Home Projects presence_simulation
presence_simulation
Python

presence_simulation

Home Assistant Presence Simulation

by slashback100 · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
hacshistorichome-assistantMITPython
View on GitHub
In plain words

Simulate your presence at home by automatically controlling lights and devices based on your past activity.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
presence_simulation — GitHub preview card
📈 Star history
1 0291 028
2026-07-202026-08-31
📈 Track presence_simulation

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Home Assistant Presence Simulation

presence_simulation has 1k stars on GitHub. It has been forked 36 times. presence_simulation is written mainly in Python. It has been in active development since 2020. presence_simulation is available under the MIT license. Its main topics are hacs, historic, home-assistant, home-automation.

Frequently asked questions

What is presence_simulation?

Home Assistant Presence Simulation

Is presence_simulation open source?

presence_simulation is an open-source project. It is released under the MIT license.

Is presence_simulation free?

Yes. presence_simulation is free and open source — you can use, modify and self-host it.

What license does presence_simulation use?

presence_simulation is available under the MIT license.

What language is presence_simulation written in?

presence_simulation is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — presence_simulation

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=slashback100-presence-simulation)](https://olud.ai/project/slashback100-presence-simulation.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.