MonkeyType
ruff
MonkeyType | ruff | |
---|---|---|
9 | 96 | |
4,540 | 26,725 | |
0.6% | 4.7% | |
5.4 | 10.0 | |
18 days ago | 5 days ago | |
Python | Rust | |
GNU General Public License v3.0 or later | MIT License |
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.
MonkeyType
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Enhance Your Project Quality with These Top Python Libraries
MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or add type annotations directly to your Python code based on the types collected at runtime.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
To alleviate the burden of manual annotation, MonkeyType offers a clever solution. It dynamically observes the types entering and leaving functions during code execution. Based on this observation, it generates a preliminary draft of type annotations. This significantly reduces the effort needed to add type hints to legacy code.
- Do you know any library that automatically detects unused files / functions inside a project folder?
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Programming Breakthroughs We Need
https://github.com/instagram/MonkeyType can perform the call logging, and can export a static typing file which is used by mypy, but also e.g. PyCharm. It doesn't expose such fine grained types, but you could build that based on the logged data.
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Gradually introduce type checking to an existing typed codebase.
Which introduces MonkeyType, a python library that generatics static type annotations by collecting runtime types.
- Call me naive, but would it not be possible to create a tool for python the auto adds type hints at run time?
- Is there any language that is as similar as possible to Python in syntax, readability, and features, but is statically typed?
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Typehole – Create TypeScript interfaces from JS runtime values automatically
Not sure if you're joking but there is something similar for python developed by a rather well known company https://github.com/Instagram/MonkeyType
- Cinder: Instagram's performance oriented fork of CPython
ruff
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Introducing Tapyr: Create and Deploy Enterprise-Ready PyShiny Dashboards with Ease
Leverage Python Tools: Tapyr takes advantage of Python’s ecosystem tools, including ruff, pytest, and others.
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Ask HN: High quality Python scripts or small libraries to learn from
I think I mention this all the time when this comes up, but I learned the most 'best practices' through using ruff.
https://docs.astral.sh/ruff/
I just installed and enabled all the rules by setting
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Enhance Your Project Quality with These Top Python Libraries
Ruff is a Python linter that helps to identify and remove code smells. Over 700 built-in rules: Ruff includes native re-implementations of popular Flake8 plugins, like flake8-bugbear. And also built-in caching to avoid re-analyzing unchanged files.
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Ask HN: What interesting project ideas you've got but have no time to work on?
Because the Python's "ast" modules is too slow, and lacks proper "format" feature (it has unparse but it removes comments, and forgets the current style completely). I use "ruff" a lot (https://github.com/astral-sh/ruff) which is in Rust. But I want to be able to implement fast custom linters in Go (linters that ruff / fixit lack, and Python linters lack or are too slow).
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Rye: A Vision Continued
I think it’s interesting that rye uses ruff (https://github.com/astral-sh/ruff) for linting and formatting. That’s the right call, and it’s also correct to bundle that in for an integrated dev experience.
I had to guess, that’s the path that the Astral team would take as well - expand ruff’s capabilities so it can do everything a Python developer needs. So the vision that Armin is describing here might be achieved by ruff eventually. They’d have an advantage that they’re not a single person maintenance team, but the disadvantage of needing to show a return to their investors.
- An fast Python linter and code formatter, written in Rust
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Smooth Packaging: Flowing from Source to PyPi with GitLab Pipelines
Adding more weight to ease of setup and configurability, the choice came down on flake8. It is easy to integrate, since its also available through pip and let’s you configure which standards you want to omit by simply stating them as a list via the --ignore switch. Moving to ruff appears quite smooth, so future updates may do so.
- Show HN: Marimo – an open-source reactive notebook for Python
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AST-grep(sg) is a CLI tool for code structural search, lint, and rewriting
I confess I stole the pip recipe from Charlie :D
https://github.com/astral-sh/ruff/blob/main/.github/workflow...
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Embracing Modern Python for Web Development
Ruff is an emerging tool in the Python ecosystem that describes itself as "an extremely fast Python linter and code formatter, written in Rust".
What are some alternatives?
PythonBuddy - 1st Online Python Editor With Live Syntax Checking and Execution
black - The uncompromising Python code formatter
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code.
mypy - Optional static typing for Python
Cinder - Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.
pyright - Static Type Checker for Python
typehole - TypeScript development tool for Visual Studio Code that helps you automate creating the initial static typing for runtime values
Pylint - It's not just a linter that annoys you!
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
plum - Multiple dispatch in Python
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.