YARsync

Yet Another Rsync is a file synchronization and backup tool. It can be used to synchronize data between different hosts or locally (for example, to a backup drive). It provides a familiar git command interface while working with files.

YARsync is a Free Software project covered by the GNU General Public License version 3.

Installation

yarsync is packaged for Debian/Ubuntu.

For Arch Linux, install the yarsync package from AUR. Packages for other distributions are welcome.

For an installation from PyPI, run

pip3 install yarsync

If you don't want to install it system-wide (e.g. for testing), see installation in a virtual environment in the Developing section.

For macOS Ventura the built-in version of rsync in macOS is 2.6.9, while yarsync requires a newer one. Run

brew install rsync
pip3 install yarsync

If rsync: --outbuf=L: unknown option occurs, make sure that a new version of rsync has been installed.

Since there is no general way to install a manual page for a Python package, one has to do it manually. For example, run as a superuser:

wget https://github.com/ynikitenko/yarsync/raw/master/docs/yarsync.1
gzip yarsync.1
mv yarsync.1.gz /usr/share/man/man1/
mandb

Make sure that the manual path for your system is correct. The command mandb updates the index caches of manual pages.

One can also install the most recent program version from GitHub. It incorporates latest improvements, but at the same time is less stable (new features can be changed or removed).

git clone https://github.com/ynikitenko/yarsync.git
pip3 install -e yarsync

This installs the yarsync executable to ~/.local/bin, and does not require modifications of PYTHONPATH. After that, one can pull the repository updates without reinstallation.

To uninstall, run

pip3 uninstall yarsync

and remove the cloned repository.

Design and features

yarsync can be used to manage hierarchies of unchanging files, such as music, books, articles, photographs, etc. Its final goal is to have the same state of files across different computers. It also allows to store backup copies of data and easily copy, update or recover that. yarsync is

distributed

There is no central host or repository for yarsync. If different replicas diverge, the program assists the user to merge the repositories manually.

efficient

The program is run only on user demand, and does not consume system resources constantly. Already transferred files will never be transmitted again. This allows the user to rename or move files or whole directories without any costs, driving constant improvements on the repository.

non-intrusive

yarsync does nothing to user data. It has no complicated packing or unpacking. All user data and program configuration are stored as usual files in the file system. If one decides to stop using yarsync, they can simply remove the configuration directory at any time.

simple

yarsync does not implement complicated file transfer algorithms, but uses an existing, widely accepted and tested tool for that. User configuration is stored in simple text files, and repository snapshots are usual directories, which can be modified, copied or browsed from a file manager. All standard command line tools can be used in the repository, to assist its recovery or to allow any non-standard operations (for the users who understand what they do). Read the yarsync documentation to understand its (simple) design.

safe

yarsync does its best to preserve user data. It always allows one to see what will be done before any actual modifications (--dry-run). It is its advantage compared to continous synchronization tools, that may be dangerous if local repository gets corrupt (e.g. encrypted by a trojan). Removed files are stored in older commits (until the user explicitly removes those).

Commands

checkout
clone
commit
diff
init
log
pull
push
remote
show
status

See yarsync --help for full command descriptions and options.

Requirements and limitations

yarsync is a Python wrapper (available for Python>=3.6) around rsync and requires a file system with hard links. Since these are very common tools, this means that it can easily run on any UNIX-like system. Moreover, yarsync is not required to be installed on the remote host: it is sufficient for rsync to be installed there.

In particular, rsync can be found:

• installed on most GNU/Linux distributions,
• installed on Mac OS,
• can be installed on Windows.

yarsync runs successfully on Linux. Please report to us if you have problems (or success) running it on your system.

Safety

yarsync has been used by the author for several years without problems and is tested. However, any data synchronization may lead to data loss, and it is recommended to have several data copies and always do a --dry-run (-n) first before the actual transfer.

Documentation

For the complete documentation, read the installed or online manual.

A 10-minute video with motivation, implementation ideas and overview of the tool (and 6 minutes more for questions) was recorded during a conference in 2024.

For more in-depth topics or alternatives, see details.

On the repository github, release notes can be found. On github pages there is the manual for yarsync 0.1.

An article in Russian that deals more with yarsync internals was posted on Habr.

Developing and contributing

You can use a virtual environment in order to avoid messing with your system while working on yarsync:

python3 -m venv ~/.venv/yarsync_dev
source ~/.venv/yarsync_dev/bin/activate
# download a clean repository or use the existing one with your changes
mkdir tmp && cd tmp
git clone https://github.com/ynikitenko/yarsync

To build and then install yarsync, run the following commands from the root of the repository:

cd yarsync
pip install -r requirements.txt
pip install .

Please make sure to run the tests and ensure you haven't broken anything before submitting a pull request.

pytest
# Or to increase verbosity level
# pytest -vvv

You can run tests on all supported Python versions by simply running tox in your virtual environment. Make sure to have installed some supported Python versions beforehand (at least two for tox to be useful).

tox

After all tests you can remove the created directories or leave them for future tests.

Thanks

A good number of people have contributed to the improvement of this software. I'd like to thank (in most recent order): statzitz for great help with updating tests for release v0.3, documentation and configuration, Yong Xiang Lin for several bug reports and useful discussions, Arch Linux users for their notifications and improvements of my PKGBUILD, Nilson Silva for packaging yarsync for Debian, Mikhail Zelenyy from MIPT NPM for the explanation of Python entry points, Jason Ryan and Matthew T Hoare for the inspiration to create a package for Arch, Scimmia for a comprehensive review and suggestions for my PKGBUILD, Open Data Russia chat for discussions about backup safety, Habr users and editors, and, finally, to the creators and developers of git and rsync.