python-snap7
Pure Python S7 communication library for Siemens PLCs
Decision gist · record as of 2026-08-14
Yes. The library is actively maintained, production-stable (Development Status 5), has zero known vulnerabilities, and eliminates installation friction by being pure Python with no native dependencies. It is well-suited for industrial automation projects targeting Python 3.10+. The recent 3.1 release adds AsyncClient support and modern features. Install it if you need to communicate with Siemens S7 PLCs from Python.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python package with no native dependencies, works on Python 3.10+.
- Repository is active with recent release 4 days old and 830 stars.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most industrial and commercial deployments.
last release 2026-08-10 (4 days) · last repo commit 2026-08-14 · 830 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 255,247 downloads/mo, #8,481 on PyPI
Alternatives
Verify before relying
pip install python-snap7
import snap7
client = snap7.Client()
client.connect("192.168.1.10", 0, 1)
data = client.db_read(1, 0, 4)
client.disconnect()- Performance characteristics when handling high-frequency reads on large datasets
- Compatibility with specific Siemens S7 PLC models and firmware versions
- Production-readiness of heartbeat monitoring and auto-reconnect features
What it is and what it does
Python-snap7 is a pure Python implementation of the S7 protocol stack for communicating with Siemens S7 PLCs over Ethernet. As of version 3.0, it no longer wraps a C library; instead, the entire protocol stack (TPKT, COTP, and S7) is implemented in pure Python. This eliminates platform-specific shared libraries and makes installation straightforward across Windows, Linux, macOS, and ARM systems. The library provides both synchronous and asynchronous APIs for reading and writing PLC memory, with recent additions including tag-based read/write by symbolic name, multi-variable read optimization, S7 routing for remote PLCs, heartbeat monitoring with auto-reconnect, and PROFINET DCP network discovery.
The package targets industrial automation developers who need to interface Python applications with Siemens PLCs. It requires Python 3.10+ but has no external runtime dependencies, making it portable across diverse deployment environments. Version 3.1 adds AsyncClient for asyncio support, structured logging, and CLI tools.
Use it for
- Read sensor data and device status from Siemens PLCs in real-time monitoring or data collection applications
- Write control commands to PLCs from Python automation scripts or supervisory systems
- Build async Python services that communicate with multiple PLCs concurrently without blocking
- Discover and interact with PLCs on a network using PROFINET DCP and S7 routing
- Integrate PLC communication into Python-based SCADA or industrial IoT platforms
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The library is actively maintained, production-stable (Development Status 5), has zero known vulnerabilities, and eliminates installation friction by being pure Python with no native dependencies. It is well-suited for industrial automation projects targeting Python 3.10+. The recent 3.1 release adds AsyncClient support and modern features. Install it if you need to communicate with Siemens S7 PLCs from Python.
Install
python-snap7 on PyPI
Before you install
Low friction: pure Python package with no native dependencies, works on Python 3.10+. Repository is active with recent release 4 days old and 830 stars.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most industrial and commercial deployments.
Quickstart
pip install python-snap7
import snap7
client = snap7.Client()
client.connect("192.168.1.10", 0, 1)
data = client.db_read(1, 0, 4)
client.disconnect()Verify before relying
- Performance characteristics when handling high-frequency reads on large datasets
- Compatibility with specific Siemens S7 PLC models and firmware versions
- Production-readiness of heartbeat monitoring and auto-reconnect features
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 255,247 / month, #8,481 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: ManufacturingOperating System :: POSIXProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Hardware |
Evidence: python_snap7-3.1.2-py3-none-any.whl
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