OpenPLC EditorOpenPLC
|
||||||
Related Products
|
||||||
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
The OpenPLC Editor is an IEC 61131-3 compliant PLC editor totally free and open source. You can use it to upload PLC code directly to any board or system running OpenPLC Runtime. OpenPLC is an open-source programmable logic controller that is based on easy-to-use software. It is the first fully functional standardized open-source PLC, both in software and hardware. The OpenPLC project was created in accordance with the IEC 61131-3 standard, which defines the basic software architecture and programming languages for PLCs. OpenPLC is mainly used in industrial and home automation, the internet of things, and SCADA research. The Runtime is a portable software designed to run from the smallest of all microcontrollers (Arduino-compatible) to powerful servers in the cloud. It is responsible for executing the PLC programs you create using the Editor. The OpenPLC Editor is the software that runs on your computer and, as mentioned, is used to create your PLC programs.
|
|||||
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
Not Supported
On-Premises
Not 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
Companies in the industrial, automation, and SCADA research seeking a solution to create PLC programs
|
|||||
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
Not 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/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
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 InformationExecuTorch
United States
executorch.ai/
|
Company InformationOpenPLC
United States
openplcproject.com/download/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
C++
Supported
Facebook
Supported
Instagram
Supported
Kotlin
Supported
LLaVA
Supported
Llama 3.2
Supported
Muse Glimmer
Supported
Objective-C
Supported
OpenAI Whisper
Supported
Phi-4-mini-reasoning
Supported
|
Integrations
C++
Not Supported
Facebook
Not Supported
Instagram
Not Supported
Kotlin
Not Supported
LLaVA
Not Supported
Llama 3.2
Not Supported
Muse Glimmer
Not Supported
Objective-C
Not Supported
OpenAI Whisper
Not Supported
Phi-4-mini-reasoning
Not Supported
|
|||||
|
|
|