awesome-pytest VS cookiecutter-hypermodern-python

Compare awesome-pytest vs cookiecutter-hypermodern-python and see what are their differences.

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awesome-pytest cookiecutter-hypermodern-python
1 9
459 1,727
- -
5.7 3.0
4 months ago 1 day ago
Python
- MIT 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.

awesome-pytest

Posts with mentions or reviews of awesome-pytest. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-12.

cookiecutter-hypermodern-python

Posts with mentions or reviews of cookiecutter-hypermodern-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-12.

What are some alternatives?

When comparing awesome-pytest and cookiecutter-hypermodern-python you can also consider the following projects:

Schemathesis - Supercharge your API testing, catch bugs, and ensure compliance

py-healthchecks.io - A python client for healthchecks.io. Supports the management api and ping api

awesome-python-typing - Collection of awesome Python types, stubs, plugins, and tools to work with them.

reorder-python-imports - Rewrites source to reorder python imports

prettier - Prettier is an opinionated code formatter.

Adventura

pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.

mutmut - Mutation testing system

pytype - A static type analyzer for Python code

awesome-python-code-formatters - A curated list of awesome Python code formatters

autoflake - Removes unused imports and unused variables as reported by pyflakes [Moved to: https://github.com/PyCQA/autoflake]