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Top 13 Python Code Analysis and Linter Projects
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To expand on this, you could be maintaining a list of Cats, call a function which accepts a list of Animals, and that function could append a Dog without causing a type error.
https://github.com/python/mypy/issues/4976 is an interesting discussion on this in Python: should a TypedDict be allowed where a dict argument is accepted? The basic consensus is no, because then one could modify the dict, adding keys that wouldn't be allowed in the specific TypedDict.
But this means that often you have to do cast(dict, my_typed_dict) to be able to interop with third party libraries that (quite naturally) believed that by typing their arguments as accepting a dict, they'd be accepting all dict-like things.
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scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
This has been a feature of the Scalene Python profiler (https://github.com/plasma-umass/scalene) for some time (at this point, about 1.5 years) - bring your own API key for OpenAI / Azure / Bedrock, also works with Ollama. Optimizing Python code to use NumPy or other similar native libraries can easily yield multiple order of magnitude improvements in real-world settings. We tried it on several of the success stories of Scalene (before the integration with LLMs); see https://github.com/plasma-umass/scalene/issues/58 - and found that it often automatically yielded the same or better optimizations - see https://github.com/plasma-umass/scalene/issues/554. (Full disclosure: I am one of the principal designers of Scalene.)
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MonkeyType
A Python library that generates static type annotations by collecting runtime types (by Instagram)
i can't, unfortunately, it was youtube internal code. but by the same token a lot of the performance stuff was specific optimisations for that code and would not really generalise.
one of the current "extremely large python codebase" projects is instagram, and they do have some public repos, notably monkeytype (https://github.com/Instagram/MonkeyType) which youtube did have its own analogue of, and cinder (https://engineering.fb.com/2022/05/02/open-source/cinder-jit...). in general facebook's engineering blog is a great place to read about this sort of thing.
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Code2flow generates call graphs for dynamic programming language. Code2flow supports Python, JavaScript, Ruby, and PHP.
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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.
Flake8: This tool checks for style errors and simple programming mistakes.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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coala
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
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prospector
Inspects Python source files and provides information about type and location of classes, methods etc
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unimport
:rocket: The ultimate linter and formatter for removing unused import statements in your code. (by hakancelikdev)
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - Judoscale
judoscale.com | 17 Apr 2025
Index
What are some of the best open-source Code Analysis and Linter projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | mypy | 19,191 |
| 2 | scalene | 12,583 |
| 3 | Pylint | 5,449 |
| 4 | MonkeyType | 4,875 |
| 5 | code2flow | 4,228 |
| 6 | vprof | 3,963 |
| 7 | Flake8 | 3,583 |
| 8 | coala | 3,558 |
| 9 | prospector | 1,993 |
| 10 | pydeps | 1,914 |
| 11 | pylama | 1,051 |
| 12 | PythonBuddy | 282 |
| 13 | unimport | 244 |
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