Deduplicating archiver with compression and authenticated encryption.

Overview

BorgBackup Basic Usage

More screencasts: installation, advanced usage

What is BorgBackup?

BorgBackup (short: Borg) is a deduplicating backup program. Optionally, it supports compression and authenticated encryption.

The main goal of Borg is to provide an efficient and secure way to backup data. The data deduplication technique used makes Borg suitable for daily backups since only changes are stored. The authenticated encryption technique makes it suitable for backups to not fully trusted targets.

See the installation manual or, if you have already downloaded Borg, docs/installation.rst to get started with Borg. There is also an offline documentation available, in multiple formats.

Main features

Space efficient storage

Deduplication based on content-defined chunking is used to reduce the number of bytes stored: each file is split into a number of variable length chunks and only chunks that have never been seen before are added to the repository.

A chunk is considered duplicate if its id_hash value is identical. A cryptographically strong hash or MAC function is used as id_hash, e.g. (hmac-)sha256.

To deduplicate, all the chunks in the same repository are considered, no matter whether they come from different machines, from previous backups, from the same backup or even from the same single file.

Compared to other deduplication approaches, this method does NOT depend on:

  • file/directory names staying the same: So you can move your stuff around without killing the deduplication, even between machines sharing a repo.
  • complete files or time stamps staying the same: If a big file changes a little, only a few new chunks need to be stored - this is great for VMs or raw disks.
  • The absolute position of a data chunk inside a file: Stuff may get shifted and will still be found by the deduplication algorithm.
Speed
  • performance-critical code (chunking, compression, encryption) is implemented in C/Cython
  • local caching of files/chunks index data
  • quick detection of unmodified files
Data encryption
All data can be protected using 256-bit AES encryption, data integrity and authenticity is verified using HMAC-SHA256. Data is encrypted clientside.
Obfuscation
Optionally, borg can actively obfuscate e.g. the size of files / chunks to make fingerprinting attacks more difficult.
Compression

All data can be optionally compressed:

  • lz4 (super fast, low compression)
  • zstd (wide range from high speed and low compression to high compression and lower speed)
  • zlib (medium speed and compression)
  • lzma (low speed, high compression)
Off-site backups
Borg can store data on any remote host accessible over SSH. If Borg is installed on the remote host, big performance gains can be achieved compared to using a network filesystem (sshfs, nfs, ...).
Backups mountable as filesystems
Backup archives are mountable as userspace filesystems for easy interactive backup examination and restores (e.g. by using a regular file manager).
Easy installation on multiple platforms

We offer single-file binaries that do not require installing anything - you can just run them on these platforms:

  • Linux
  • Mac OS X
  • FreeBSD
  • OpenBSD and NetBSD (no xattrs/ACLs support or binaries yet)
  • Cygwin (experimental, no binaries yet)
  • Linux Subsystem of Windows 10 (experimental)
Free and Open Source Software
  • security and functionality can be audited independently
  • licensed under the BSD (3-clause) license, see License for the complete license

Easy to use

Initialize a new backup repository (see borg init --help for encryption options):

$ borg init -e repokey /path/to/repo

Create a backup archive:

$ borg create /path/to/repo::Saturday1 ~/Documents

Now doing another backup, just to show off the great deduplication:

$ borg create -v --stats /path/to/repo::Saturday2 ~/Documents
-----------------------------------------------------------------------------
Archive name: Saturday2
Archive fingerprint: 622b7c53c...
Time (start): Sat, 2016-02-27 14:48:13
Time (end):   Sat, 2016-02-27 14:48:14
Duration: 0.88 seconds
Number of files: 163
-----------------------------------------------------------------------------
               Original size      Compressed size    Deduplicated size
This archive:        6.85 MB              6.85 MB             30.79 kB  <-- !
All archives:       13.69 MB             13.71 MB              6.88 MB

               Unique chunks         Total chunks
Chunk index:             167                  330
-----------------------------------------------------------------------------

For a graphical frontend refer to our complementary project BorgWeb.

Helping, Donations and Bounties, becoming a Patron

Your help is always welcome!

Spread the word, give feedback, help with documentation, testing or development.

You can also give monetary support to the project, see there for details:

https://www.borgbackup.org/support/fund.html

Links

Compatibility notes

EXPECT THAT WE WILL BREAK COMPATIBILITY REPEATEDLY WHEN MAJOR RELEASE NUMBER CHANGES (like when going from 0.x.y to 1.0.0 or from 1.x.y to 2.0.0).

NOT RELEASED DEVELOPMENT VERSIONS HAVE UNKNOWN COMPATIBILITY PROPERTIES.

THIS IS SOFTWARE IN DEVELOPMENT, DECIDE YOURSELF WHETHER IT FITS YOUR NEEDS.

Security issues should be reported to the Security contact (or see docs/support.rst in the source distribution).

