libxpertmassgui1

C++ mass spectrometry libraries (GUI runtime files)

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:

python3-pyside6.qtdbus

Python bindings for Qt 6 DBus (Python 3)

pyside6 provides Python bindings for Qt 6.x framework.

libyang3

parser toolkit for IETF YANG data modeling language (library)

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.

python3-pyside6.qtgui

Python bindings for Qt 6 Gui module (Python 3)

pyside6 provides Python bindings for Qt 6.x framework.

python3-meteocalc

Python library for calculating meteorological variables

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.

python3-mopeka-iot-ble

Python library for parsing Mopeka IoT BLE sensor data

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.