head to head · open source
Jan vs h2o-llmstudio
Jan has 45,409 GitHub stars, 3,145 forks, 521 open issues and last shipped yesterday. h2o-llmstudio has 5,193 stars, 556 forks, 36 open issues and last shipped 2 days ago. Jan leads on adoption by 774% (45,409 vs 5,193 stars). Jan is written in Rust under a custom or non-standard licence; h2o-llmstudio is written in Python under Apache-2.0. Jan has attracted 7% as many forks as stars, h2o-llmstudio 11%. Jan was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (chatgpt, gpt, 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
| Jan | h2o-llmstudio | |
|---|---|---|
| GitHub stars | ★ 45K | ★ 5.2K |
| License | Custom / other | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 3.1K | ⑂ 556 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Jan if
- You weight community size — 45K stars and counting
- You want the Custom / other license terms
- Your stack matches Rust
- 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 Jan
Jan Open source ChatGPT replacement English · 中文 · 日本語 Getting Started Community Changelog Bug reports Jan is bringing the best of open source AI in an easy to use product. Download and run LLMs with full control and privacy . Installation The easiest way to get started is by downloading one of the following versions for your respective operating system: Platform Download Windows jan.exe macOS jan.dmg Linux (deb) jan.deb Linux (AppImage) jan.AppImage Linux (Arm64) How to Download from jan.ai or GitHub Releases. Features Local AI Models : Download and run LLMs (Llama, Gemma, Qwen, GPT oss etc.) from HuggingFace…
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 →
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Frequently asked questions
Is Jan or h2o-llmstudio more popular?
Jan has 45,409 GitHub stars and h2o-llmstudio has 5,193. Jan has the larger community by that measure.
Are Jan and h2o-llmstudio free?
Both are open source. Jan 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 Jan and h2o-llmstudio?
Jan is written in Rust 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, Jan or h2o-llmstudio?
Choose Jan if you want the larger community (45,409 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.