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pre-commit VS mypy

Compare pre-commit VS mypy and see what are their differences

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pre-commit logo pre-commit

A slightly improved pre-commit hook for git

mypy logo mypy

Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.
  • pre-commit Landing page
    Landing page //
    2019-10-22
  • mypy Landing page
    Landing page //
    2020-01-06

pre-commit features and specs

  • Automated Code Quality
    Pre-commit ensures consistent code quality by running checks automatically before changes are committed.
  • Customizable Hooks
    Users can define and configure a wide range of hooks, allowing tailored checks for various programming languages and code standards.
  • Prevents Bad Commits
    By enforcing checks upfront, pre-commit helps to prevent code that does not meet the project's quality standards from being committed to the repository.
  • Integrations
    Easily integrates with popular tools and platforms, enhancing its utility in diverse development environments.
  • Open Source
    Being open-source, it allows the community to contribute to its development and extend its functionality.

Possible disadvantages of pre-commit

  • Initial Setup Complexity
    Setting up pre-commit hooks can require significant configuration, which might be daunting for beginners.
  • Performance Overhead
    Running multiple hooks before each commit can introduce a noticeable delay, impacting developer productivity.
  • Learning Curve
    Users may need time to understand how to effectively configure and manage hooks, particularly in complex projects.
  • Hook Compatibility
    Some hooks might not be compatible with certain project setups, requiring workarounds or modifications.
  • Dependency Management
    Managing dependencies for various hooks can become cumbersome, particularly in larger projects with diverse technology stacks.

mypy features and specs

  • Static Type Checking
    Mypy provides static type checking for Python code, allowing developers to detect type errors during development rather than at runtime.
  • Improved Code Quality
    By catching type errors early, Mypy helps ensure code correctness and maintainability, leading to improved overall code quality.
  • Better Documentation
    Mypy's type annotations serve as a form of documentation, making it easier for developers to understand the expected types of function parameters and return values.
  • Easy Integration
    Mypy can be easily integrated with existing Python projects incrementally, allowing teams to adopt type checking gradually.
  • Support for Python 3 Typing
    Mypy supports Python 3's type hinting syntax, making it a natural fit for modern Python codebases.

Possible disadvantages of mypy

  • Partial Support for Python Features
    Mypy may not fully support some dynamic features of Python, leading to limitations in its type-checking capabilities for certain code patterns.
  • Initial Learning Curve
    Developers unfamiliar with type annotations or static type checking may face a learning curve when first adopting Mypy in their projects.
  • Additional Code Overhead
    Mypy requires additional type annotations in the code, which can add to the overall codebase size and require extra effort to maintain.
  • Performance Overhead
    While Mypy itself does not affect runtime performance, running type checks during development can introduce additional processing time.
  • Incompatibility with Some Libraries
    Certain third-party libraries may not provide type stubs or may not be fully compatible with Mypy's type checking, requiring developers to create custom stubs.

pre-commit videos

+ Add

Prettier using Pre-Commit Hooks

More videos:

  • Review - Pre-commit hook for faster development
  • Review - 036 Prevent Repo Bloat with Pre-Commit Git Hook

mypy videos

+ Add

Convincing an entire engineering org to use and like mypy

More videos:

  • Review - Start Being Static with MyPy - Mark Koh - PyGotham 2017

Category Popularity

0-100% (relative to pre-commit and mypy)

pre-commit

mypy

Git
100 100%
Git
0% 0
Code Coverage
0 0%
Code Coverage
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Code Analysis
0 0%
Code Analysis
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare pre-commit and mypy

pre-commit Reviews

We have no reviews of pre-commit yet.
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mypy Reviews

7 best recommended IntelliJ IDEA Python plugins - Programmer Sought
This plugin from the JetBrains plugin market integrates MyPy into your Intellij. If you need some guidance, the MyPy website provides a lot of documentation to help you install and use MyPy to improve your Python code.
Source: www.programmersought.com

Social recommendations and mentions

Based on our record, mypy seems to be more popular. It has been mentiond 50 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.

pre-commit mentions (0)

We have not tracked any mentions of pre-commit yet. Tracking of pre-commit recommendations started around Mar 2021.

mypy mentions (50)

  • Java in the Small
    I've always admired many of Java's features, but let's not act like the reason for using Java for scripting is the pitfalls of Python. It's just because of an underlying preference for Java. 1. https://mypy-lang.org/. - Source: Hacker News / 5 months ago
  • Moving your bugs forward in time
    ‍I’m not here to tell people which languages they should love. But if you do find yourself writing production code in a dynamically typed language like Python, Ruby, or JavaScript, I would give serious consideration to opting into the type-checking tools that have become available in those ecosystems. In Python, consider requiring type hints and adding mypy checks to your CI to move your type safety bugs forward... - Source: dev.to / 12 months ago
  • Embracing Modern Python for Web Development
    Mypy is "an optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing". As Python is dynamically typed, Mypy adds an extra layer of safety by checking types at compile time (based on type annotations conforming to PEP 484), catching potential errors before runtime. - Source: dev.to / over 1 year ago
  • A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
    Mypy stands as an essential static type-checking tool. Its primary function is to verify the correctness of types in your codebase. However, manually annotating types in legacy code can be laborious and time-consuming. - Source: dev.to / over 1 year ago
  • Lua: The Little Language That Could
    Lua is a great language for embedding, but one thing I wish it had was some form of optional type annotations that could be checked by a linter. Something like mypy for Lua would be super-useful. Source: almost 2 years ago
View more

What are some alternatives?

When comparing pre-commit and mypy, you can also consider the following products

Git-Repo - Manage Gitlab, GitHub and Bitbucket from the command line

PyLint - Pylint is a Python source code analyzer which looks for programming errors.

Git Flow - Git Flow is a very self-explanatory free software workflow for managing Git branches.

flake8 - A wrapper around Python tools to check the style and quality of Python code.

CodeHub - CodeHub is the most complete, unofficial, client for GitHub on the iOS platform.

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

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