Lector de Feeds
okteta-0.26.17-1.mga10.src.rpm
In Mageia/cauldron/x86_64:
Okteta is a simple editor for the raw data of files. This type of
program is also called hex editor or binary editor.
Categorías: RPMs
okteta-0.26.17-1.mga10.src.rpm
In Mageia/cauldron/i586:
Okteta is a simple editor for the raw data of files. This type of
program is also called hex editor or binary editor.
Categorías: RPMs
ldb-2.8.0-4.mga10.src.rpm
In Mageia/cauldron/x86_64:
Library implementing Samba's embedded database and utilities for backing up,
restoring and manipulating the database.
Categorías: RPMs
ldb-2.8.0-4.mga10.src.rpm
In Mageia/cauldron/i586:
Library implementing Samba's embedded database and utilities for backing up,
restoring and manipulating the database.
Categorías: RPMs
med-5.0.0-1.mga10.src.rpm
In Mageia/cauldron/x86_64:
MED-fichier (Modélisation et Echanges de Données, in English Modelisation
and Data Exchange) is a library to store and exchange meshed data or
computation results. It uses the HDF5 file format to store the data.
Categorías: RPMs
med-5.0.0-1.mga10.src.rpm
In Mageia/cauldron/i586:
MED-fichier (Modélisation et Echanges de Données, in English Modelisation
and Data Exchange) is a library to store and exchange meshed data or
computation results. It uses the HDF5 file format to store the data.
Categorías: RPMs
paraview-5.12.1-3.mga10.src.rpm
In Mageia/cauldron/x86_64:
ParaView is an open-source, multi-platform data analysis and
visualization application. ParaView users can quickly build
visualizations to analyze their data using qualitative and
quantitative techniques. The data exploration can be done
interactively in 3D or programmatically using ParaViewâs batch
processing capabilities. ParaView was developed to analyze extremely
large datasets using distributed memory computing resources. It can be
run on supercomputers to analyze datasets of petascale as well as on
laptops for smaller data. ParaView is an application framework as well
as a turn-key application.
The ParaView code base is designed in such a way that all of its
components can be reused to quickly develop vertical
applications. This flexibility allows ParaView developers to quickly
develop applications that have specific functionality for a specific
problem domain. ParaView runs on distributed and shared memory
parallel and single processor systems.
Categorías: RPMs
paraview-5.12.1-3.mga10.src.rpm
In Mageia/cauldron/i586:
ParaView is an open-source, multi-platform data analysis and
visualization application. ParaView users can quickly build
visualizations to analyze their data using qualitative and
quantitative techniques. The data exploration can be done
interactively in 3D or programmatically using ParaViewâs batch
processing capabilities. ParaView was developed to analyze extremely
large datasets using distributed memory computing resources. It can be
run on supercomputers to analyze datasets of petascale as well as on
laptops for smaller data. ParaView is an application framework as well
as a turn-key application.
The ParaView code base is designed in such a way that all of its
components can be reused to quickly develop vertical
applications. This flexibility allows ParaView developers to quickly
develop applications that have specific functionality for a specific
problem domain. ParaView runs on distributed and shared memory
parallel and single processor systems.
Categorías: RPMs
networkmanager-1.49.90-1.mga10.src.rpm
In Mageia/cauldron/x86_64:
NetworkManager is a system service that manages network interfaces and
connections based on user or automatic configuration. It supports Ethernet,
Bridge, Bond, VLAN, Team, InfiniBand, Wi-Fi, mobile broadband (WWAN), PPPoE and
other devices, and supports a variety of different VPN services.
Categorías: RPMs
networkmanager-1.49.90-1.mga10.src.rpm
In Mageia/cauldron/i586:
NetworkManager is a system service that manages network interfaces and
connections based on user or automatic configuration. It supports Ethernet,
Bridge, Bond, VLAN, Team, InfiniBand, Wi-Fi, mobile broadband (WWAN), PPPoE and
other devices, and supports a variety of different VPN services.
Categorías: RPMs
dlm-4.3.0-1.mga10.src.rpm
In Mageia/cauldron/x86_64:
The kernel dlm requires a user daemon to control membership.
