cONNXr
A pure C99 ONNX runtime with zero dependencies, designed for embedded devices and old hardware.
What is cONNXr?
cONNXr is a pure C99 runtime for executing ONNX models, enabling machine learning inference on embedded devices and old hardware. It solves the problem of deploying trained models to environments that lack support for modern C++ or hardware accelerators, providing a lightweight, dependency-free solution.
Embedded systems engineers and developers working with resource-constrained devices, bare-metal hardware, or legacy systems that require machine learning inference capabilities.
Developers choose cONNXr for its extreme portability and zero-dependency design, allowing inference on hardware where other runtimes are too heavy or incompatible, while remaining framework-agnostic via the ONNX standard.
Overview
Pure C ONNX runtime with zero dependancies for embedded devices
Use Cases
Best For
- Running ML inference on microcontrollers and embedded devices
- Deploying models to legacy hardware with limited C/C++ support
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