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mukh

ishandutta0098/mukh

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

GraphCanon updated Sep 24, 2026 · GitHub synced Sep 24, 2026

42views this month

378 stars94 forksLast push Jun 29, 2025 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

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (451d since push)
As of Sep 24, 2026
Provenance
Not a fork · Personal account
As of Sep 24, 2026
Security (OSV)
29 low (29 low)
As of Jul 11, 2026

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

Install

pip install mukh
PyPI

Similar tools

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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 · Sep 24, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 24, 2026)

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

Tags

README

Installation

For agents

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

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