Jan vs
GPUStackJan vs GPUStack compared for 2026 — features, license, ease of use, performance and which one to choose. Open-source, offline ChatGPT-style desktop app vs Manage GPU clusters for running models.
Updated regularly · curated by OpenSourceAI.tech
| Spec | Jan | GPUStack |
|---|---|---|
| Category | Run LLMs locally | Run LLMs locally |
| Type | Desktop app (open source) | GPU cluster manager |
| License | AGPL-3.0 | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | TypeScript | Python |
| Ease of use | Beginner | Advanced |
| Best for | users who want an open-source LM Studio alternative | teams with several GPU machines to pool |
| GitHub stars | 43.6k | 5.3k |
| Criterion | Jan | GPUStack |
|---|---|---|
| Popularity | 4.0 | 2.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 5.0 | 2.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 3.5 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
Jan is a fully open-source desktop assistant that wraps local models in a clean ChatGPT-style UI, with a built-in model hub and an optional local API server.
GPUStackGPUStack pools heterogeneous GPUs across machines into one cluster and schedules model workloads across them, with a web UI and OpenAI-compatible endpoints.
Jan is desktop app (open source), while GPUStack is gPU cluster manager. Their licenses differ (AGPL-3.0 vs Apache-2.0), which matters if you ship a commercial product. Jan leans more beginner-friendly, whereas GPUStack is more suited to advanced users. In short, Jan fits users who want an open-source LM Studio alternative, and GPUStack fits teams with several GPU machines to pool.
Choose Jan for users who want an open-source LM Studio alternative. Choose GPUStack for teams with several GPU machines to pool.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Jan is generally the easier of the two to get started with, while GPUStack rewards more setup with more control.
Jan is free and open source (AGPL-3.0), and GPUStack is free and open source (Apache-2.0). Neither charges for the core software.
Jan: yes · GPUStack: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose Jan for users who want an open-source LM Studio alternative. Choose GPUStack for teams with several GPU machines to pool.
Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.
Explore the directory →