AquaSuite to SteelSeries Engine APEX Pro LCD

This project demonstrates how to display telemetry data from the AquaSuite software of your PC water cooling system on your APEX Pro keyboard. Note that it is meant as technology demonstrator only, the telemetry endpoints are hard-coded, and so is the path to the JSON export.

1. Overview

I wanted to show some important data such as the liquid temperature, the fan power and the current flow on of my AquaComputer devices and custom cooling loop on an external display. While some components already feature OLED screens, the machine sits under my desk, and therefore, I cannot watch the displays easily.

Putting an extra display, such as one of the VISION, on the desk, was also a no-go, because it's an additional thing and it needs a quite sturdy USB wire.

I decided to use the APEX Pro keyboard's OLED instead, because it is in view already, and they offer a JSON-API to display data there.

At the end of the day, it will look like this:

• Temperature display (icons for both low and high temperature available)
  
• Flow-Meter (sensor setup required!)
  
• Cooling power dissipation (sensor setup required!)
  

2. Prerequisites

Some hardware is required for this script to work and run properly.

• An aquacomputer water cooling system with at least:
  • a flow sensor (dedicated or calculated by the pump),
  • a fan controller,
  • and temperature sensors to get the highest temperature difference in the loop.
• A SteelSeries APEX Pro keyboard with a 128x40 pixel OLED screen. I tested the APEX Pro and the APEX Pro Gen 3.

Note

In theory, all SteelSeries devices with an OLED screen should work, but you'd need to adapt the code to generate an image in the correct size. The SteelSeries GG Software is quite picky when it comes to incoming data.

2. Installation

You need to install and configure several things until the data is displayed.

2.1 AquaSuite Sensor Setup

First, make sure that you have the sensor data available that you want to display. Here's my setup, yours might be different.

2.1.1 Temperature Sensors

As my HighFlow sensor is placed after CPU and GPU, and before any radiators, I use its sensor for the cooleant's return temperature ("Rücklauf") value in °C.

To measure the lowest temperature ("Vorlauf"), I have an additional sensor in the loop after the radiators, and before the CPU.

2.1.2 Flow Meter Sensor

Also, my HighFlow sensor is used to measure the flow in l/h directly. In case you don't have one, you could also use the estimation from your D5 next pump, after configuring and calibrating it through the AquaSuite Software.

2.1.3 Cooling Power Dissipation [Software] Sensor

For this value, I use the Playground function to create a software sensor that calculates the cooling power in W, and it needs a temperature sensor on the coolest point (in my case this is an analogue temperature sensor wrapped around the output terminal of the last radiator), and at the hottest point (e.g., right after the CPU/GPU combo). In my case, it's the water temperature sensor of the HighFlow component.

The software sensor then looks like this:

There are two constants defined, values as follows:

• Faktor [l/h] in [m^3/h]: 0.0010
• Faktor: 860.0000 (this one calculates the power dissipation in W)

Note

Of course, in case you have the wired external hardware temperature sensor connected to the HighFlow sensor, and in case it is placed directly before any heat source (ideally after the radiators to get the lowest temperature of the loop), you can use the power value from the sensor directly.
The HighFlow Next unfortunately does not support an external data source for this value, and according to AquaComputer, it will not be possible to transfer data via USB into the sensor \(°-°)/.

2.1.4 Fans Power Sensors

This is easy - as I have four fan groups, I simply use their respective output power from the Quattro fan controller to have values for the fan power bars on the right.

Note

The sensor should output a percentage value (0-100%).
Also, the first letter of the sensor's name is used on the OLED screen - you should name them appropriately.

2.2 AquaSuite Log Export

• Open the AquaSuite software and navigate to the Data Logger --> Automated Data Export section.
• There, configure an automated export:
  • JSON format
  • every second
  • C:\Windows\Temp\AquaSuiteExport.json

Note

I also tried the shared memory export, but could not get the python script to read the data.
Also, make sure to add the desired sensors to the output by using the (+) add button on that page.

It should look something like this:

2.3 Data Mapping

Lastly, the mapping between the JSON path of the data and the variables here in the script needs to be adapted. Have a look at the exported JSON file and take note of the DataSourcePath elements in each exported sensor node.

Those are required to match the expected data for the screen image creation.

You need to modify the filter lines around line 306 and below to adapt the mapping to your output. I left mine in there to show some examples.

Some notes regarding the bar output of the fans:

• The code is designed to display 1-4 fans.
• The bars will start to be drawn from the right.
• Therefore, if you have less than 4 fans or fan groups, just remove the mapping(s) not required.
• Also make sure to reference a sensor yielding a percentage value between 0 and 100.

Here is an example listing for the c:\Windows\Temp\AquaSuiteExport.json:

{
  "Name": "AquaSuiteExport",
  "ExportTime": "2026-02-24T12:35:51.1843641+01:00",
  "Logdata": [
    {
      "time": "2026-02-24T11:35:50.998",
      "t": "2026-02-24T11:35:50.998",
      "value": 26.74,
      "name": "Wasser Vorlauf",
      "unit": "\u00B0C",
      "valueType": "TEMPERATURE_C",
      "device": "QUADRO",
      "DataSourcePath": "quadro:1305159824:data\\temperatures\\3"
    },
  [...]
}

It is the low temperature sensor. In main.py, we therefore need to put the value quadro:1305159824:data\\temperatures\\3 of DataSourcePath into the part for the temp_low part of the loop like so:

# line 306
        for value in systemData['Logdata']:
            if value.get("DataSourcePath") == 'quadro:1305159824:data\\temperatures\\3':
                temp_low = value.get("value", 0)

Usage

Simply execute the main program with py .\main.py.

In case you want the output image saved to disc: py .\main.py --save-output.

Requirements

• Python 3.9+
• AquaSuite Software
• AquaComputer water cooling components for fans, temperature and flow.

License

MIT

Contributing

Pull requests of course welcome.