GitHub vs Bitbucket: What should you choose to Develop ML Projects?

GitHub vs Bitbucket: What should you choose to Develop ML Projects?
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Which open source will be best for your ML project: Github vs Bitbucket?

GitHub vs BitBucket comparison can be solved in the way each platform handles your code. BitBucket focuses on private code, and GitHub focuses on public code. GitHub has a large, open-source community with many individual and small-scale projects. BitBucket, on the other hand, packs more benefits for enterprise and business users.

This doesn't mean that you can't post privately on GitHub or vice versa. Both platforms give the best outputs when used as intended. Needless to say, these two platforms offer a ton of functionalities like two-factor authentication, inviting collaborators, open issues, discussions, and merge requests.

The version control repository hosting service, BitBucket, was set up in 2008 by Atlassian. It's written in Python using the Django web framework. The code repository is known for its flexibility.

Some of BitBucket's features include:

  • You can easily import repos from Git, Codeplex, GoogleCode, and SVN.
  • It comes with external authentication support for GitHub, Google, Facebook, and Twitter.
  • It offers direct integration with Jira, Bamboo, Crucible, and Jenkins.
  • BitBucket comes with Mac, Windows, and Android applications.
  • The platform also offers a secure platform for your code with SOC 2 Type 2 certification.

GitHub is the most popular development platform with a community of more than 40 million users. The platform features a whopping 100 million repositories and is deemed to be the hub for Git Version Control. This open-source code repository was started in 2004 and got acquired by Microsoft in 2018.

Some of GitHub's noteworthy features include:

  • GitHub pages and GitHub Gist.
  • It supports Git and SVN to an extent.
  • GitHub offers direct integration with Zendesk, Azure, Cloudbees, Google Cloud, Amazon, Code Climate, and Heroku.
  • It supports more than 200 programming languages.

Both platforms are dissimilar when it comes to handling extensions and third-party integrations. The user interface is relatively distinct, and both repositories offer different default settings. BitBucket and GitHub are great tools to collaborate with other members of the development team. They help share knowledge with other members of the community. Tools like wikis are integrated right into these platforms to help users collaborate seamlessly and share ideas.

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