head to head · open source
LobeChat vs h2o-llmstudio
LobeChat has 82,576 GitHub stars, 15,895 forks, 922 open issues and last shipped today. h2o-llmstudio has 5,182 stars, 557 forks, 36 open issues and last shipped yesterday. LobeChat leads on adoption by 1,494% (82,576 vs 5,182 stars). LobeChat is written in TypeScript under a custom or non-standard licence; h2o-llmstudio is written in Python under Apache-2.0. LobeChat has attracted 19% as many forks as stars, h2o-llmstudio 11%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, chatgpt), 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
| LobeChat | h2o-llmstudio | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 5.2K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 16K | ⑂ 557 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 83K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick h2o-llmstudio if
- You want the h2o-llmstudio 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 h2o-llmstudio fits your workflow better
About LobeChat
LobeHub is an open source platform for managing, building, and operating AI agent teams. It functions as a Chief Agent Operator (CAO), enabling users to organize, schedule, and monitor autonomous AI agents around the clock. The project lives in the AI interaction and interfaces ecosystem, integrating with major LLM providers like OpenAI, Anthropic, DeepSeek, and Alibaba’s GLM series.
read the full LobeChat overview →
About h2o-llmstudio
H2O LLM Studio is an Apache 2.0 Python framework with a no code graphical interface for fine tuning large language models, built for teams and individuals who want a custom LLM without writing training code yourself.
read the full h2o-llmstudio overview →
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Frequently asked questions
Is LobeChat or h2o-llmstudio more popular?
LobeChat has 82,576 GitHub stars and h2o-llmstudio has 5,182. LobeChat has the larger community by that measure.
Are LobeChat and h2o-llmstudio free?
Both are open source. LobeChat has no licence declared in this registry, and h2o-llmstudio is licensed under Apache-2.0. Both are free to self-host.
What is the difference between LobeChat and h2o-llmstudio?
LobeChat is written in TypeScript and h2o-llmstudio 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, LobeChat or h2o-llmstudio?
Choose LobeChat if you want the larger community (82,576 stars) or its Custom / other licence terms. Choose h2o-llmstudio if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.