head to head · open source
LocalAI vs InferenceX
LocalAI has 49,179 GitHub stars, 4,458 forks, 201 open issues and last shipped today. InferenceX has 1,736 stars, 303 forks, 254 open issues and last shipped today. LocalAI leads on adoption by 2,733% (49,179 vs 1,736 stars). LocalAI is written in Go under MIT; InferenceX is written in Python under Apache-2.0. LocalAI has attracted 9% as many forks as stars, InferenceX 17%. InferenceX 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 | InferenceX | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-20 | 2026-09-20 |
| Forks | ⑂ 4.5K | ⑂ 303 |
| 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 InferenceX if
- You want the InferenceX feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and InferenceX 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 InferenceX
InferenceX is an open source continuous inference benchmark research platform written in Python under the Apache 2.0 license. It lives in the machine learning infrastructure ecosystem, where teams evaluate large language model serving frameworks and accelerator systems. Formerly named InferenceMAX, the project maintains a public dashboard and a benchmark repository that track performance as inference software and hardware change.
read the full InferenceX overview →
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Frequently asked questions
Is LocalAI or InferenceX more popular?
LocalAI has 49,179 GitHub stars and InferenceX has 1,736. LocalAI has the larger community by that measure.
Are LocalAI and InferenceX free?
Both are open source. LocalAI is licensed under MIT and InferenceX under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and InferenceX?
LocalAI is written in Go and InferenceX 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 InferenceX?
Choose LocalAI if you want the larger community (49,179 stars) or its MIT licence terms. Choose InferenceX if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.