objfw
Portable, lightweight framework for the Objective-C language
ObjFW is a portable, lightweight framework for the Objective-C language. It
enables you to write an application in Objective-C that will run on any
platform supported by ObjFW without having to worry about differences between
operating systems or various frameworks you would otherwise need if you want to
be portable.
libmiallib1
JRC morphological and image processing library
Miallib is a C library including image processing and
mathematical morphology algorithms used by Join Research Center
in their Big Data Analytics Platform, with binding for Python
provided.
simgrid-java
Java bindings for the SimGrid Toolkit
SimGrid is a toolkit that provides core functionalities for the simulation of
distributed applications in heterogeneous distributed environments. SimGrid
can be used as a Grid simulator, a P2P simulator, a Cloud simulator, a MPI
simulator, or a mix of all of them. The typical use-cases of SimGrid include
heuristic evaluation, application prototyping, and real application
development and tuning.
rdf2rml
convert RDF data to either R2RML script or PlantUML diagram
The rdf2rml project provides two command-line tools:
* rdf2rml - convert RDF example to R2RML script
* rdfpuml - convert RDF to PlantUML diagram
python3-django-auditlog
Library for logging changes to Django models
This library records modifications to Django model instances along with the
user responsible for the change. It offers more flexibility compared to
Django's default admin log and provides a JSON summary of modifications,
allowing easy tracking of changes across models. Designed to be simple and
efficient, it minimizes storage use by avoiding full version control, instead
focusing on logging key attributes and actions for each change. It
communicates directly with Django models to capture and store these logs,
integrating seamlessly into Django-based applications.
yorick-optimpack
optimization of large scale problems for the Yorick language
OptimPack is a portable C library which implements algorithms for
optimization of large scale problems with bound constraints. Large
scale means some million variables (e.g. pixel values) or more.