gccgo-14-multilib-x86-64-linux-gnu
GNU Go compiler (multilib support) (cross compiler for amd64 architecture)
This is the GNU Go compiler, which compiles Go on platforms supported
by the gcc compiler.
python3-djangorestframework-flex-fields
Dynamic fields and nested resources for DRF (Python3 version)
FlexFields (DRF-FF) for Django REST Framework is a package designed to provide
a common baseline of functionality for dynamically setting fields and nested
models within DRF serializers. To remove unneeded fields, you can dynamically
set fields, including nested fields, via URL parameters
(?fields=name,address.zip) or when configuring serializers. Additionally, you
can dynamically expand fields from simple values to complex nested models, or
treat fields as "deferred", and expand them on an as-needed basis.
libgl4es0
GL4ES - OpenGL for GLES Hardware -- runtime library
This is a library provide OpenGL 2.x functionality for GLES2.0 accelerated
Hardware (and of course also support OpenGL 1.5 function, so metimes better
than when using GLES 1.1 backend) There is also support for GLES 1.1 Hardware,
emulating OpenGL 1.5, and some OpenGL 2.x + extensions.
gir1.2-nma4-1.0
GObject introspection data for libnma-gtk4
The libnma-gtk4 library provides GTK 4 dialogs for NetworkManager.
libmlt++7
MLT multimedia framework C++ wrapper (runtime)
MLT is an open source multimedia framework, designed and developed for
television broadcasting. It provides a toolkit for broadcasters, video
editors, media players, transcoders, web streamers and many more types of
applications. The functionality of the system is provided via an assortment
of ready to use tools, xml authoring components, and an extendible plug-in
based API.
pyomop
OHSDI OMOP Common Data Model tools
The OHSDI OMOP Common Data Model allows for the systematic analysis of
healthcare observational databases. This is a Python library to use the CDM v6
compliant databases using SQLAlchemy as the ORM. pyomop also supports
converting query results to a pandas dataframe (see below) for use in machine
learning pipelines.