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AWS CodeCommit VS Managed MLflow

Compare AWS CodeCommit VS Managed MLflow and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

AWS CodeCommit logo AWS CodeCommit

AWS CodeCommit is a fully-managed source control service that makes it easy for companies to host secure private Git repositories.

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
  • AWS CodeCommit Landing page
    Landing page //
    2023-04-22
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

AWS CodeCommit videos

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AWS Codecommit Hands On

More videos:

  • Review - Introduction to AWS CodeCommit
  • Review - Introduction to AWS CodeCommit: Setting Up Permissions

Managed MLflow videos

No Managed MLflow videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to AWS CodeCommit and Managed MLflow)

AWS CodeCommit

Managed MLflow

Git
100 100%
Git
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

Share your experience with using AWS CodeCommit and Managed MLflow. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, AWS CodeCommit seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS CodeCommit mentions (22)

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Managed MLflow mentions (0)

We have not tracked any mentions of Managed MLflow yet. Tracking of Managed MLflow recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS CodeCommit and Managed MLflow, you can also consider the following products

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.

Weights & Biases - Developer tools for deep learning research

Mercurial SCM - Mercurial is a free, distributed source control management tool.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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