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Comparison

jan vs vllm-mlx

Verdict

Pick jan when jan is primarily TypeScript; vllm-mlx is Python; pick vllm-mlx when vllm-mlx is primarily Python; jan is TypeScript.

Markdown twin · jan alternatives · vllm-mlx alternatives

GraphCanon updated today

jan logo

jan

janhq/jan

★ 43kpushed Jul 10, 2026
vs
vllm-mlx logo

vllm-mlx

waybarrios/vllm-mlx

★ 1.4kpushed Jun 28, 2026

Trust & integrity

Signaljanvllm-mlx
Maintenance
Very active (1d since push)
As of today · github_public_v1
Active (12d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
jan trust reportvllm-mlx trust reportTrust methodology

Tagline

jan
open source alternative to ChatGPT that runs offline locally
vllm-mlx
OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX bac

Stars

jan
43k
vllm-mlx
1.4k

Forks

jan
2.9k
vllm-mlx
195

Open issues

jan
387
vllm-mlx
59

Language

jan
TypeScript
vllm-mlx
Python

Adopt for

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

Persona

jan
-
vllm-mlx
-

Runtime

jan
-
vllm-mlx
-

License

jan
Other
vllm-mlx
Apache-2.0

Last pushed

jan
Jul 10, 2026
vllm-mlx
Jun 28, 2026

Categories

jan
LLM Frameworks, Inference & Serving
vllm-mlx
LLM Frameworks, Speech & Audio, Inference & Serving

Trust and health

Maintenance

jan
Very active (96%)
vllm-mlx
Active (82%)

Days since push

jan
1d
vllm-mlx
12d

Open issues (now)

jan
387
vllm-mlx
59

Owner type

jan
Organization
vllm-mlx
User

Full report

jan
Trust report
vllm-mlx
Trust report

Choose jan if…

  • jan is primarily TypeScript; vllm-mlx is Python.
  • License: jan is Other, vllm-mlx is Apache-2.0.
  • Tags unique to jan: tauri, self-hosted, llamacpp, chatgpt.
  • - 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

Choose vllm-mlx if…

  • vllm-mlx is primarily Python; jan is TypeScript.
  • License: vllm-mlx is Apache-2.0, jan is Other.
  • Tags unique to vllm-mlx: image-understanding, apple-silicon, claude-code, audio-processing.
  • Also covers Speech & Audio.

When NOT to use vllm-mlx

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Explore

jan trust report →vllm-mlx trust report →LLM Frameworks category →Inference & Serving category →Speech & Audio 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: jan 43k · vllm-mlx 1.4k (synced Jul 11, 2026).

Common questions

What is the difference between jan and vllm-mlx?
jan: open source alternative to ChatGPT that runs offline locally. vllm-mlx: OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX bac. See the comparison table for live GitHub stats and shared categories.
When should I choose jan over vllm-mlx?
Choose jan over vllm-mlx when jan is primarily TypeScript; vllm-mlx is Python; License: jan is Other, vllm-mlx is Apache-2.0; Tags unique to jan: tauri, self-hosted, llamacpp, chatgpt; - If you require an offline-capable AI assistant for environments without internet access.
When should I choose vllm-mlx over jan?
Choose vllm-mlx over jan when vllm-mlx is primarily Python; jan is TypeScript; License: vllm-mlx is Apache-2.0, jan is Other; Tags unique to vllm-mlx: image-understanding, apple-silicon, claude-code, audio-processing; Also covers Speech & Audio.
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 vllm-mlx?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is jan or vllm-mlx more popular on GitHub?
jan has more GitHub stars (43,499 vs 1,421). Stars measure visibility, not whether either tool fits your constraints.
Are jan and vllm-mlx open source?
Yes - both are open-source projects on GitHub (jan: Other, vllm-mlx: Apache-2.0).
Where can I find alternatives to jan or vllm-mlx?
GraphCanon lists graph-backed alternatives at jan alternatives and vllm-mlx alternatives (jan markdown twin, vllm-mlx 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 vllm-mlx?
jan: Very active. vllm-mlx: 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 vllm-mlx?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; vllm-mlx trust report.