Home/Compare/onnx-mlir vs ort

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 today

onnx-mlir logo

onnx-mlir

onnx/onnx-mlir

1.0kpushed Jul 31, 2026
vs
ort logo

ort

pykeio/ort

2.5kpushed Aug 23, 2026

Trust & integrity

Signalonnx-mlirort
Maintenance
Very active (3d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
1.0k
ort
2.5k

Forks

onnx-mlir
447
ort
263

Open issues

onnx-mlir
352
ort
2

Language

onnx-mlir
C++
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
Jul 31, 2026
ort
Aug 23, 2026

Categories

onnx-mlir
Inference & Serving, Model Training
ort
Inference & Serving, Model Training

Trust and health

Days since push

onnx-mlir
3d
ort
0d

Open issues (now)

onnx-mlir
352
ort
2

Stars delta

onnx-mlir
Unknown
ort
+56 (30d)

Open issues delta

onnx-mlir
Unknown
ort
+1 (30d)

OSV dependency advisories

onnx-mlir
Published findings
ort
No lockfile (source not queried)

Full report

onnx-mlir
Trust report

Choose onnx-mlir if…

  • onnx-mlir is primarily C++; 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 C++.
  • 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 on cards: onnx-mlir 1.0k · ort 2.5k (synced Aug 4, 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 C++; 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 C++; 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 (2,472 vs 1,039). 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.

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