Search results
Results from the WOW.Com Content Network
There are tools to manage version control for source code repositories, ticket tracking, discussions, wiki pages, blogs and more. Allura can also export project data, as well as import data from a variety of sources, such as Trac, Google Code, GitHub, and, of course, Allura itself.
Trac is an open-source, web-based project management and bug tracking system. It has been adopted by a variety of organizations for use as a bug tracking system for both free and open-source software and proprietary projects and products. [4] Trac integrates with major version control systems including ("out of the box") Subversion and Git.
Git, Subversion, Mercurial Linux, macOS, Windows pre- and post-commit Gerrit: Google, Inc. actively developed Apache v2 Git Java EE: pre-commit Gitea: Gitea actively developed MIT: Git Linux, macOS, Windows pre- and post-commit GitHub: GitHub, Inc. actively developed Proprietary: Git Linux, macOS, Windows pre- and post-commit GitLab: GitLab Inc.
update: Update the files in a working copy with the latest version from a repository; lock: Lock files in a repository from being changed by other users; add: Mark specified files to be added to repository at next commit; remove: Mark specified files to be removed at next commit (note: keeps cohesive revision history of before and at the remove.)
git add [file], which adds a file to git's working directory (files about to be committed). git commit -m [commit message], which commits the files from the current working directory (so they are now part of the repository's history). A .gitignore file may be created in a Git repository as a plain text file. The files listed in the .gitignore ...
Gitea (/ ɡ ɪ ˈ t iː / [3]) is a forge software package for hosting software development version control using Git as well as other collaborative features like bug tracking, code review, continuous integration, kanban boards, tickets, and wikis.
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
Data and model versioning is the base layer [21] of DVC for large files, datasets, and machine learning models. It allows the use of a standard Git workflow, but without the need to store those files in the repository. Large files, directories and ML models are replaced with small metafiles, which in turn point to