There are 3 repositories under snap7 topic.
A cross-platform IoT gateway based on .net6. Through visual configuration, you can easily connect to any of your devices and systems (such as PLC, barcode scanner, CNC, database, serial device, host computer, OPC Server, OPC UA Server, Mqtt Server, etc.), so as to interact with Thingsboard, IoTSharp or Your own IoT platform for two-way data communication. Provide a simple driver development interface; of course, edge computing can also be performed.
A Python wrapper for the snap7 PLC communication library
Mokka7 is native port of Snap7 core in pure Java (fork of moka7 http://snap7.sourceforge.net) and parts of Sharp7.
This project aim is to provide free software to fetch data from plcs (Siemens S7-300/400/1200/1500) and store it. Used stack is completly opensource. I used InfluDB as data storage, so application principle is following Big Data paradigm.
PyQt5 user interface to control a Siemens PLC with Snap7 library by Davide Nardella
Homebridge plugin for Siemens Step7 and compatible PLCs
Open-source framework for Edge-Computing of Cyber-Physical Production Systems
SmartIOT.Connector is a simple connector and scheduler that lets you connect your IoT devices to the cloud and more
The translation of the fabulous Snap7 library to PHP
Simple zabbix script, to get values from Siemens S7 PLCs using snap7 suite
EPEdashboard is a modern user interface with login created using Qt Design Studio.
Agricultural Products & Fruits sorting machine (APFsort) DEMO ver1.0
Asyncronous, non-blocking Snap7 (aka s7 protocol) bindings for Node.js
A python library project that simplifies snap7 library which enables communication between siemens S7 controllers and a PC. It has enough functions to run a script inside a PC and use S7 controller to just read inputs and control outputs.
Docker Version for Snap7
Schematics Alpha / HMI for Milling line
implement a simple csharp grpc server testing with python grpc client
Project that receives and sends the data from the PLC and Arduino to a Database. The data can be seen on Browser.
keyence raw data processing