Requests VS Mocket

Compare Requests vs Mocket and see what are their differences.

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Requests Mocket
1 0
4 224
- -
7.8 6.9
3 months ago 8 days ago
Python Python
GNU General Public License v3.0 only BSD 3-clause "New" or "Revised" License
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.

Requests

Posts with mentions or reviews of Requests. We have used some of these posts to build our list of alternatives and similar projects.

Mocket

Posts with mentions or reviews of Mocket. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Mocket yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Requests and Mocket you can also consider the following projects:

httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module

Moto - A library that allows you to easily mock out tests based on AWS infrastructure.

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

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

doublex

httmock - A mocking library for requests

mock - The Python mock library

betamax - A VCR imitation designed only for python-requests.

Mock Generator - A tool to auto generate the basic mocks and asserts for faster unit testing

time-machine - Travel through time in your tests.

pymox - Pymox - open source mock object framework for Python

freezegun - Let your Python tests travel through time