Backuso: Backup your Data file with full SSH Support

Backuso: Backup your Data file with full SSH Support
Photo by Chris Briggs / Unsplash

Table of Content

Backuso is a free and open-source backup software that allows routine and automated backups of your computer to local or remote SSH systems.

It is configured with a simple text file and uses Python 3 and rsync as its core elements.

A local storage refers to any accessible location within your computer's directory structure. Typically, this would be a (large) hard drive conveniently mounted.

On the other hand, a remote storage refers to any resource accessed on your network through the secure SSH protocol. This can include a NAS (Network Attached Storage) within your local LAN or a server share on the internet.

Configuring Backuso is a breeze with a simple text file. You have the option to initiate backups manually or set them up to run automatically, for example, using crontab.

Built on Python 3 and powered by the reliable rsync software, Backuso is compatible with systems where rsync is available, such as Linux, FreeBSD, and Apple.

Features

  • Built-in rsync support
  • Backup
  • SSH Backup
  • Password free SSH login
  • Private and public SSH keys

Platforms

  • Linux

License

  • GNU General Public License version 3.0 (GPLv3)

Resources & Download

Backuso
Download Backuso for free. Backup software for your data to local and remote SSH systems. Backuso – pronounce like the opera singer ‘Caruso’ – is a software for routine and automated backups of your computer to either a local storage or a remote storage on an SSH server, or both. A local storage is anything accessible in the directory structure of your computer.







Open-source Apps

9,500+

Medical Apps

500+

Lists

450+

Dev. Resources

900+

Read more

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

The integration of artificial intelligence (AI), particularly large language models (LLMs) and machine learning algorithms, into healthcare has transformed the industry dramatically. These technologies enhance various aspects of patient care, from diagnostics and treatment recommendations to continuous patient monitoring. However, the application of AI in healthcare is not without challenges.