Comparison
ormb vs onnx-mlir
Verdict
Pick ormb if oRMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management; pick onnx-mlir if oNNX-MLIR is optimised for compiling ONNX models to MLIR and LLVM bytecodes, offering cross-platform support and multiple runtime environments.
Markdown twin · ormb alternatives · onnx-mlir alternatives
GraphCanon updated Sep 30, 2026
15views this month
Trust & integrity
| Signal | ormb | onnx-mlir |
|---|---|---|
| Maintenance | Dormant (978d since push) As of Sep 30, 2026 · github_public_v1 | Very active (0d since push) As of Sep 30, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ormb
- Docker for ML/DL Models Based on OCI Artifacts
- onnx-mlir
- ONNX model compiler technology lowering ONNX graphs to MLIR and LLVM bytecodes
Stars
- ormb
- 474
- onnx-mlir
- 1.1k
Forks
- ormb
- 61
- onnx-mlir
- 451
Open issues
- ormb
- 32
- onnx-mlir
- 367
Language
- ormb
- Go
- onnx-mlir
- MLIR
Adopt for
- ormb
- ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management.
- onnx-mlir
- ONNX-MLIR is optimised for compiling ONNX models to MLIR and LLVM bytecodes, offering cross-platform support and multiple runtime environments.
Persona
- ormb
- -
- onnx-mlir
- -
Runtime
- ormb
- -
- onnx-mlir
- -
License
- ormb
- Apache-2.0
- onnx-mlir
- Available under the Apache License Version 2.0 (Apache-2.0). Permissions granted for reproduction, distribution, etc., as per license terms.
Last pushed
- ormb
- Jan 26, 2024
- onnx-mlir
- Sep 29, 2026
Categories
- ormb
- Inference & Serving, Model Training
- onnx-mlir
- Inference & Serving, Model Training
Trust and health
Maintenance
- ormb
- Dormant (18%)
- onnx-mlir
- Very active (96%)
Days since push
- ormb
- 978d
- onnx-mlir
- 0d
Open issues (now)
- ormb
- 32
- onnx-mlir
- 367
Stars delta
- ormb
- +1 (30d)
- onnx-mlir
- +19 (30d)
Open issues delta
- ormb
- 0 (30d)
- onnx-mlir
- +15 (30d)
Full report
- ormb
- Trust report
- onnx-mlir
- Trust report
Choose ormb if…
- ormb is primarily Go; onnx-mlir is MLIR.
- Tags unique to ormb: docker, machine-learning, model-management, model-versioning.
- If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality.
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.
Choose onnx-mlir if…
- onnx-mlir is primarily MLIR; ormb is Go.
- Tags unique to onnx-mlir: compiler, llvm, mlir, onnx.
- For users needing compile-time optimization of ONNX models to improve inference performance in a variety of language runtimes such as C++, Java, and Python
When NOT to use onnx-mlir
- When quick setup and environment management are desired without using prebuilt containers, as setting up prerequisites manually may be challenging
- For teams primarily focused on real-time inference serving with dedicated AI hardware that requires specialized frameworks not covered by ONNX-MLIR's support matrix
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kleveross/ormb) · observed Sep 30, 2026
- GitHub forks (kleveross/ormb) · observed Sep 30, 2026
- Last push (kleveross/ormb) · observed Jan 26, 2024
- License file (Apache-2.0) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (onnx/onnx-mlir) · observed Sep 30, 2026
- GitHub forks (onnx/onnx-mlir) · observed Sep 30, 2026
- Last push (onnx/onnx-mlir) · observed Sep 29, 2026
- License file (Apache-2.0) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ormb 474 · onnx-mlir 1.1k (synced Sep 30, 2026).
Common questions
- What is the difference between ormb and onnx-mlir?
- ormb: Docker for ML/DL Models Based on OCI Artifacts. onnx-mlir: ONNX model compiler technology lowering ONNX graphs to MLIR and LLVM bytecodes. See the comparison table for live GitHub stats and shared categories.
- When should I choose ormb over onnx-mlir?
- Choose ormb over onnx-mlir when ormb is primarily Go; onnx-mlir is MLIR; Tags unique to ormb: docker, machine-learning, model-management, model-versioning; If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality.
- When should I choose onnx-mlir over ormb?
- Choose onnx-mlir over ormb when onnx-mlir is primarily MLIR; ormb is Go; Tags unique to onnx-mlir: compiler, llvm, mlir, onnx; For users needing compile-time optimization of ONNX models to improve inference performance in a variety of language runtimes such as C++, Java, and Python.
- 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.
- When should I avoid onnx-mlir?
- When quick setup and environment management are desired without using prebuilt containers, as setting up prerequisites manually may be challenging For teams primarily focused on real-time inference serving with dedicated AI hardware that requires specialized frameworks not covered by ONNX-MLIR's support matrix
- Is ormb or onnx-mlir more popular on GitHub?
- onnx-mlir has more GitHub stars (1,058 vs 474). Stars measure visibility, not whether either tool fits your constraints.
- Are ormb and onnx-mlir open source?
- Yes - both are open-source projects on GitHub (ormb: Apache-2.0, onnx-mlir: Apache-2.0).
- Where can I find alternatives to ormb or onnx-mlir?
- GraphCanon lists graph-backed alternatives at ormb alternatives and onnx-mlir alternatives (ormb markdown twin, onnx-mlir markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ormb or onnx-mlir?
- ormb: Dormant. onnx-mlir: Very active. 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 ormb and onnx-mlir?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ormb trust report; onnx-mlir trust report.