head to head · open source
ODS vs Dograh
ODS has 7,753 GitHub stars, 1,102 forks, 2,618 open issues and last shipped yesterday. Dograh has 6,024 stars, 1,541 forks, 77 open issues and last shipped 2 days ago. ODS leads on adoption by 29% (7,753 vs 6,024 stars). ODS is written in Python under Apache-2.0; Dograh is written in Python under BSD-2-Clause. ODS has attracted 14% as many forks as stars, Dograh 26%. ODS 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.
← all 20902 open source comparisons
Side by side
| ODS | Dograh | |
|---|---|---|
| GitHub stars | ★ 7.8K | ★ 6.0K |
| License | Apache-2.0 | BSD-2-Clause |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 1.1K | ⑂ 1.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ODS if
- You weight community size — 7.8K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Dograh if
- You want the Dograh feature set and don't need the biggest community
- You prefer the BSD-2-Clause license terms
- Your stack matches Python
- You evaluated both and Dograh fits your workflow better
About ODS
ODS Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone. ODS installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand: Local model inference — run open models on your own hardware ChatGPT style web UI — talk to your models from any browser Control dashboard — manage models, services, setup, GPU status, and extensions from one place Voice, agents, and workflows — build automations…
About Dograh
Dograh AI The open source, self hostable alternative to Vapi & Retell — build production voice agents with a visual workflow builder, test them in minutes, and let AI coding assistants help design and edit them through MCP. 📖 Docs · 📜 BSD 2 Clause · 🌐 中文 · 🌐 日本語 100% open source , self hostable — no vendor lock in, unlike Vapi or Retell Full control & transparency — every line of code is open, with flexible LLM / TTS / STT integration Maintained by YC alumni and exit founders , committed to keeping voice AI open 🎥 Featured Featured by Better Stack — a hands on look at Dograh 📺 Prefer a 2 minute product…
read the full Dograh overview →
More in Productivity & Utilities
Related comparisons
More Automation projects
Compare either of these against the rest of the Automation field.
Frequently asked questions
Is ODS or Dograh more popular?
ODS has 7,753 GitHub stars and Dograh has 6,024. ODS has the larger community by that measure.
Are ODS and Dograh free?
Both are open source. ODS is licensed under Apache-2.0 and Dograh under BSD-2-Clause. Neither carries a licence fee.
What is the difference between ODS and Dograh?
ODS is written in Python and Dograh 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, ODS or Dograh?
Choose ODS if you want the larger community (7,753 stars) or its Apache-2.0 licence terms. Choose Dograh if its feature set, stack or BSD-2-Clause licence fits better. Both are self-hostable.