Documentation Build Status (master) Test Coverage Best Practices Score Bounty Source

Comments
Releases(1.2.3)
Owner
BorgBackup
Resistance is futile!
BorgBackup
Service for visualisation of high dimensional for hydrosphere

hydro-visualization Service for visualization of high dimensional for hydrosphere DEPENDENCIES DEBUG_ENV = bool(os.getenv("DEBUG_ENV", False)) APP_POR

hydrosphere.io 1 Nov 12, 2021
pytorch_example

pytorch_examples machine learning site map 정리자료 Resnet https://wolfy.tistory.com/243 convolution 연산 정리 https://gaussian37.github.io/dl-concept-covolut

injae hwang 1 Nov 24, 2021
DataAnalysis: Some data analysis projects in charles_pikachu

DataAnalysis DataAnalysis: Some data analysis projects in charles_pikachu You can star this repository to keep track of the project if it's helpful fo

9 Nov 04, 2022
PySpark Cheat Sheet - learn PySpark and develop apps faster

This cheat sheet will help you learn PySpark and write PySpark apps faster. Everything in here is fully functional PySpark code you can run or adapt to your programs.

Carter Shanklin 168 Jan 01, 2023
Gtech μLearn Sample_bot

Ser_bot Gtech μLearn Sample_bot Do Greet a newly joined member in a channel (random message) While adding a reaction to a message send a message to a

Jerin Paul 1 Jan 19, 2022
Show Rubygems description and annotate your code right from Sublime Text.

Gem Description for Sublime Text Show Rubygems description and annotate your code. Just mouse over your Gemfile's gem definitions to show the popup. s

Nando Vieira 2 Dec 19, 2022
Type hints support for the Sphinx autodoc extension

sphinx-autodoc-typehints This extension allows you to use Python 3 annotations for documenting acceptable argument types and return value types of fun

Alex Grönholm 462 Dec 29, 2022
Feature Store for Machine Learning

Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and

Feast 3.8k Dec 30, 2022
Tampilan - Change Termux Appearance With Python

Tampilan Gambar usage pkg update && pkg upgrade pkg install git && pkg install f

Creator Lord-Botz 1 Jan 31, 2022
The OpenAPI Specification Repository

The OpenAPI Specification The OpenAPI Specification is a community-driven open specification within the OpenAPI Initiative, a Linux Foundation Collabo

OpenAPI Initiative 25.5k Dec 29, 2022
Rust Markdown Parsing Benchmarks

Rust Markdown Parsing Benchmarks This repo tries to assess Rust markdown parsing

Ed Page 1 Aug 24, 2022
Course Materials for Math 340

UBC Math 340 Materials This repository aims to be the one repository for which you can find everything you about Math 340. Lecture Notes Lecture Notes

2 Nov 25, 2021
Ultimaker Cura 2 Mooraker Upload Plugin

Klipper & Cura - Cura2MoonrakerPlugin Allows you to upload Gcode directly from Cura to your Klipper-based 3D printer (Fluidd, Mainsailos etc.) using t

214 Jan 03, 2023
Repository for tutorials, examples and starter scripts for using the MTU HPC cluster

MTU-HPC-Starter Repository for tutorials, examples and starter scripts for using the MTU HPC cluster Connecting to the MTU HPC cluster Within the coll

1 Jan 31, 2022
the project for the most brutal and effective language learning technique

- "The project for the most brutal and effective language learning technique" (c) Alex Kay The langflow project was created especially for language le

Alexander Kaigorodov 7 Dec 26, 2021
Materi workshop "Light up your Python!" Himpunan Mahasiswa Sistem Informasi Fakultas Ilmu Komputer Universitas Singaperbangsa Karawang, 4 September 2021 (Online via Zoom).

Workshop Python UNSIKA 2021 Materi workshop "Light up your Python!" Himpunan Mahasiswa Sistem Informasi Fakultas Ilmu Komputer Universitas Singaperban

Eka Putra 20 Mar 24, 2022
A next-generation curated knowledge sharing platform for data scientists and other technical professions.

Knowledge Repo The Knowledge Repo project is focused on facilitating the sharing of knowledge between data scientists and other technical roles using

Airbnb 5.2k Dec 27, 2022
My Sublime Text theme

rsms sublime text theme Install: cd path/to/your/sublime/packages git clone https://github.com/rsms/sublime-theme.git rsms-theme You'll also need the

Rasmus 166 Jan 04, 2023
BakTst_Org is a backtesting system for quantitative transactions.

BakTst_Org 中文reademe:传送门 Introduction: BakTst_Org is a prototype of the backtesting system used for BTC quantitative trading. This readme is mainly di

18 May 08, 2021
Comprehensive Python Cheatsheet

Comprehensive Python Cheatsheet Download text file, Buy PDF, Fork me on GitHub or Check out FAQ. Contents 1. Collections: List, Dictionary, Set, Tuple

Jefferson 1 Jan 23, 2022