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RevLix is a powerful data recovery tool developed to recover deleted files on Linux systems. This program uses the PhotoRec infrastructure and provides a graphical userinterface (GUI) for PhotoRec.
A sysadmin tool that maps a sector (for example a bad sector) to a filename (so you know which file got trashed). It relies on and integrates a variety of other tools such as blkid, lvm, and debugfs to chase the sector number through the layers of partitions, logical volumes, and filesystems that are part of a modern system.
Content Based File level Data Backup in Python.
This is a utility to backup your files. It can do full and incremental backups.
It will take a directory as input, and will back up the files in that folder and all sub-folders to the backup destination directory.
It can compress each file individually while backing-up.
Mirrors the source directory structure under the target directory. Creates 1 archive file for each source file. Even if the backup/restore program or backup database is not...
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a gtk+ GUI front-end of fsarchiver with mounting facilities.
restoring is not yet functionnal.
======================================
PLANNING
-- v 0.35 ------------------------
> delete ex menu, add single menuitem with one entry per tab
> bind open file dialog actions on menuitem
> set appropriate path archive in convenient tab, then display tab
> show device path selection in status bar
> when select restore archive, show info and enable to_device list
...
PySnapshot is a backup program written in Python and inspired by rsnapshot. PySnapshot backs up directories to daily snapshots. Features: extensive error handling, email notification, verbose logging, very low maintenance, ease of use, reliability.
Backtory is a slim backup/restore software for unix-like operating systems, designed for stand-alone internet servers. It features differential backups, remote storage using various protocols as well as encryption/signing of backup archives.
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Search a data block for magic MIME identifiers and try to recover the found data using file type specific header information.
Currently recovers audio and video files best, but also recognizes PDFs and other file types.
New recipes for even more filetypes as well as contributors are welcome !
Logo: Derivative work of http://commons.wikimedia.org/wiki/File:Pied_Avocet_chick.jpg (CC-BY-SA)