What is SVN (Subversion)?
Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.
SVN (Subversion) is a tool in the Version Control System category of a tech stack.
SVN (Subversion) is an open source tool with 435 GitHub stars and 153 GitHub forks. Here’s a link to SVN (Subversion)'s open source repository on GitHub
Who uses SVN (Subversion)?
123 companies reportedly use SVN (Subversion) in their tech stacks, including LinkedIn, Accenture, and doubleSlash.
556 developers on StackShare have stated that they use SVN (Subversion).
SVN (Subversion) Integrations
DataGrip, Zulip, Phabricator, CocoaPods, and Flowdock are some of the popular tools that integrate with SVN (Subversion). Here's a list of all 23 tools that integrate with SVN (Subversion).
Pros of SVN (Subversion)
Easy to use
Simple code versioning
Complicated code versionioning by Subversion
Dec 10 2019 at 8:35AM
SVN (Subversion) Alternatives & Comparisons
What are some alternatives to SVN (Subversion)?
See all alternatives
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.
Plastic SCM is a distributed version control designed for big projects. It excels on branching and merging, graphical user interfaces, and can also deal with large files and even file-locking (great for game devs). It includes "semantic" features like refactor detection to ease diffing complex refactors.
It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.
It is an interface to the version control system Git, implemented as an Emacs package. It aspires to be a complete Git porcelain. While we cannot (yet) claim that it wraps and improves upon each and every Git command, it is complete enough to allow even experienced Git users to perform almost all of their daily version control tasks directly from within Emacs. While many fine Git clients exist, only deserve to be called porcelains.