head to head · open source
LocalAI vs lancedb
LocalAI has 49,179 GitHub stars, 4,458 forks, 201 open issues and last shipped today. lancedb has 11,473 stars, 1,060 forks, 627 open issues and last shipped yesterday. LocalAI leads on adoption by 329% (49,179 vs 11,473 stars). LocalAI is written in Go under MIT; lancedb is written in Rust under Apache-2.0. LocalAI has attracted 9% as many forks as stars, lancedb 9%. 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 | lancedb | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 11K |
| License | MIT | Apache-2.0 |
| Written in | Go | Rust |
| 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 lancedb if
- You want the lancedb feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and lancedb 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 lancedb
LanceDB is an open source, developer friendly embedded retrieval library for multimodal AI, maintained in Rust and released under the Apache 2.0 license. It describes itself as a multimodal AI lakehouse: a single place where developers can build, train and analyze AI workloads over vectors, metadata and multimodal data such as text, images, videos and point clouds. It is built on top of the Lance columnar format, which provides the storage layer for efficient storage and analytics.
read the full lancedb overview →
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Frequently asked questions
Is LocalAI or lancedb more popular?
LocalAI has 49,179 GitHub stars and lancedb has 11,473. LocalAI has the larger community by that measure.
Are LocalAI and lancedb free?
Both are open source. LocalAI is licensed under MIT and lancedb under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and lancedb?
LocalAI is written in Go and lancedb in Rust. 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 lancedb?
Choose LocalAI if you want the larger community (49,179 stars) or its MIT licence terms. Choose lancedb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.