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wtf is mini-pysonar?

yupbank/mini-pysonar — explained in plain English

Analysis updated 2026-07-18 · repo last pushed 2013-06-23

PythonAudience · researcherComplexity · 3/5DormantSetup · moderate

TL;DR

A prototype static analyzer that reads Python code without running it, tracking variables and function calls to teach how static analysis works.

Mindmap

mindmap
  root((repo))
    What it does
      Analyzes Python statically
      Tracks variables
      Maps function calls
    Tech stack
      Python
    Use cases
      Learn static analysis
      Build a linter foundation
      Study code analysis theory
    Audience
      Students
      Researchers
      Tool builders

Code map

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filefunction / class

Why would anyone build with this?

REASON 1

Study how a static analyzer for a dynamic language like Python can be built from scratch.

REASON 2

Use as a reference implementation to build your own linter, IDE autocomplete, or code search tool.

REASON 3

Learn how variable assignments and function call relationships can be tracked without executing code.

What's in the stack?

Python

How it stacks up

yupbank/mini-pysonar0xallam/my-recipe0xhassaan/nn-from-scratch
Stars0
LanguagePythonPythonPython
Last pushed2013-06-232022-11-22
MaintenanceDormantDormant
Setup difficultymoderatemoderatemoderate
Complexity3/52/54/5
Audienceresearchergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · moderate Time to first run · 1h+

It's a proof-of-concept, not production-ready, the author has stopped actively developing it.

Wtf does this do

This is a prototype static analyzer for Python code, a tool that reads Python files and understands what they do without actually running them. Think of it like a spell-checker for code, but instead of looking for typos, it tracks what variables hold, which functions call which other functions, and how data flows through a program. The main benefit is that developers can use this kind of analyzer to find bugs, understand code structure, or provide better autocomplete suggestions in code editors. The analyzer works by parsing Python code and building a map of how it all connects. When it sees a variable assignment, it remembers that. When it sees a function definition or a call to that function, it tracks those relationships too. At a high level, it's like following a thread through your code to understand which pieces depend on which other pieces. The current version handles the basics: variables, assignments, functions, and function calls. It's intentionally kept simple compared to the original version built at Google, which could handle more complex Python features like classes and modules. This project is really a teaching tool and reference implementation. The author created it to show how you might build a static analyzer for a dynamic language like Python, where the type of a variable can change at runtime. Researchers, students, or developers interested in building their own code analysis tools could study how this works and adapt the approach for their own projects. It's not meant to be a production-ready tool you'd use on real codebases, it's more of a proof-of-concept to demonstrate the core ideas. The README is honest about the project's limitations: the author notes they lack motivation to develop it further and put it online hoping it would help others learning the field. If you're building a Python IDE, linter, or code search tool, or if you're curious how static analysis actually works under the hood, this codebase provides a clean, simplified foundation to understand the fundamentals.

Yoink these prompts

Prompt 1
Walk me through how mini-pysonar tracks variable assignments and function calls in Python code.
Prompt 2
Explain the difference between mini-pysonar and the original Google pysonar it's based on.
Prompt 3
Help me extend mini-pysonar to also handle Python classes and modules.
Prompt 4
Show me how a simplified static analyzer like this could power autocomplete in a code editor.

Frequently asked questions

wtf is mini-pysonar?

A prototype static analyzer that reads Python code without running it, tracking variables and function calls to teach how static analysis works.

What language is mini-pysonar written in?

Mainly Python. The stack also includes Python.

Is mini-pysonar actively maintained?

Dormant — no commits in 2+ years (last push 2013-06-23).

How hard is mini-pysonar to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is mini-pysonar for?

Mainly researcher.

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