Categorías: RPMs
dlm-4.3.0-1.mga10.src.rpm
In Mageia/cauldron/i586:
The kernel dlm requires a user daemon to control membership.
Categorías: RPMs
csound-plugins-1.0.2-6.mga10.src.rpm
In Mageia/cauldron/x86_64:
Plugins collection for Csound which were originally in the
main repository.
Categorías: RPMs
csound-plugins-1.0.2-6.mga10.src.rpm
In Mageia/cauldron/i586:
Plugins collection for Csound which were originally in the
main repository.
Categorías: RPMs
chirp-20240905-4.mga10.src.rpm
In Mageia/cauldron/i586:
CHIRP is an open-source tool for programming radio transceivers.
It supports a large number of manufacturers and models, as well as providing
a way to interface with multiple data sources and formats.
This version is built from the chirp-next sources.
Categorías: RPMs
chirp-20240905-4.mga10.src.rpm
In Mageia/cauldron/x86_64:
CHIRP is an open-source tool for programming radio transceivers.
It supports a large number of manufacturers and models, as well as providing
a way to interface with multiple data sources and formats.
This version is built from the chirp-next sources.
Categorías: RPMs
python-tables-3.10.1-1.mga10.src.rpm
In Mageia/cauldron/x86_64:
PyTables is a Python package for managing hierarchical datasets
designed to efficiently and easily cope with extremely large amounts
of data. It is built on top of the HDF5 library and the NumPy package
(numarray and Numeric are also supported). PyTables features an
object-oriented interface and performance-critical extensions coded in
C (generated using Pyrex) that make it a fast yet extremely
easy-to-use tool for interactively processing and searching through
very large amounts of data. PyTables also optimizes memory and disk
resources so that data occupies much less space than with other
solutions such as relational or object-oriented databases (especially
when compression is used).
Categorías: RPMs
python-tables-3.10.1-1.mga10.src.rpm
In Mageia/cauldron/i586:
PyTables is a Python package for managing hierarchical datasets
designed to efficiently and easily cope with extremely large amounts
of data. It is built on top of the HDF5 library and the NumPy package
(numarray and Numeric are also supported). PyTables features an
object-oriented interface and performance-critical extensions coded in
C (generated using Pyrex) that make it a fast yet extremely
easy-to-use tool for interactively processing and searching through
very large amounts of data. PyTables also optimizes memory and disk
resources so that data occupies much less space than with other
solutions such as relational or object-oriented databases (especially
when compression is used).
Categorías: RPMs
python-netcdf4-1.7.1-1.mga10.src.rpm
In Mageia/cauldron/x86_64:
netCDF version 4 has many features not found in earlier versions of the
library and is implemented on top of HDF5. This module can read and write
files in both the new netCDF 4 and the old netCDF 3 format, and can create
files that are readable by HDF5 clients. The API modeled after
Scientific.IO.NetCDF, and should be familiar to users of that module.
Most new features of netCDF 4 are implemented, such as multiple unlimited
dimensions, groups and zlib data compression. All the new numeric data types
(such as 64 bit and unsigned integer types) are implemented. Compound and
variable length (vlen) data types are supported, but the enum and opaque data
types are not. Mixtures of compound and vlen data types (compound types
containing vlens, and vlens containing compound types) are not supported.
Categorías: RPMs
python-netcdf4-1.7.1-1.mga10.src.rpm
In Mageia/cauldron/i586:
netCDF version 4 has many features not found in earlier versions of the
library and is implemented on top of HDF5. This module can read and write
files in both the new netCDF 4 and the old netCDF 3 format, and can create
files that are readable by HDF5 clients. The API modeled after
Scientific.IO.NetCDF, and should be familiar to users of that module.
Most new features of netCDF 4 are implemented, such as multiple unlimited
dimensions, groups and zlib data compression. All the new numeric data types
(such as 64 bit and unsigned integer types) are implemented. Compound and
variable length (vlen) data types are supported, but the enum and opaque data
types are not. Mixtures of compound and vlen data types (compound types
containing vlens, and vlens containing compound types) are not supported.
Categorías: RPMs