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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Docker Registry
  5. Git vs Quay.io

Git vs Quay.io

OverviewComparisonAlternatives

Overview

Quay.io
Quay.io
Stacks64
Followers86
Votes7
Git
Git
Stacks343.7K
Followers184.2K
Votes6.6K
GitHub Stars57.1K
Forks26.9K

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Detailed Comparison

Quay.io
Quay.io
Git
Git

Simply upload your Dockerfile (and any additional files it needs) and we'll build your Dockerfile into an image and push it to your repository.

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.

Secure - Your data is transferred using SSL at all times and encrypted when at rest. More information available in our security guide;Shareable - Have to share a repository? No problem! Share with anyone you choose;Cloud Hosted - Accessible from anywhere, anytime
-
Statistics
GitHub Stars
-
GitHub Stars
57.1K
GitHub Forks
-
GitHub Forks
26.9K
Stacks
64
Stacks
343.7K
Followers
86
Followers
184.2K
Votes
7
Votes
6.6K
Pros & Cons
Pros
  • 6
    Great UI
  • 1
    API
  • 0
    Docker cloud repositories are public by default. Bad
Pros
  • 1429
    Distributed version control system
  • 1053
    Efficient branching and merging
  • 959
    Fast
  • 843
    Open source
  • 726
    Better than svn
Cons
  • 16
    Hard to learn
  • 11
    Inconsistent command line interface
  • 9
    Easy to lose uncommitted work
  • 8
    Worst documentation ever possibly made
  • 5
    Awful merge handling
Integrations
Docker
Docker
No integrations available

What are some alternatives to Quay.io, Git?

Mercurial

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.

SVN (Subversion)

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.

Plastic SCM

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.

Pijul

Pijul

Pijul is a free and open source (AGPL 3) distributed version control system. Its distinctive feature is to be based on a sound theory of patches, which makes it easy to learn and use, and really distributed.

Harbor

Harbor

Harbor is an open source cloud native registry that stores, signs, and scans container images for vulnerabilities. Harbor solves common challenges by delivering trust, compliance, performance, and interoperability. It fills a gap for organ

Amazon ECR

Amazon ECR

It is a fully managed container registry that makes it easy to store, manage, share, and deploy your container images and artifacts anywhere. It eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure.

Kraken by Uber

Kraken by Uber

A P2P-powered Docker registry that focuses on scalability and availability. It is designed for Docker image management, replication and distribution in a hybrid cloud environment.

DVC

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.

Magit

Magit

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.

Replicate

Replicate

It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.

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