This is project is in a very early stage and we are looking for contributors.


A onnx runtime written in pure C99 with zero dependencies focused on embedded devices. Run inference on your machine learning models no matter which framework you train it with and no matter the device that you use. This is the perfect way to go in old hardware that doesn’t support fancy modern C or C++.

Out of the box example

Estimate the number written in an image using the MNIST model. The input image is stored in input_0.pb and the MNIST model is stored in onnx format in model.onnx.

First compile the project.

make all

And run inference on the input using the model.

build/connxr test/mnist/model.onnx test/mnist/test_data_set_0/input_0.pb