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PyChecker VS mypy

Compare PyChecker VS mypy and see what are their differences

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Contents:
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PyChecker logo PyChecker

Python source code checking tool.

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.
  • PyChecker Landing page
    Landing page //
    2019-09-07
  • mypy Landing page
    Landing page //
    2020-01-06

PyChecker features and specs

No features have been listed yet.

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.

PyChecker videos

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mypy videos

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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 PyChecker and mypy)

PyChecker

mypy

Code Coverage
25 25%
Code Coverage
75% 75
Code Analysis
27 27%
Code Analysis
73% 73
Code Quality
41 41%
Code Quality
59% 59
Developer Tools
28 28%
Developer Tools
72% 72

User comments

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Reviews

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

PyChecker Reviews

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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.

PyChecker mentions (0)

We have not tracked any mentions of PyChecker yet. Tracking of PyChecker 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 / about 1 year 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
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What are some alternatives?

When comparing PyChecker and mypy, you can also consider the following products

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

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

Pyright - Static type checker for Python. Contribute to microsoft/pyright development by creating an account on GitHub.

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.

PEP8 - pep8 is a tool to check your Python code against some of the style conventions in PEP 8.

PyFlakes - A simple program which checks Python source files for errors.

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