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About

ExecuTorch is PyTorch’s open source framework for deploying AI/ML models directly to edge devices, enabling text, vision, speech, recommendation, and multimodal inference without requiring the cloud. It exports models from PyTorch without intermediate conversion formats, preserves ATen operators, and uses ahead-of-time compilation to optimize performance for target hardware before deployment. Its modular design lets developers choose compile-time and runtime optimizations while staying inside the familiar PyTorch ecosystem, including torchao for quantization. A portable C++ runtime with a base footprint of about 50 KB can run on smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. ExecuTorch supports Android, iOS, Linux, Windows, macOS, and WebAssembly, with native APIs for C++, Swift, Kotlin, and Objective-C.

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI developers and engineering teams that need to deploy optimized PyTorch models for on-device inference across smartphones, embedded systems, and microcontrollers

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

ExecuTorch
United States
executorch.ai/

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

LiteRT

LiteRT

Google

Categories

AI Inference Supported

Categories

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

Azure Data Science Virtual Machines Not Supported
C++ Supported
Cirrascale Not Supported
Diffgram Data Labeling Not Supported
EdgeCortix Not Supported
Flex83 Not Supported
Flower Not Supported
Gemini Enterprise Agent Platform Not Supported
Gemma 2 Not Supported
GigaSpaces Not Supported
Google Cloud Deep Learning VM Image Not Supported
Keepsake Not Supported
LLaVA Supported
ModelOp Not Supported
Nutanix Karbon Platform Services Not Supported
Rosepetal AI Not Supported
Segments.ai Not Supported
Yandex Data Proc Not Supported
ZETIC.ai Not Supported

Integrations

Azure Data Science Virtual Machines Supported
C++ Not Supported
Cirrascale Supported
Diffgram Data Labeling Supported
EdgeCortix Supported
Flex83 Supported
Flower Supported
Gemini Enterprise Agent Platform Supported
Gemma 2 Supported
GigaSpaces Supported
Google Cloud Deep Learning VM Image Supported
Keepsake Supported
LLaVA Not Supported
ModelOp Supported
Nutanix Karbon Platform Services Supported
Rosepetal AI Supported
Segments.ai Supported
Yandex Data Proc Supported
ZETIC.ai Supported
Claim ExecuTorch and update features and information
Claim ExecuTorch and update features and information
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information