Ubuntu
python-freezerclient package

python-freezerclient 5.1.0-2 source package in Ubuntu

Changelog

python-freezerclient (5.1.0-2) unstable; urgency=medium

  * Uploading to unstable.

 -- Thomas Goirand <email address hidden>  Mon, 19 Jun 2023 12:06:07 +0200

Upload details

Uploaded by:
Debian OpenStack
Uploaded to:
Sid
Original maintainer:
Debian OpenStack
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc

Builds

Mantic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-freezerclient_5.1.0-2.dsc 2.5 KiB 791eb9c3f01a3f34d86a233c8c16c4a03e2977e7e486471fb32e19cd3bf6a96b
python-freezerclient_5.1.0.orig.tar.xz 34.0 KiB 199ac681822519c0450d5d8fa70e51d7e925bfa6e156701c5104a7a0d8eb7ef9
python-freezerclient_5.1.0-2.debian.tar.xz 2.8 KiB 118e49353616bfe59e4517a7e8cb547e3d92b1a065a6223c988ed807c22a4ace

Available diffs

No changes file available.

Binary packages built by this source

python-freezerclient-doc: OpenStack backup restore and disaster recovery service - doc files

 Freezer is a distributed backup restore and disaster recovery as a service
 platform. It is designed to be multi OS (Linux, Windows, OSX, *BSD), focused
 on providing efficiency and flexibility for block based backups, file based
 incremental backups, point-in-time actions, jobs synchronization (i.e.
 backup synchronization over multiple nodes) and many other features.
 It is aimed at being useful for all environments, including large
 ephemeral Clouds.
 .
 This package contains the documentation.

python3-freezerclient: OpenStack backup restore and disaster recovery service - client files

 Freezer is a distributed backup restore and disaster recovery as a service
 platform. It is designed to be multi OS (Linux, Windows, OSX, *BSD), focused
 on providing efficiency and flexibility for block based backups, file based
 incremental backups, point-in-time actions, jobs synchronization (i.e.
 backup synchronization over multiple nodes) and many other features.
 It is aimed at being useful for all environments, including large
 ephemeral Clouds.
 .
 This package contains the Python 3.x module.