Open Source
ONNX-MLIR
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
Our verdict
We have not reviewed ONNX-MLIR yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About ONNX-MLIR
ONNX-MLIR provides a representation and reference lowering of ONNX models within the MLIR compiler infrastructure. It enables compilation and optimization of ONNX models using MLIR's multi-level intermediate representation. The project is community-driven and open-source.
Best for
Developers who need to compile ONNX models for custom hardware or optimize inference using MLIR
Use cases
- Compiling ONNX models to efficient code for various hardware targets
- Optimizing machine learning model inference through MLIR transformation passes
- Integrating ONNX model execution into custom compiler pipelines
Notes
1,024 stars on GitHub. Last updated 2026-05-30. Licensed Apache-2.0.
Pros
- Leverages MLIR's modular design for flexible and advanced optimizations
- Supports multiple backend targets including CPU and accelerators
- Open-source project with an active community and ongoing development
Cons
- Still experimental and may not cover all ONNX operators
- Requires familiarity with MLIR infrastructure to use effectively
- Performance and stability can vary across different hardware backends
Key facts
What we have checked
- Latest prerelease version
- 0.5.1.1 (released 27 Aug 2026)
- GitHub stars
- 1,057
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How ONNX-MLIR is growing
1,024 to 1,057
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.5.1.1
Released 0.5.0.3
Released 0.5.0.2
Released v.0.5.1.0
Released 0.5.0.1
Released 0.5.0.0
Released 0.4.3.0
Released 0.4.2.0
Released 0.4.1.2
Released 0.4.1.1
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