---
title: API Basics
descriptions: 
parent: Tutorials
nav_order: 1
---
# ONNX Runtime Inferencing: API Basics
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These tutorials demonstrate basic inferencing with ONNX Runtime with each language API. More examples can be found on [microsoft/onnxruntime-inference-examples](https://github.com/microsoft/onnxruntime-inference-examples).


## Contents
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## Python
* [Scikit-learn Logistic Regression](https://onnxruntime.ai/docs/api/python/tutorial.html)
* [Image recognition (Resnet50)](https://github.com/onnx/onnx-docker/blob/master/onnx-ecosystem/inference_demos/resnet50_modelzoo_onnxruntime_inference.ipynb)


## C++
* [C/C++ examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx)

## C#
* [Object detection (Faster RCNN)](../tutorials/csharp/fasterrcnn_csharp.html)
* [Image recognition (ResNet50 v2)](../tutorials/csharp/resnet50_csharp.html)

## Java
* [Number recognition (MNIST)](../tutorials/mnist_java.html)

## JavaScript
* [ONNX Runtime JavaScript examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/js)
