Installation of Open Peer Power


Beginners should check our [Getting started guide](/getting-started/) first.

Open Peer Power provides multiple ways to be installed. The first start may take up to 20 minutes because the required packages will be downloaded and installed. The web interface will be served on http://ip.add.re.ss:8123/. Replace ip.add.re.ss with the IP of the computer you installed it on.

Please remember to [secure your installation](/docs/configuration/securing/) once you've finished with the installation process.

Hardware

Below is a list of minimum requirements

Type Minimum
Storage 32 GB
Memory 1 GB
Network 100 Mb/s wired
Power (if Pi) At least 2.5A

Performance expectations

This is a list of popular platforms and what to expect from them.

Platform Notes
Raspberry Pi Zero/Pi 2 Only use these for testing
Raspberry Pi 3/3+/4 This is a good starting point, and depending on the amount of devices you integrate this can be enough - use an A2 class SD card if possible.
NUC i3 This is if you need a little more power over a Pi
NUC i5 This will allow you to run multiple services without any issues, perfect for a homelab
NUC i7/i9 Pure power, you should not have any performance issues

These install options are fully supported by Open Peer Power’s documentation. For example, if an integration requires that you install something to make it work on one of these methods then the integration page will document the steps required.

Alternative installs

If you use these install methods, we assume that you know how to manage and administer the operating system you’re using. Due to the range of platforms on which these install methods can be used, integration documentation may only tell you what you have to install, not how to install it.

Method You have Recommended for
venv
(as another user)
Any Linux, Python 3.7 or later Those familiar with their operating system
venv
(as your user)
Any Python 3.7 or later Developers

Community provided guides

These guides are provided as-is. Some of these install methods are more limited than the methods above. Some integrations may not work due to limitations of the platform or because required Python packages aren’t available for that platform.