--- title: "dstack vs ormb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dstackai-dstack-vs-kleveross-ormb" tools: ["dstackai-dstack", "kleveross-ormb"] --- # dstack vs ormb *GraphCanon updated Aug 24, 2026* ## Verdict Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick ormb if oRMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management. [dstack](https://dstack.ai/docs) reports 2.2k GitHub stars, 250 forks, and 66 open issues, last pushed Aug 23, 2026. [ormb](https://github.com/kleveross/ormb) has 473 stars, 61 forks, and 32 open issues, last pushed Jan 26, 2024. Figures are from public GitHub metadata via [dstack's repository](https://github.com/dstackai/dstack) and [ormb's repository](https://github.com/kleveross/ormb). | | [dstack](/tools/dstackai-dstack.md) | [ormb](/tools/kleveross-ormb.md) | | --- | --- | --- | | Tagline | Vendor-agnostic orchestration for AI workloads | Docker for ML/DL Models Based on OCI Artifacts | | Stars | 2,219 | 473 | | Forks | 250 | 61 | | Open issues | 66 | 32 | | Language | Python | Go | | Adopt for | Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. | ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | AI Agents, Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dstack](/tools/dstackai-dstack.md) | [ormb](/tools/kleveross-ormb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 920d | | Open issues (now) | 66 | 32 | | Stars delta | +27 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Full report | [trust report](/tools/dstackai-dstack/trust.md) | [trust report](/tools/kleveross-ormb/trust.md) | ## Decision facts: dstack - **Adopt for:** Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. ## Decision facts: ormb - **Adopt for:** ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management. ## Choose when ### Choose dstack if… - dstack is primarily Python; ormb is Go. - License: dstack is MPL-2.0, ormb is Apache-2.0. - Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud. - Also covers AI Agents. - If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent ### Choose ormb if… - ormb is primarily Go; dstack is Python. - License: ormb is Apache-2.0, dstack is MPL-2.0. - Tags unique to ormb: machine-learning, model-management, model-versioning, oci-artifacts. - If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality. ## When NOT to use dstack - When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred - If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0) ## When NOT to use ormb - Should you seek simple models deployment without extensive version management features, ORMB may introduce unnecessary complexity. - If your project strictly avoids using Docker and OCI artifacts for model handling, then this tool would not be suitable. ## Common questions ### What is the difference between dstack and ormb? dstack: Vendor-agnostic orchestration for AI workloads. ormb: Docker for ML/DL Models Based on OCI Artifacts. See the comparison table for live GitHub stats and shared categories. ### When should I choose dstack over ormb? Choose dstack over ormb when dstack is primarily Python; ormb is Go; License: dstack is MPL-2.0, ormb is Apache-2.0; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent. ### When should I choose ormb over dstack? Choose ormb over dstack when ormb is primarily Go; dstack is Python; License: ormb is Apache-2.0, dstack is MPL-2.0; Tags unique to ormb: machine-learning, model-management, model-versioning, oci-artifacts; If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality. ### When should I avoid dstack? When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0) ### When should I avoid ormb? Should you seek simple models deployment without extensive version management features, ORMB may introduce unnecessary complexity. If your project strictly avoids using Docker and OCI artifacts for model handling, then this tool would not be suitable. ### Is dstack or ormb more popular on GitHub? dstack has more GitHub stars (2,219 vs 473). Stars measure visibility, not whether either tool fits your constraints. ### Are dstack and ormb open source? Yes - both are open-source projects on GitHub (dstack: MPL-2.0, ormb: Apache-2.0). ### Where can I find alternatives to dstack or ormb? GraphCanon lists graph-backed alternatives at [dstack alternatives](/tools/dstackai-dstack/alternatives) and [ormb alternatives](/tools/kleveross-ormb/alternatives) ([dstack markdown twin](/tools/dstackai-dstack/alternatives.md), [ormb markdown twin](/tools/kleveross-ormb/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dstackai-dstack-vs-kleveross-ormb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dstack or ormb? dstack: Very active. ormb: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for dstack and ormb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dstack trust report](/tools/dstackai-dstack/trust); [ormb trust report](/tools/kleveross-ormb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dstackai-dstack`](/api/graphcanon/graph?tool=dstackai-dstack) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_