--- title: "jax vs onnx-mlir" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-jax-vs-onnx-onnx-mlir" tools: ["jax-ml-jax", "onnx-onnx-mlir"] --- # jax vs onnx-mlir *GraphCanon updated Jul 11, 2026* ## Verdict Pick jax when jax is primarily Python; onnx-mlir is C++; pick onnx-mlir when onnx-mlir is primarily C++; jax is Python. [jax](https://docs.jax.dev) reports 36k GitHub stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. [onnx-mlir](https://github.com/onnx/onnx-mlir) has 1.0k stars, 443 forks, and 352 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [jax's repository](https://github.com/jax-ml/jax) and [onnx-mlir's repository](https://github.com/onnx/onnx-mlir). | | [jax](/tools/jax-ml-jax.md) | [onnx-mlir](/tools/onnx-onnx-mlir.md) | | --- | --- | --- | | Tagline | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure | | Stars | 35,999 | 1,036 | | Forks | 3,676 | 443 | | Open issues | 2,495 | 352 | | Language | Python | C++ | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Vector Databases, Evaluation & Observability, Computer Vision | Vector Databases, Inference & Serving, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jax](/tools/jax-ml-jax.md) | [onnx-mlir](/tools/onnx-onnx-mlir.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 2.5k | 352 | | Security scan | No lockfile | 3 low (3 low) | | Full report | [trust report](/tools/jax-ml-jax/trust.md) | [trust report](/tools/onnx-onnx-mlir/trust.md) | ## Shared compatibility - **Python**: [jax](/tools/jax-ml-jax.md) - Python runtime; [onnx-mlir](/tools/onnx-onnx-mlir.md) - Python runtime ## Choose when ### Choose jax if… - jax is primarily Python; onnx-mlir is C++. - Tags unique to jax: python, jax. - Also covers Evaluation & Observability. ### Choose onnx-mlir if… - onnx-mlir is primarily C++; jax is Python. - Tags unique to onnx-mlir: c++. - Also covers Inference & Serving. ## When NOT to use jax - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use onnx-mlir - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between jax and onnx-mlir? jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. onnx-mlir: Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure. See the comparison table for live GitHub stats and shared categories. ### When should I choose jax over onnx-mlir? Choose jax over onnx-mlir when jax is primarily Python; onnx-mlir is C++; Tags unique to jax: python, jax; Also covers Evaluation & Observability. ### When should I choose onnx-mlir over jax? Choose onnx-mlir over jax when onnx-mlir is primarily C++; jax is Python; Tags unique to onnx-mlir: c++; Also covers Inference & Serving. ### When should I avoid jax? Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid onnx-mlir? Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is jax or onnx-mlir more popular on GitHub? jax has more GitHub stars (35,999 vs 1,036). Stars measure visibility, not whether either tool fits your constraints. ### Are jax and onnx-mlir open source? Yes - both are open-source projects on GitHub (jax: Apache-2.0, onnx-mlir: Apache-2.0). ### Where can I find alternatives to jax or onnx-mlir? GraphCanon lists graph-backed alternatives at [jax alternatives](/tools/jax-ml-jax/alternatives) and [onnx-mlir alternatives](/tools/onnx-onnx-mlir/alternatives) ([jax markdown twin](/tools/jax-ml-jax/alternatives.md), [onnx-mlir markdown twin](/tools/onnx-onnx-mlir/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/jax-ml-jax-vs-onnx-onnx-mlir.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jax or onnx-mlir? jax: Very active. 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 jax and onnx-mlir? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jax trust report](/tools/jax-ml-jax/trust); [onnx-mlir trust report](/tools/onnx-onnx-mlir/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jax-ml-jax`](/api/graphcanon/graph?tool=jax-ml-jax) - 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/_