head to head · open source
LocalAI vs examples
LocalAI has 49,179 GitHub stars, 4,458 forks, 201 open issues and last shipped today. examples has 3,043 stars, 1,073 forks, 64 open issues and last shipped yesterday. LocalAI leads on adoption by 1,516% (49,179 vs 3,043 stars). LocalAI is written in Go under MIT; examples is written in Jupyter Notebook under MIT. LocalAI has attracted 9% as many forks as stars, examples 35%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, llm), so they are genuine substitutes rather than adjacent tools.
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 | examples | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 3.0K |
| License | MIT | MIT |
| Written in | Go | Jupyter Notebook |
| Last push | 2026-09-20 | 2026-09-19 |
| Forks | ⑂ 4.5K | ⑂ 1.1K |
| 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 examples if
- You want the examples feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and examples 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 examples
Pinecone Examples is an MIT licensed collection of Jupyter Notebooks and sample applications that lets developers get hands on with Pinecone vector databases and common AI patterns, tools, and algorithms.
read the full examples overview →
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Frequently asked questions
Is LocalAI or examples more popular?
LocalAI has 49,179 GitHub stars and examples has 3,043. LocalAI has the larger community by that measure.
Are LocalAI and examples free?
Both are open source. LocalAI is licensed under MIT and examples under MIT. Neither carries a licence fee.
What is the difference between LocalAI and examples?
LocalAI is written in Go and examples in Jupyter Notebook. 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 examples?
Choose LocalAI if you want the larger community (49,179 stars) or its MIT licence terms. Choose examples if its feature set, stack or MIT licence fits better. Both are self-hostable.