Tools & Libraries

Updated Mar 2, 2026

A curated collection of tools, frameworks, and libraries for Edge AI development.

Frameworks & Runtimes

TensorFlow Lite

Google’s lightweight solution for mobile and embedded ML deployment.

  • Use case: Mobile apps, microcontrollers, IoT devices
  • Platforms: Android, iOS, Linux, microcontrollers
  • Website: tensorflow.org/lite

ONNX Runtime

Microsoft’s cross-platform inference engine with broad hardware support.

  • Use case: Cross-platform deployment, hardware acceleration
  • Platforms: Windows, Linux, macOS, Android, iOS
  • Website: onnxruntime.ai

PyTorch Mobile

Meta’s solution for deploying PyTorch models on mobile devices.

  • Use case: Mobile apps with PyTorch workflows
  • Platforms: Android, iOS
  • Website: pytorch.org/mobile

Development Platforms

Edge Impulse

End-to-end platform for building, deploying, and managing edge ML.

  • Use case: Rapid prototyping, production deployment
  • Features: Data collection, model training, optimization, deployment
  • Website: edgeimpulse.com

STM32Cube.AI

STMicroelectronics’ tool for deploying neural networks on STM32 MCUs.

  • Use case: Industrial IoT, consumer electronics
  • Features: Model analysis, code generation, benchmarking
  • Website: st.com/stm32cubeai

Model Optimization

TensorFlow Model Optimization Toolkit

Comprehensive toolkit for quantization, pruning, and clustering.

Benchmarking

MLPerf Tiny

Industry-standard benchmark for measuring ML performance on embedded devices.

  • Use case: Hardware comparison, competitive benchmarking
  • Workloads: Keyword spotting, visual wake words, image classification, anomaly detection
  • Website: mlcommons.org/en/inference-tiny

Visualization & Debugging

Netron

Visualizer for neural network models supporting all major formats.

  • Formats: ONNX, TensorFlow, PyTorch, TFLite, and more
  • Website: netron.app

Hardware-Specific SDKs

NVIDIA TensorRT

High-performance inference optimizer for NVIDIA GPUs.

Google Coral

Tools for Google’s Edge TPU accelerator.

  • Platforms: Coral Dev Board, USB Accelerator
  • Website: coral.ai