python3-django-rich
Extensions for using Rich with Django (Python3 version)
Rich is a Python library for writing rich text (with color and style) to the
terminal, and for displaying advanced content such as tables, markdown, and
syntax highlighted code.
libslepc-real3.19t64
Scalable Library for Eigenvalue Problem Computations
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
libnutclient2
network UPS tools - new client library
Network UPS Tools (NUT) is a client/server monitoring system that
allows computers to share uninterruptible power supply (UPS) and
power distribution unit (PDU) hardware. Clients access the hardware
through the server, and are notified whenever the power status
changes.
libnutscan2
network UPS tools - scanner library
Network UPS Tools (NUT) is a client/server monitoring system that
allows computers to share uninterruptible power supply (UPS) and
power distribution unit (PDU) hardware. Clients access the hardware
through the server, and are notified whenever the power status
changes.
libslepc64-complex3.19t64
Scalable Library for Eigenvalue Problem Computations (64-bit)
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
libslepc64-real3.19t64
Scalable Library for Eigenvalue Problem Computations (64-bit)
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.