A system for Python that generates static type annotations by collecting runtime types

Overview

MonkeyType

MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or even add draft type annotations directly to your Python code based on the types collected at runtime.

Example

Say some/module.py originally contains:

def add(a, b):
    return a + b

And myscript.py contains:

from some.module import add

add(1, 2)

Now we want to infer the type annotation of add in some/module.py by running myscript.py with MonkeyType. One way is to run:

$ monkeytype run myscript.py

By default, this will dump call traces into a SQLite database in the file monkeytype.sqlite3 in the current working directory. You can then use the monkeytype command to generate a stub file for a module, or apply the type annotations directly to your code.

Running monkeytype stub some.module will output a stub:

def add(a: int, b: int) -> int: ...

Running monkeytype apply some.module will modify some/module.py to:

def add(a: int, b: int) -> int:
    return a + b

This example demonstrates both the value and the limitations of MonkeyType. With MonkeyType, it's very easy to add annotations that reflect the concrete types you use at runtime, but those annotations may not always match the full intended capability of the functions. For instance, add is capable of handling many more types than just integers. Similarly, MonkeyType may generate a concrete List annotation where an abstract Sequence or Iterable would be more appropriate. MonkeyType's annotations are an informative first draft, to be checked and corrected by a developer.

Motivation

Readability and static analysis are the primary motivations for adding type annotations to code. It's already common in many Python style guides to document the argument and return types for a function in its docstring; annotations are a standardized way to provide this documentation, which also permits static analysis by a typechecker such as mypy.

For more on the motivation and design of Python type annotations, see PEP 483 and PEP 484.

Requirements

MonkeyType requires Python 3.6+ and the libcst library (for applying type stubs to code files). It generates only Python 3 type annotations (no type comments).

Installing

Install MonkeyType with pip:

pip install MonkeyType

How MonkeyType works

MonkeyType uses the sys.setprofile hook provided by Python to interpose on function calls, function returns, and generator yields, and record the types of arguments / return values / yield values.

It generates stub files based on that data, and can use libcst to apply those stub files directly to your code.

See the full documentation for details.

Troubleshooting

Check if your issue is mentioned in the frequently asked questions list.

Development

See CONTRIBUTING.rst for information on developing and contributing to MonkeyType.

LICENSE

MonkeyType is BSD licensed.

Owner
Instagram
Instagram
Python package to parse and generate C/C++ code as context aware preprocessor.

Devana Devana is a python tool that make it easy to parsing, format, transform and generate C++ (or C) code. This tool uses libclang to parse the code

5 Dec 28, 2022
A system for Python that generates static type annotations by collecting runtime types

MonkeyType MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or even add draft type

Instagram 4.1k Jan 02, 2023
A very minimalistic python module that lets you track the time your code snippets take to run.

Clock Keeper A very minimalistic python module that lets you track the time your code snippets take to run. This package is available on PyPI! Run the

Rajdeep Biswas 1 Jan 19, 2022
The uncompromising Python code formatter

The Uncompromising Code Formatter “Any color you like.” Black is the uncompromising Python code formatter. By using it, you agree to cede control over

Python Software Foundation 30.7k Dec 28, 2022
Code audit tool for python.

Pylama Code audit tool for Python and JavaScript. Pylama wraps these tools: pycodestyle (formerly pep8) © 2012-2013, Florent Xicluna; pydocstyle (form

Kirill Klenov 966 Dec 29, 2022
Find dead Python code

Vulture - Find dead code Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you r

Jendrik Seipp 2.4k Jan 03, 2023
🦔 PostHog is developer-friendly, open-source product analytics.

PostHog provides open-source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. With just 1 click you ca

PostHog 10.3k Jan 01, 2023
Find usage statistics (imports, function calls, attribute access) for Python code-bases

Python Library stats This is a small library that allows you to query some useful statistics for Python code-bases. We currently report library import

Francisco Massa 13 May 02, 2022
Alarmer is a tool focus on error reporting for your application.

alarmer Alarmer is a tool focus on error reporting for your application. Installation pip install alarmer Usage It's simple to integrate alarmer in yo

long2ice 20 Jul 03, 2022
fixup: Automatically add and remove python import statements

fixup: Automatically add and remove python import statements The goal is that running fixup my_file.py will automatically add or remove import stateme

2 May 08, 2022
A simple stopwatch for measuring code performance with static typing.

A simple stopwatch for measuring code performance. This is a fork from python-stopwatch, which adds static typing and a few other things.

Rafael 2 Feb 18, 2022
Collects all accepted (partial and full scored) codes submitted within the given timeframe and saves them locally for plagiarism check.

Collects all accepted (partial and full scored) codes submitted within the given timeframe of any contest.

ARITRA BELEL 2 Dec 28, 2021
Calculator Python Package

Calculator Python Package This is a Calculator Package of Python. How To Install The Package? Install packagearinjoyn with pip (Package Installer Of P

Arinjoy_Programmer 1 Nov 21, 2021
Typing-toolbox for Python 3 _and_ 2.7 w.r.t. PEP 484.

Welcome to the pytypes project pytypes is a typing toolbox w.r.t. PEP 484 (PEP 526 on the road map, later also 544 if it gets accepted). Its main feat

Stefan Richthofer 188 Dec 29, 2022
An app to show the total number of lines of code written by an user.

Lines of code Have you ever wondered how many lines of code you wrote in github? This tool will calculate it for you! To calculate the total number of

B.Jothin kumar 10 Jan 26, 2022
The strictest and most opinionated python linter ever!

wemake-python-styleguide Welcome to the strictest and most opinionated python linter ever. wemake-python-styleguide is actually a flake8 plugin with s

wemake.services 2.1k Jan 05, 2023
C/C++ Dependency Analyzer: a rewrite of John Lakos' dep_utils (adep/cdep/ldep) from

Version bêta d'un système pour suivre les prix des livres chez Books to Scrape, un revendeur de livres en ligne. En pratique, dans cette version bêta, le programme n'effectuera pas une véritable surv

Olzhas Rakhimov 125 Sep 21, 2022
Checkov is a static code analysis tool for infrastructure-as-code.

Checkov - Prevent cloud misconfigurations during build-time for Terraform, Cloudformation, Kubernetes, Serverless framework and other infrastructure-as-code-languages with Checkov by Bridgecrew.

Bridgecrew 5.1k Jan 03, 2023
Pymwp is a tool for automatically performing static analysis on programs written in C

pymwp: MWP analysis in Python pymwp is a tool for automatically performing static analysis on programs written in C, inspired by "A Flow Calculus of m

Static Analyses of Program Flows: Types and Certificate for Complexity 2 Dec 02, 2022
Turn your Python and Javascript code into DOT flowcharts

Notes from 2017 This is an older project which I am no longer working on. It was built before ES6 existed and before Python 3 had much usage. While it

Scott Rogowski 3k Jan 09, 2023