head to head · open source
ODS vs trustgraph
ODS has 7,745 GitHub stars, 1,102 forks, 2,618 open issues and last shipped yesterday. trustgraph has 2,869 stars, 339 forks, 18 open issues and last shipped 6 days ago. ODS leads on adoption by 170% (7,745 vs 2,869 stars). ODS is written in Python under Apache-2.0; trustgraph is written in Python under Apache-2.0. ODS has attracted 14% as many forks as stars, trustgraph 12%. 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.
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Side by side
| ODS | trustgraph | |
|---|---|---|
| GitHub stars | ★ 7.7K | ★ 2.9K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-28 |
| Forks | ⑂ 1.1K | ⑂ 339 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ODS if
- You weight community size — 7.7K 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 trustgraph if
- You want the trustgraph 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 trustgraph 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 trustgraph
HyperGraph Playground Self Host TrustGraph Docs YouTube Discord Website The Context Orchestration Layer for Agentic AI Open Source · Open Standards · Total Transparency TrustGraph is an open source context orchestration layer designed to power the next generation of enterprise AI. AI applications fail without shared context. LLMs are powerful, but without a structured, unified context layer — one that bridges silos, captures complex relationships, and enforces governance — agents hallucinate, violate policies, and produce non deterministic outcomes. TrustGraph builds that layer. It uses hypergraphs to turn raw…
read the full trustgraph overview →
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Frequently asked questions
Is ODS or trustgraph more popular?
ODS has 7,745 GitHub stars and trustgraph has 2,869. ODS has the larger community by that measure.
Are ODS and trustgraph free?
Both are open source. ODS is licensed under Apache-2.0 and trustgraph under Apache-2.0. Neither carries a licence fee.
What is the difference between ODS and trustgraph?
ODS is written in Python and trustgraph 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 trustgraph?
Choose ODS if you want the larger community (7,745 stars) or its Apache-2.0 licence terms. Choose trustgraph if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.