fauxpy

KO | EN

gitlite — search

#python #ai #llm #golang #deep-learning #docker #macos #java #awesome #awesome-list #security #ios #mcp #open-source

(★ 34)

An automated fault localization tool for Python programs.

fauxpy Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# FauxPy

[![PyPI version](https://badge.fury.io/py/fauxpy.svg)](https://badge.fury.io/py/fauxpy)
[![Downloads](https://static.pepy.tech/badge/fauxpy)](https://pepy.tech/project/fauxpy)
[![Documentation Status](https://readthedocs.org/projects/fauxpy/badge/?version=stable)](https://fauxpy.readthedocs.io/en/stable/?badge=stable)
![Research](https://img.shields.io/badge/Research-Driven-lightgrey)
![Open Source](https://img.shields.io/badge/Open%20Source-Yes-brightgreen)
[![GitHub](https://img.shields.io/github/license/atom-sw/fauxpy)](https://raw.githubusercontent.com/atom-sw/fauxpy/main/LICENSE)
[![Tests](https://github.com/mohrez86/fauxpy/actions/workflows/test-all.yml/badge.svg)](https://github.com/mohrez86/fauxpy/actions/workflows/test-all.yml)

## What is FauxPy?

FauxPy (pronounced: *foh pie*) is an **automated fault localization tool** for Python programs.  
It helps developers **locate the root cause of software bugs** using advanced **dynamic analysis techniques**.

> 🚀 **New in FauxPy: LLM-Driven MBFL**  
FauxPy now supports **LLM-Driven Mutation-Based Fault 
Localization**!  
This functionality is the result of 
integrating [PyLLMut](https://pyllmut.readthedocs.io)
into FauxPy.

💡 *Help improve FauxPy! Share your feedback in our [Discussions](https://github.com/mohrez86/fauxpy/discussions).*

### Features

FauxPy supports **seven classic fault localization techniques** in four families:

1. **SBFL** (spectrum-based) techniques Tarantula, Ochiai, DStar, and Jaccard.
2. **MBFL** (mutation-based) techniques Metallaxis and Muse.
3. **PS** (predicate switching) fault localization.
4. **ST** (stack-trace) fault localization.

It supports fault localization at the
level of **statements** 
(statement-level granularity) and at
the level of **functions** 
(function-level granularity).

FauxPy is based on **dynamic analysis**, and works seamlessly with tests written in:

- [Pytest](https://pytest.org)  
- [Unittest](https://docs.python.org/3/library/unittest.html)  
- [Hypothesis](https://hypothesis.works/)

FauxPy can also leverage large language models (LLMs) to 
improve fault localization effectiveness.

## Documentation

Full documentation is available at
[FauxPy documentation](https://fauxpy.readthedocs.io/).

## Installation

To install FauxPy, follow the instructions in the 
[Installation Guide](https://fauxpy.readthedocs.io/en/stable/user/install).

## Usage

For quick examples of how to use FauxPy, refer to the 
[Quick Start Guide](https://fauxpy.readthedocs.io/en/stable/user/start).

## Command-Line Options

For a detailed list of command-line options, refer to the
[Command-Line Options Guide](https://fauxpy.readthedocs.io/en/stable/user/using).

## How to Cite

If you use this tool in your research, please cite it as described in our citation guide:
[How to Cite](https://fauxpy.readthedocs.io/en/stable/user/citation/)

## Mirrors

This repository is a public mirror of 
(part of) FauxPy's private development 
repository. There are two public 
mirrors, whose content 
is identical:

- https://github.com/atom-sw/fauxpy
- https://github.com/mohrez86/fauxpy

fauxpy

fauxpy Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

fauxpy

fauxpy Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README