pomponchik/astrologic
Автоматическая оптимизация кода на уровне AST
This project offers tools to experiment with optimizing Python code at a fundamental level by automatically modifying its structure. It takes existing Python functions and, through behind-the-scenes analysis, outputs potentially more efficient versions. This is aimed at Python developers interested in deeply understanding and experimenting with code execution and optimization techniques.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer curious about how code optimization works at the Abstract Syntax Tree (AST) level and want to experiment with concepts like tail recursion optimization or function inlining.
Not ideal if you need production-ready code optimization, predictable behavior, or clear debugging information, as this tool is purely for demonstrating concepts and can introduce unexpected side effects.
Stars
18
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2025
Commits (30d)
0
Dependencies
1
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