Python and MIT and OFL-1.1 and Public Domain
Application tuning GUI & command line utility
Provides interface to change the scheduler and IRQ tunables across the CPU and below per thread/IRQ level. Allows the CPU to be isolated for specific applications and drag and drop threads and interrupts to the CPU. You can complete the operation on the CPU socket to understand the CPU topology. Can be used as a command line utility without installing a GUI library.
acquired package info from repodata DB: repodata/f1f85c23079e7764ad00378a9fc5d660b89a03657290e75426caf7be5b7da462-primary.sqlite.bz2
A fast multidimensional array facility for Python
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
The gtk3 backend for python3-matplotlib.
Introspection system for GObject-based libraries
GObject Introspection can scan C header and source files in order to generate introspection "typelib" files. It also provides an API to examine typelib files, useful for creating language bindings among other things.
Plot stream of values read from standard input on the screen, along with statistics and histograms. Allows instant viewing of how signal generators (e.g. loop tests, signaltests or even pings) react when using tuna or regular chrt & taskket to change their scheduling strategy or real-time priorities.