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Buddy (also known as Buddy.Works) is a web-based and self-hosted continuous integration and delivery software for Git developers that can be used to build, test, and deploy web sites and applications with code from GitHub, Bitbucket, and GitLab.
Often, the development branch is the trunk. Some revision control systems have specific jargon for the main development branch. For example, in CVS, it is called the "MAIN" branch. Git uses "master" by default, although GitHub [4] [5] and GitLab switched to "main" after the murder of George Floyd.
Git's design is a synthesis of Torvalds's experience with Linux in maintaining a large distributed development project, along with his intimate knowledge of file-system performance gained from the same project and the urgent need to produce a working system in short order. These influences led to the following implementation choices: [14]
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a developer platform that allows developers to create, store, manage, and share their code.It uses Git software, which provides distributed version control of access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [6]
In version control systems, a repository is a data structure that stores metadata for a set of files or directory structure. [1] Depending on whether the version control system in use is distributed, like Git or Mercurial, or centralized, like Subversion, CVS, or Perforce, the whole set of information in the repository may be duplicated on every user's system or may be maintained on a single ...
branch – commit –branch clone/open update N/A add rm/del mv/rename N/A merge commit revert Fossil's repository is single sqlite file itself N/A Git: init – init –bare clone – clone –bare fetch push branch checkout pull N/A add rm mv cp [then] git add [nb 67] merge commit reset –hard bundle rebase Mercurial: init clone pull push
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lakeFS is a data versioning engine that manages data in a way similar to code. By using operations such as branching, committing, merging, and reverting, which resemble those found in Git, it facilitates the handling of data and its corresponding schema throughout the entire data life cycle.