head to head · open source

odysseus vs h2o-llmstudio

odysseus has 94,935 GitHub stars, 1,862 forks, 1,233 open issues and last shipped yesterday. h2o-llmstudio has 5,191 stars, 556 forks, 36 open issues and last shipped 7 days ago. odysseus leads on adoption by 1,729% (94,935 vs 5,191 stars). odysseus is written in Python under AGPL-3.0; h2o-llmstudio is written in Python under Apache-2.0. odysseus has attracted 2% as many forks as stars, h2o-llmstudio 11%. odysseus 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.

odysseus ★ 95K h2o-llmstudio ★ 5.2K category AI & Machine Learning

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Side by side

odysseus h2o-llmstudio
GitHub stars ★ 95K ★ 5.2K
License AGPL-3.0 Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-10-27
Forks ⑂ 1.9K ⑂ 556
Self-hosting Yes Yes
Data ownership Your server Your server

pick odysseus if

  • You weight community size — 95K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full odysseus profile →

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

full h2o-llmstudio profile →

About odysseus

A self hosted AI workspace for chat, agents, research, documents, email, notes, calendar, and local model workflows. Quick Start · Setup Guide · Contributing · Roadmap Quick Start dev is the default branch and gets the newest changes first. Use main if you want the more curated branch. Open when the containers are healthy. The first admin password is printed in docker compose logs odysseus . Native installs, GPU notes, Windows/macOS instructions, HTTPS, and configuration live in the setup guide. Features Chat + Agents — local/API models, tools, MCP, files, shell, skills, and memory. Cookbook — hardware aware…

read the full odysseus 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 →

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Frequently asked questions

Is odysseus or h2o-llmstudio more popular?

odysseus has 94,935 GitHub stars and h2o-llmstudio has 5,191. odysseus has the larger community by that measure.

Are odysseus and h2o-llmstudio free?

Both are open source. odysseus is licensed under AGPL-3.0 and h2o-llmstudio under Apache-2.0. Neither carries a licence fee.

What is the difference between odysseus and h2o-llmstudio?

odysseus is written in Python 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, odysseus or h2o-llmstudio?

Choose odysseus if you want the larger community (94,935 stars) or its AGPL-3.0 licence terms. Choose h2o-llmstudio if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.