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Heating Python Packages

Python packages with the GitHub topic heating. Sorted by monthly downloads, with stars and forks.
oemof
tespy

Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermodynamic modeling of thermal engineering plants such as power plants, heat pumps or refrigeration machines.

10K 426 143
marpi82
py-atmos-wg1000

Async Python client for the ATMOS WG1000 local WebSocket API (TLS, binary framing, register poll).

4K 0 0
ttroy50
pyephember

Simple monitor script for the EPH Controls Ember heating system

2K 15 12
KRoperUK
dimplex-controller

Unofficial async Python client for Dimplex (GDHV IoT) heating appliances

2K 0 0
EL1XR-dev
el1xr-opt

Core optimization model of EL1XR-dev — ecosystem.

1K 1 0
vmshops
controlel

Safe event-driven heating control for Home Assistant with a modular Python core.

1K 1 0
hculap
emodul

Local CLI + MCP server for Tech Sterowniki / eModul.pl floor-heating controllers. Talk to your TECH heating from Claude Desktop, Cursor, Continue, Claude Code & others via 16 MCP tools.

671 0 0
VY4E
vy4e-optmodel

Core optimization model of EL1XR-dev — ecosystem.

438 1 0
robroy1979
pyngbsicon

Home Assistant integration for NGBS iCON heating/cooling controllers — local, auto-discovered, every room and relay

407 0 0
marpi82
py-atmos-serial

Async passive RS485 listener for an ATMOS boiler bus (codec not reverse-engineered yet).

383 0 0
slesinger
pybmr

Python library for controling BMR HC64 heating

209 0 3
asantaga
wiser-heating-api

This is a simple python API for interacting with the wiser heating system

196 29 15
scls19fr
pandas-degreedays

A Python package to calculate degree days (DD or in french DJU - degré jour unifié) from measured outdoor temperatures and to make it possible to quantify drift of energy consumption for heating (or cooling)

97 15 5
tuw-eeg
hotmapsdispatch

A web user interface for energy systems modelling

81 9 6
JoElfner
multisim

A simulation tool for complex energy systems

69 11 2
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology