head to head · open source
LocalAI vs chitu
LocalAI has 50,187 GitHub stars, 4,574 forks, 201 open issues and last shipped yesterday. chitu has 2,998 stars, 250 forks, 57 open issues and last shipped 2 days ago. LocalAI leads on adoption by 1,574% (50,187 vs 2,998 stars). LocalAI is written in Go under MIT; chitu is written in Python under Apache-2.0. LocalAI has attracted 9% as many forks as stars, chitu 8%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.
← all 20902 open source comparisons
Side by side
| LocalAI | chitu | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 3.0K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 4.6K | ⑂ 250 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick chitu if
- You want the chitu 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 chitu fits your workflow better
About LocalAI
Deutsch Español français 日本語 한국어 Português Русский 中文 LocalAI is the open source AI engine. Run any model LLMs, vision, voice, image, video on any hardware. No GPU required. A small core, not a bundle. Each backend wraps a best in class engine (llama.cpp, vLLM, whisper.cpp, stable diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use. Composable by design : backends are separate and pulled on demand, so you install only what your model needs Open and extensible : load any model, or build your own backend in any language against an open interface Drop in API…
read the full LocalAI overview →
About chitu
Chitu「赤兔」 中文 English Chitu「赤兔」是一个专注于效率、灵活性和可用性的高性能大模型推理框架。 里程碑 [2026/07/02] 发布 v0.6.0，新增 chitu.run 可执行文件：单文件即可启动多结点、多实例、PD 分离等复杂任务。 [2026/02/06] 发布 v0.5.1，适配摩尔线程 GPU。 [2025/12/12] 发布 v0.5.0，重点提升集群部署场景的性能。 [2025/08/01] 发布 v0.4.0，大幅提升了一体机推理部署场景的性能和稳定性，适配昇腾、英伟达、沐曦、海光，支持 DeepSeek、Qwen、GLM、Kimi 等模型。 [2025/07/28] 发布 v0.3.9，首发支持华为昇腾 910B 推理部署智谱 GLM 4.5 MoE 模型。 [2025/06/12] 发布 v0.3.5，提供昇腾 910B 完整原生支持，提供 Qwen3 系列模型高性能推理方案。 [2025/04/29] 发布 v0.3.0，新增 FP4 在线转 FP8、BF16 的高效算子实现，支持 DeepSeek R1 671B 的 FP4 量化版。 [2025/04/18] 发布 v0.2.2，新增 CPU+GPU 异构混合推理支持，实现单卡推理 DeepSeek R1 671B。 [2025/03/14] 发布 v0.1.0，支持 DeepSeek R1 671B，提供 FP8…
read the full chitu overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is LocalAI or chitu more popular?
LocalAI has 50,187 GitHub stars and chitu has 2,998. LocalAI has the larger community by that measure.
Are LocalAI and chitu free?
Both are open source. LocalAI is licensed under MIT and chitu under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and chitu?
LocalAI is written in Go and chitu 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 chitu?
Choose LocalAI if you want the larger community (50,187 stars) or its MIT licence terms. Choose chitu if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.