Software Alternatives, Accelerators & Startups

Trunk.io Check VS mypy

Compare Trunk.io Check VS mypy and see what are their differences

Trunk.io Check logo Trunk.io Check

Trunk is an all-in-one tool for scalably checking, formatting, and monitoring code.

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.
  • Trunk.io Check Landing page
    Landing page //
    2023-09-01
  • mypy Landing page
    Landing page //
    2020-01-06

Trunk.io Check 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.

Trunk.io Check videos

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mypy videos

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 Trunk.io Check and mypy)
Developer Tools
49 49%
51% 51
Code Coverage
16 16%
84% 84
Code Analysis
0 0%
100% 100
Software Engineering
100 100%
0% 0

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Reviews

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

Trunk.io Check 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.

Social recommendations and mentions

Based on our record, mypy seems to be a lot more popular than Trunk.io Check. While we know about 50 links to mypy, we've tracked only 3 mentions of Trunk.io Check. 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.

Trunk.io Check mentions (3)

  • 82% of Open-Source Projects Suffer from Tool Rot
    Unfortunately, the best solution, according to this blog post, is, surprise, surprise, to subscribe to their product (which also encourages devs to embrace brain-dead practices like empty commit messages and squash-merges, which gives me little faith in their product, but I digress). So I guess those of us who can't or won't cough up a subscription fee are just hosed. Source: over 2 years ago
  • An ex-Googler's guide to dev tools
    I would say any styleguide that is in prose form and not machine enforced is deficient. Modern linting and formatting tools are the best, most efficeiect means for enforcing style. No religious arguments are needed if the tooling decides what is correct. Shameless plug for https://trunk.io/products/check - which will handle universal enforcement of all the tooling for all of the pieces of your tech stack. - Source: Hacker News / almost 3 years ago
  • 5% of 666 Python repos had comma typo bugs (inc V8, TensorFlow and PyTorch)
    I actually recently joined a startup working on this problem! One of our products is a universal linter, which wraps the standard open-source tools available for the different toolchains, simplifies the setup/installation process for all of them, and a bunch of other usability things (suppressing existing issues so that you can introduce new linters with minimal pain, CI integration, and more): you can read more... - Source: Hacker News / over 3 years ago

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
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What are some alternatives?

When comparing Trunk.io Check and mypy, you can also consider the following products

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.

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.

PyChecker - Python source code checking tool.

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.