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.