Autopilot is able to configure your system packages and environment after installation, but if you want to manually install system dependencies there are dependency lists near the bottom of this page.
Installation with pip¶
If you’re just taking a look at Autopilot, the easiest way to get started is to install with pip!:
pip3 install auto-pi-lot
I’m just figuring out python packaging and this is a pretty complicated one to package! please submit issues if the pip install isn’t working!
Installation from git¶
If you want to start writing your own experiments and tinkering with Autopilot, we strongly recommend forking the repository and developing directly in the library so your gorgeous insights can be integrated later.
git clone https://github.com/wehr-lab/autopilot.git pip3 install -e ./
After installation, set Autopilot up!
The setup routine will
install needed system packages
prepare your operating system and environment
set system preferences
create a user directory (default
~/autopilot) to store prefs, logs, data, etc.
create a launch script
python3 -m autopilot.setup.setup_autopilot
Each runtime of Autopilot is called an “Agent,” each of which performs different roles within a system, and thus have different requirements.
Each agent has a set of systemwide preferences stored in
<AUTOPILOT_DIR>/prefs.json and accessible from
If configuring a Pilot, you’ll be asked to configure your hardware.
ctrl+x to add Hardware, and fill in the relevant parameters (most are optional and can be left blank)
Autopilot is linux/mac only, and supports Python 3.7. Some parts might accidentally work in Windows but we make no guarantees.
In particular, the Terminal was designed for Ubuntu, and the Pilot was designed for the Raspberry Pi OS.
We have tried to take care to make certain platform-specific dependencies not break the entire package, so if you have some difficulty installing autopilot on a non-raspberry-pi linux machine please submit an issue!