XLED is a python library and command line interface (CLI) to control Twinkly - Smart Decoration LED lights for Christmas.

Official materials says:

Twinkly is a LED light device that you can control via smartphone. It allows you to play with colouful and animated effects, or create new ones. Decoration lights, not suitable for household illumination.

Since its Kickstarter project in 2016 many products were introduced with varying properties and features. Most notably products released since September 2019 are identified as Generation II. Older products are since then referred as Generation I.

Library and CLI are free software available under MIT license.

Both library and CLI tool are supported on Linux, primarily Fedora.

1. First make sure that you have pip installed. E.g. for Fedora:

   $ sudo dnf install python3-pip python3-wheel
   

2. You might want to create and activate a virtual environment. E.g.:

   $ mkdir -p ~/.virtualenvs
   $ python3 -m venv ~/.virtualenvs/xled
   $ source ~/.virtualenvs/xled/bin/activate
   

3. Install xled from PyPI:

   $ python3 -m pip install --upgrade xled
   

If you have installed the project into virtual environment, activate it first. E.g.

$ source ~/.virtualenvs/xled/bin/activate

Use of the library:

>>> import xled
>>> discovered_device = xled.discover.discover()
>>> discovered_device.id
'Twinkly_33AAFF'
>>> control = xled.ControlInterface(discovered_device.ip_address, discovered_device.hw_address)
>>> control.set_mode('movie')
<ApplicationResponse [1000]>
>>> control.get_mode()['mode']
'movie'
>>> control.get_device_info()['number_of_led']
210

Documentation for the library can be found online.

Use of the CLI:

$ xled on
Looking for any device...
Working on device: Twinkly_33AAFF
Turned on.

For more commands and options see xled --help.

My first Twinkly was 105 LEDs starter light set. That was the latest available model in 2017: TW105S-EU. As of December 2017 there are only two ways to control lights: mobile app on Android or iOS or hardware button on the cord.

Android application didn't work as advertised on my Xiaomi Redmi 3S phone. On first start it connected and disconnected in very fast pace (like every 1-2 seconds) to the hardware. I wasn't able to control anything at all. Later I wanted to connect it to my local WiFi network. But popup dialog that shouldn't have appear never did so.

Public API was promised around Christmas 2016 for next season. Later update from October 2016 it seems API won't be available any time soon:

API for external control are on our dev check list, we definitely need some feedback from the community to understand which could be a proper core set to start with.

It turned out that application uses HTTP to control lights. I ended up with capturing network traffic and documented this private API. In the end I'm able to configure the device pretty easilly.

As of 2020 Twinkly devices can be controlled by Amazon Alexa and Google Assistant as well. Mobile application now requires an account to operate lights even locally. No sign of public API for local devices though. Therefore with my second device - Twinkly 210 RGB+W Wall I keep improving this library and CLI documentation to be able to operate my devices locally and not rely on availability of manufacturer's servers.

Unofficial documentation of private protocol and API is available online.

There are other projects that might be more suitable for your needs:

• Twinkly integration in Home Assistant
• SmartThings:
  • Twinkly integration in SmartThings by StevenJonSmith
  • Twinkly integration in SmartThings by Dameon87
• TwinklyTree Binding for openHAB
• Twinkly HomeKit Hub for Mongoose OS using Twinkly library for Mongoose OS
• TwinklyWPF - .net 5 GUI and API library
• ioBroker.twinkly - twinkly adapter for ioBroker to communicate with the Twinkly lights
• Twinkly.vb for HomeSeer
• thingzi-logic-twinkly - Twinkly lights integration for node red
• Python class to interact with generation I device and IDA Pro loader of firmware binary in Twinkly Twinkly Little Star by F-Secure LABS.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.