Markdown twin · Medusa alternatives · jan alternatives

GraphCanon updated today

Medusa logo

Medusa

FasterDecoding/Medusa

★ 2.8kpushed Jun 25, 2024
vs
jan logo

jan

janhq/jan

★ 43kpushed Jul 10, 2026

Trust & integrity

SignalMedusajan
Maintenance
Dormant (745d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
Medusa trust reportjan trust reportTrust methodology

Tagline

Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
jan
open source alternative to ChatGPT that runs offline locally

Stars

Medusa
2.8k
jan
43k

Forks

Medusa
204
jan
2.9k

Open issues

Medusa
57
jan
387

Language

Medusa
Jupyter Notebook
jan
TypeScript

Adopt for

Medusa
-
jan
Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.

Persona

Medusa
-
jan
-

Runtime

Medusa
-
jan
-

License

Medusa
Apache-2.0
jan
Other

Last pushed

Medusa
Jun 25, 2024
jan
Jul 10, 2026

Categories

Medusa
Inference & Serving, LLM Frameworks
jan
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

Medusa
Dormant (18%)
jan
Very active (96%)

Days since push

Medusa
745d
jan
1d

Open issues (now)

Medusa
57
jan
387

Full report

Medusa
Trust report
jan
Trust report

Choose Medusa if…

  • Medusa is primarily Jupyter Notebook; jan is TypeScript.
  • License: Medusa is Apache-2.0, jan is Other.
  • Tags unique to Medusa: jupyter notebook, llm-inference.

When NOT to use Medusa

  • Last GitHub push was 746 days ago (dormant maintenance, Jun 25, 2024). Validate activity before betting a new project on Medusa.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose jan if…

  • jan is primarily TypeScript; Medusa is Jupyter Notebook.
  • License: jan is Other, Medusa is Apache-2.0.
  • Tags unique to jan: chatgpt, gpt, llamacpp, localai.
  • - 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.
GitHubDetails

Explore

Medusa trust report →jan trust report →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Medusa 2.8k · jan 43k (synced Jul 11, 2026).

Common questions

What is the difference between Medusa and jan?
Medusa: Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads. jan: open source alternative to ChatGPT that runs offline locally. See the comparison table for live GitHub stats and shared categories.
When should I choose Medusa over jan?
Choose Medusa over jan when Medusa is primarily Jupyter Notebook; jan is TypeScript; License: Medusa is Apache-2.0, jan is Other; Tags unique to Medusa: jupyter notebook, llm-inference.
When should I choose jan over Medusa?
Choose jan over Medusa when jan is primarily TypeScript; Medusa is Jupyter Notebook; License: jan is Other, Medusa is Apache-2.0; Tags unique to jan: chatgpt, gpt, llamacpp, localai; - If you require an offline-capable AI assistant for environments without internet access.
When should I avoid Medusa?
Last GitHub push was 746 days ago (dormant maintenance, Jun 25, 2024). Validate activity before betting a new project on Medusa. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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.
Is Medusa or jan more popular on GitHub?
jan has more GitHub stars (43,499 vs 2,755). Stars measure visibility, not whether either tool fits your constraints.
Are Medusa and jan open source?
Yes - both are open-source projects on GitHub (Medusa: Apache-2.0, jan: Other).
Where can I find alternatives to Medusa or jan?
GraphCanon lists graph-backed alternatives at Medusa alternatives and jan alternatives (Medusa markdown twin, jan 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, Medusa or jan?
Medusa: Dormant. jan: 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 Medusa and jan?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Medusa trust report; jan trust report.