head to head · open source
LocalAI vs dstack
LocalAI has 49,179 GitHub stars, 4,458 forks, 201 open issues and last shipped today. dstack has 2,253 stars, 263 forks, 68 open issues and last shipped 3 days ago. LocalAI leads on adoption by 2,083% (49,179 vs 2,253 stars). LocalAI is written in Go under MIT; dstack is written in Python under MPL-2.0. LocalAI has attracted 9% as many forks as stars, dstack 12%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LocalAI | dstack | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 2.3K |
| License | MIT | MPL-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-20 | 2026-09-17 |
| Forks | ⑂ 4.5K | ⑂ 263 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 49K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick dstack if
- You want the dstack feature set and don't need the biggest community
- You prefer the MPL-2.0 license terms
- Your stack matches Python
- You evaluated both and dstack fits your workflow better
About LocalAI
LocalAI is an open source AI runtime that enables running large language models (LLMs), vision, audio, image, and video models locally or on premises. It operates as a modular engine where each model type is backed by a dedicated, lightweight backend—such as llama.cpp, whisper.cpp, or stable diffusion—pulled only when needed. This composable architecture avoids bundling unnecessary dependencies, keeping the core minimal while supporting diverse modalities and hardware configurations.
read the full LocalAI overview →
About dstack
dstack is an open source Python project in the AI and machine learning infrastructure ecosystem. It is a unified control plane for GPU provisioning and orchestration that works with GPU clouds, Kubernetes, and on prem clusters. The project supports NVIDIA, AMD, Google TPU, and Tenstorrent accelerators, and it is compatible with open source tools and frameworks.
read the full dstack overview →
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Frequently asked questions
Is LocalAI or dstack more popular?
LocalAI has 49,179 GitHub stars and dstack has 2,253. LocalAI has the larger community by that measure.
Are LocalAI and dstack free?
Both are open source. LocalAI is licensed under MIT and dstack under MPL-2.0. Neither carries a licence fee.
What is the difference between LocalAI and dstack?
LocalAI is written in Go and dstack in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LocalAI or dstack?
Choose LocalAI if you want the larger community (49,179 stars) or its MIT licence terms. Choose dstack if its feature set, stack or MPL-2.0 licence fits better. Both are self-hostable.