head to head · open source
LobeChat vs h2o-llmstudio
LobeChat has 83,716 GitHub stars, 16,033 forks, 922 open issues and last shipped yesterday. h2o-llmstudio has 5,191 stars, 556 forks, 36 open issues and last shipped 7 days ago. LobeChat leads on adoption by 1,513% (83,716 vs 5,191 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.
← all 20902 open source comparisons
Side by side
| LobeChat | h2o-llmstudio | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 5.2K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-10-27 |
| Forks | ⑂ 16K | ⑂ 556 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 84K 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
[![][image banner]][vercel link] LobeHub LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online. English · 简体中文 · [Official Site][official site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github issues link] [![][github release shield]][github release link] [![][docker release shield]][docker release link] [![][vercel shield]][vercel link] [![][discord shield]][discord link] [![][codecov shield]][codecov link] [![][github action test shield]][github action test link] [![][github action…
read the full LobeChat overview →
About h2o-llmstudio
Welcome to H2O LLM Studio, a framework and no code GUI designed for fine tuning state of the art large language models (LLMs). Jump to With H2O LLM Studio, you can Quickstart What's New Setup Recommended Install Virtual Environments Run H2O LLM Studio GUI Run H2O LLM Studio GUI using Docker Run H2O LLM Studio with command line interface (CLI) Troubleshooting Data format and example data Training your model Example: Run on OASST data via CLI Model checkpoints Documentation Contributing License With H2O LLM Studio, you can easily and effectively fine tune LLMs without the need for any coding experience . use a…
read the full h2o-llmstudio overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is LobeChat or h2o-llmstudio more popular?
LobeChat has 83,716 GitHub stars and h2o-llmstudio has 5,191. 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 (83,716 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.