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mukh

ishandutta0098/mukh

A comprehensive face analysis library that provides unified APIs for various face-related tasks

GitHub Website

GraphCanon updated 3w · GitHub synced 3w · 26 views this month

376 stars95 forksLast push 1y Python Apache-2.0

Decision brief

mukh is a Python library specializing in face analysis tasks such as deepfake detection and reenactment.

Good fit when

Use mukh when you need specific functionalities for deepfake detection and face reenactment, as these are key features it supports.
If your project involves comprehensive facial landmark processing within the Python environment, mukh provides specialized APIs that other generic libraries might not.

Avoid when

Avoid using mukh if your application does not specifically require deepfake detection or reenactment functionalities as these could introduce unnecessary complexity and dependencies.
Do not use mukh if you are looking for a broad computer vision library. It focuses narrowly on face-related tasks and might be limiting outside this domain.

Observed Jul 17, 2026 · Source: enrich:decision_facts

mukh alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (397d since push); As of 3w
Provenance: Not a fork · Personal account; As of 3w
Security (OSV): 29 low (29 low); As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install mukh

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Face-analysis Python library offering APIs for deepfake detection, reenactment, and facial landmarks processing.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Aug 1, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 1, 2026)

conda create -n mukh-dev python=3.10 -y

Source link

README

Installation

conda create -n mukh-dev python=3.10 -y
conda activate mukh-dev
pip install mukh==0.1.14

For agents

This page has a .md twin and JSON over the API.

/tools/ishandutta0098-mukh.md GET /api/graphcanon/tools/ishandutta0098-mukh GET /api/graphcanon/graph?tool=ishandutta0098-mukh