Open Source Python Data Recovery Software

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 user interface (GUI) for PhotoRec.

General software and open source projects

Using this project you can make backup and track changes of configuration of network devices like switches, routers, etc.

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 > or inform that password is required -- v.0.36 ------------------------ > internationnalization : update all missing trad. > implements archive and restore directories. > add info for multiple mount point > disable mounting options for root partitions > try to play sound

Dies ist ein Daten-Rettungstool. Unterstützte Formate sind: -Videos: .mp4, .mov, .mkv, .avi -Audio: .mp3, .flac, .wav, .wma -Bilder: .jpg (mit intelligenter End-Marker-Suche), .png, .gif, .bmp, .tif, .webp -Dokumente: .pdf (mit präzisem %%EOF Schnitt), .doc, .docx, .xlsx, .pptx sowie .txt (für rohe Textfragmente über 40 Zeichen). -Archive: .zip, .rar, .7z, .tar.gz Ein KI programmiertes Tool zur Datenrettung.

help user to restore files quarantined by McAfee after end of subscription, or if you don't like their limited interface.

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.

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 available or lost, the backup files and structure can still be recovered. Huge plus for reliability. Uses a SQL database to manage backup file information. The files are managed through their checksum (SHA256). See wiki page for additional information: https://sourceforge.net/p/filebasedbackup/wiki/Home/ The project is work in progress. Main backup script is functional, but i have taken a break from adding features to the main program to build a GUI in Tkinter.

Simple PyGTK app that creates and checks MD5 and CRC32 (SFV) checksums.

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.

This is a recovery tool for Ext4 Filesystem.

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.

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)

Opendmp is an implementation of the NDMP v4 protocol written in python.

Up-to-date remote data access for pandas. Works for multiple versions of pandas. Install using pip and then import and use one of the data readers. This example reads 5-years of 10-year constant maturity yields on U.S. government bonds. Stable documentation is available on github.io. A second copy of the stable documentation is hosted on read the docs for more details.