Comparison
onnx-mlir vs ort
Verdict
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; pick ort if ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations.
Markdown twin · onnx-mlir alternatives · ort alternatives
GraphCanon updated Sep 30, 2026
12views this month
Trust & integrity
| Signal | onnx-mlir | ort |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 30, 2026 · github_public_v1 | Very active (3d since push) As of Sep 19, 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 19, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- onnx-mlir
- ONNX model compiler technology lowering ONNX graphs to MLIR and LLVM bytecodes
- ort
- Fast ML inference and training for ONNX models in Rust
Stars
- onnx-mlir
- 1.1k
- ort
- 2.5k
Forks
- onnx-mlir
- 451
- ort
- 271
Open issues
- onnx-mlir
- 367
- ort
- 2
Language
- onnx-mlir
- MLIR
- ort
- Rust
Adopt for
- onnx-mlir
- ONNX-MLIR is optimised for compiling ONNX models to MLIR and LLVM bytecodes, offering cross-platform support and multiple runtime environments.
- ort
- ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations
Persona
- onnx-mlir
- -
- ort
- -
Runtime
- onnx-mlir
- -
- ort
- -
License
- onnx-mlir
- Available under the Apache License Version 2.0 (Apache-2.0). Permissions granted for reproduction, distribution, etc., as per license terms.
- ort
- Apache-2.0
Last pushed
- onnx-mlir
- Sep 29, 2026
- ort
- Sep 16, 2026
Categories
- onnx-mlir
- Inference & Serving, Model Training
- ort
- Inference & Serving, Model Training
Trust and health
Days since push
- onnx-mlir
- 0d
- ort
- 3d
Open issues (now)
- onnx-mlir
- 367
- ort
- 2
Stars delta
- onnx-mlir
- +19 (30d)
- ort
- +99 (30d)
Open issues delta
- onnx-mlir
- +15 (30d)
- ort
- +1 (30d)
OSV dependency advisories
- onnx-mlir
- Published findings
- ort
- No lockfile (source not queried)
Full report
- onnx-mlir
- Trust report
- ort
- Trust report
Choose onnx-mlir if…
- onnx-mlir is primarily MLIR; ort is Rust.
- Tags unique to onnx-mlir: compiler, llvm, mlir, runtime environments.
- 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
Choose ort if…
- ort is primarily Rust; onnx-mlir is MLIR.
- Tags unique to ort: ai, fine-tuning, inference, machine-learning.
- When your project involves ONNX models that require fast inference times or efficient fine-tuning
When NOT to use ort
- When the primary development language is not compatible with Rust bindings
- For projects requiring broad model support beyond ONNX, as ort specializes only in ONNX models and does not cover a wide array of formats like some competitors might
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (pykeio/ort) · observed Sep 20, 2026
- GitHub forks (pykeio/ort) · observed Sep 20, 2026
- Last push (pykeio/ort) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: onnx-mlir 1.1k · ort 2.5k (synced Sep 30, 2026).
Common questions
- What is the difference between onnx-mlir and ort?
- onnx-mlir: ONNX model compiler technology lowering ONNX graphs to MLIR and LLVM bytecodes. ort: Fast ML inference and training for ONNX models in Rust. See the comparison table for live GitHub stats and shared categories.
- When should I choose onnx-mlir over ort?
- Choose onnx-mlir over ort when onnx-mlir is primarily MLIR; ort is Rust; Tags unique to onnx-mlir: compiler, llvm, mlir, runtime environments; 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 choose ort over onnx-mlir?
- Choose ort over onnx-mlir when ort is primarily Rust; onnx-mlir is MLIR; Tags unique to ort: ai, fine-tuning, inference, machine-learning; When your project involves ONNX models that require fast inference times or efficient fine-tuning.
- 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
- When should I avoid ort?
- When the primary development language is not compatible with Rust bindings For projects requiring broad model support beyond ONNX, as ort specializes only in ONNX models and does not cover a wide array of formats like some competitors might
- Is onnx-mlir or ort more popular on GitHub?
- ort has more GitHub stars (2,515 vs 1,058). Stars measure visibility, not whether either tool fits your constraints.
- Are onnx-mlir and ort open source?
- Yes - both are open-source projects on GitHub (onnx-mlir: Apache-2.0, ort: Apache-2.0).
- Where can I find alternatives to onnx-mlir or ort?
- GraphCanon lists graph-backed alternatives at onnx-mlir alternatives and ort alternatives (onnx-mlir markdown twin, ort 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, onnx-mlir or ort?
- onnx-mlir: Very active. ort: 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 onnx-mlir and ort?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: onnx-mlir trust report; ort trust report.