Moto VS fake-s3

Compare Moto vs fake-s3 and see what are their differences.

Moto

A library that allows you to easily mock out tests based on AWS infrastructure. (by getmoto)

fake-s3

A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies (by jubos)
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Moto fake-s3
32 3
7,387 2,940
1.4% -
9.8 0.0
3 days ago about 1 year ago
Python Ruby
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Moto

Posts with mentions or reviews of Moto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-25.

fake-s3

Posts with mentions or reviews of fake-s3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-10.

What are some alternatives?

When comparing Moto and fake-s3 you can also consider the following projects:

LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

aws-sdk-go - AWS SDK for the Go programming language.

userbase - Create secure and private web apps using only static JavaScript, HTML, and CSS.

aws-cdk-local - Thin wrapper script for using the AWS CDK CLI with LocalStack

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing

mlops-zoomcamp - Free MLOps course from DataTalks.Club

responses - A utility for mocking out the Python Requests library.

software-dev-for-mlops-101 - Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.

freezegun - Let your Python tests travel through time

20220726_Databricks_Demo_Transfer_Learning_with_MLflow - We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks