Software Alternatives, Accelerators & Startups

AWS CodeCommit VS Comet.ml

Compare AWS CodeCommit VS Comet.ml and see what are their differences

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.

Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
  • AWS CodeCommit Landing page
    Landing page //
    2023-04-22
  • Comet.ml Landing page
    Landing page //
    2023-09-16

AWS CodeCommit videos

AWS Codecommit Hands On

More videos:

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

Comet.ml videos

Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Category Popularity

0-100% (relative to AWS CodeCommit and Comet.ml)
Git
100 100%
0% 0
Data Science And Machine Learning
Code Collaboration
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using AWS CodeCommit and Comet.ml. 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)

View more

Comet.ml mentions (0)

We have not tracked any mentions of Comet.ml yet. Tracking of Comet.ml recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS CodeCommit and Comet.ml, 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.

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.

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.

Spell - Deep Learning and AI accessible to everyone