The libXpertMass and the libXpertMassGui shared libraries are designed to enshrine the non-GUI and the GUI functionalities needed by the following two mass spectrometry projects:

YANG is a data modeling language for the definition of data sent over network management protocols (RFC 6020/7950). It can be used to model both configuration data as well as state data of network elements and is primarily used by larger network equipment like routers and switches.

This library includes functionalities to compute the dew point, heat index, wind chill, and the 'Feels Like' temperature, which integrates air temperature, humidity, and wind speed to determine perceived temperature.

This library interfaces with the "Notifications for Android TV" and "Notifications for Fire TV" applications, allowing users to display customized messages on their television screens. Features include customizable titles, duration, font sizes, positions, background colors, and transparency levels for the notifications. The package supports interactive notifications that can be dismissed or expanded for more details, and it can handle local or remote image sources for notification icons.

Qt Sensors API provides access to sensor hardware via QML and C++ interfaces.

This library provides tools for integrating and parsing Bluetooth Low Energy (BLE) data from Mopeka IoT sensors. It is designed to facilitate the development of applications that interact with Mopeka's innovative sensor technology, which is widely used for monitoring various environmental parameters via BLE. The library simplifies the process of connecting to and interpreting data from Mopeka sensors, making it easier for developers to implement IoT solutions that leverage real-time sensor data.