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DVC

37
70
+ 1
1
Git

142.9K
117.6K
+ 1
6.6K
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Git vs DVC: What are the differences?

Git: Fast, scalable, distributed revision control system. 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; DVC: Open-source Version Control System for Machine Learning Projects. 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.

Git and DVC can be primarily classified as "Version Control System" tools.

Git and DVC are both open source tools. It seems that Git with 31.2K GitHub stars and 18.1K forks on GitHub has more adoption than DVC with 4.43K GitHub stars and 398 GitHub forks.

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Pros of DVC
Pros of Git
  • 1
    Full reproducibility
  • 1.4K
    Distributed version control system
  • 1.1K
    Efficient branching and merging
  • 964
    Fast
  • 846
    Open source
  • 728
    Better than svn
  • 368
    Great command-line application
  • 306
    Simple
  • 291
    Free
  • 232
    Easy to use
  • 222
    Does not require server
  • 27
    Distributed
  • 22
    Small & Fast
  • 18
    Feature based workflow
  • 15
    Staging Area
  • 13
    Most wide-spread VSC
  • 11
    Role-based codelines
  • 11
    Disposable Experimentation
  • 7
    Frictionless Context Switching
  • 6
    Data Assurance
  • 5
    Efficient
  • 4
    Just awesome
  • 3
    Easy branching and merging
  • 3
    Github integration
  • 2
    Flexible
  • 2
    Possible to lose history and commits
  • 2
    Compatible
  • 1
    Team Integration
  • 1
    Light
  • 1
    Easy
  • 1
    Fast, scalable, distributed revision control system
  • 1
    Rebase supported natively; reflog; access to plumbing
  • 1
    Flexible, easy, Safe, and fast
  • 1
    CLI is great, but the GUI tools are awesome
  • 1
    It's what you do
  • 0
    Phinx

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Cons of DVC
Cons of Git
    Be the first to leave a con
    • 16
      Hard to learn
    • 11
      Inconsistent command line interface
    • 9
      Easy to lose uncommitted work
    • 7
      Worst documentation ever possibly made
    • 5
      Awful merge handling
    • 3
      Unexistent preventive security flows
    • 3
      Rebase hell
    • 2
      When --force is disabled, cannot rebase
    • 2
      Ironically even die-hard supporters screw up badly

    Sign up to add or upvote consMake informed product decisions

    What is DVC?

    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.

    What is Git?

    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.

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    What companies use DVC?
    What companies use Git?
    See which teams inside your own company are using DVC or Git.
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    What tools integrate with DVC?
    What tools integrate with Git?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    Mar 24 2021 at 12:57PM

    Pinterest

    GitJenkinsKafka+7
    3
    1694
    GitJenkinsGroovy+4
    4
    1846
    GitCloudBees+2
    2
    2401
    Git.NETCloudBees+3
    6
    953
    Mar 4 2020 at 5:14PM

    Atlassian

    GitBitbucketWindows+4
    3
    672
    GitNode.jsFirebase+5
    7
    1937
    What are some alternatives to DVC and Git?
    Pachyderm
    Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
    MLflow
    MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
    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.
    Mercurial
    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
    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.
    See all alternatives