Comparison
jan vs omlx
Verdict
Pick jan when jan is primarily TypeScript; omlx is Python; pick omlx when omlx is primarily Python; jan is TypeScript.
Markdown twin · jan alternatives · omlx alternatives
GraphCanon updated today
Trust & integrity
| Signal | jan | omlx |
|---|---|---|
| Maintenance | Very active (1d since push) As of 4d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- jan
- open source alternative to ChatGPT that runs offline locally
- omlx
- LLM inference server with continuous batching & SSD caching for Apple Silicon, managed from the macOS menu bar
Stars
- jan
- 43k
- omlx
- 18k
Forks
- jan
- 2.9k
- omlx
- 1.5k
Open issues
- jan
- 387
- omlx
- 714
Language
- jan
- TypeScript
- omlx
- Python
Adopt for
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
- omlx
- -
Persona
- jan
- -
- omlx
- -
Runtime
- jan
- -
- omlx
- -
License
- jan
- Other
- omlx
- Apache-2.0
Last pushed
- jan
- Jul 10, 2026
- omlx
- Jul 14, 2026
Categories
- jan
- Inference & Serving, LLM Frameworks
- omlx
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- jan
- 1d
- omlx
- 0d
Open issues (now)
- jan
- 387
- omlx
- 714
Owner type
- jan
- Organization
- omlx
- User
Full report
- jan
- Trust report
- omlx
- Trust report
Choose jan if…
- jan is primarily TypeScript; omlx is Python.
- License: jan is Other, omlx 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.
Choose omlx if…
- omlx is primarily Python; jan is TypeScript.
- License: omlx is Apache-2.0, jan is Other.
- Tags unique to omlx: apple-silicon, inference-server, macos, mlx.
When NOT to use omlx
- 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.
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 Jul 11, 2026
- GitHub forks (janhq/jan) · observed Jul 11, 2026
- Last push (janhq/jan) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jundot/omlx) · observed Jul 15, 2026
- GitHub forks (jundot/omlx) · observed Jul 15, 2026
- Last push (jundot/omlx) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: jan 43k · omlx 18k (synced Jul 11, 2026).
Common questions
- What is the difference between jan and omlx?
- jan: open source alternative to ChatGPT that runs offline locally. omlx: LLM inference server with continuous batching & SSD caching for Apple Silicon, managed from the macOS menu bar. See the comparison table for live GitHub stats and shared categories.
- When should I choose jan over omlx?
- Choose jan over omlx when jan is primarily TypeScript; omlx is Python; License: jan is Other, omlx 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 choose omlx over jan?
- Choose omlx over jan when omlx is primarily Python; jan is TypeScript; License: omlx is Apache-2.0, jan is Other; Tags unique to omlx: apple-silicon, inference-server, macos, mlx.
- 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 omlx?
- 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.
- Is jan or omlx more popular on GitHub?
- jan has more GitHub stars (43,499 vs 17,840). Stars measure visibility, not whether either tool fits your constraints.
- Are jan and omlx open source?
- Yes - both are open-source projects on GitHub (jan: Other, omlx: Apache-2.0).
- Where can I find alternatives to jan or omlx?
- GraphCanon lists graph-backed alternatives at jan alternatives and omlx alternatives (jan markdown twin, omlx 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 omlx?
- jan: Very active. omlx: 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 omlx?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; omlx trust report.