-
php-pspell-7.2.8-1.lbn25.x86_64
The php-pspell package contains a dynamic shared object that will add
support for using the pspell library to PHP.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
php-recode-7.2.8-1.lbn25.x86_64
The php-recode package contains a dynamic shared object that will add
support for using the recode library to PHP.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
php-snmp-7.2.8-1.lbn25.x86_64
The php-snmp package contains a dynamic shared object that will add
support for querying SNMP devices to PHP. PHP is an HTML-embeddable
scripting language. If you need SNMP support for PHP applications, you
will need to install this package and the php package.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-amqp-5.0.6-1.lbn25.noarch
Low-level AMQP client for Python
This is a fork of amqplib, maintained by the Celery project.
This library should be API compatible with librabbitmq.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-anyjson-0.3.3-15.lbn25.py37.noarch
Anyjson loads whichever is the fastest JSON module installed and
provides a uniform API regardless of which JSON implementation is used.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-bcrypt-3.2.0-2.lbn25.x86_64
Modern password hashing for your software and your servers.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-billiard-3.6.4.0-1.lbn25.x86_64
This package contains extensions to the multiprocessing Pool.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-blinker-1.4-4.lbn25.noarch
Blinker provides a fast dispatching system that allows any number
of interested parties to subscribe to events, or "signals".
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-brlapi-0.7.0-13.lbn25.x86_64
This package provides the Python 3 binding for BrlAPI.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
-
python3-celery-5.1.2-2.lbn25.noarch
An open source asynchronous task queue/job queue based on
distributed message passing. It is focused on real-time
operation, but supports scheduling as well.
The execution units, called tasks, are executed concurrently
on one or more worker nodes using multiprocessing, Eventlet
or gevent. Tasks can execute asynchronously (in the background)
or synchronously (wait until ready).
Celery is used in production systems to process millions of
tasks a day.
Celery is written in Python, but the protocol can be implemented
in any language. It can also operate with other languages using
web hooks.
The recommended message broker is RabbitMQ, but limited support
for Redis, Beanstalk, MongoDB, CouchDB and databases
(using SQLAlchemy or the Django ORM) is also available.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 25
