faceswap

Deepfakes Software For All

55.0k
Stars
+271
Gained
0.5%
Growth
Python
Language

💡 Why It Matters

Faceswap addresses the growing need for deepfake technology in various applications, enabling engineers to create realistic face-swapping content. This tool is particularly beneficial for ML/AI teams focused on computer vision and generative models, providing a robust framework for experimentation and development. With a stable growth of 271 stars over 96 days, it indicates a healthy community interest, suggesting that it is a production-ready solution for teams looking to implement deepfake technology. However, it may not be the right choice for projects requiring strict ethical guidelines or where deepfake technology is deemed inappropriate.

🎯 When to Use

Faceswap is a strong choice when teams need a reliable open source tool for engineering projects involving deep learning and face manipulation. Teams should consider alternatives if they require more advanced features or stricter compliance with ethical standards.

👥 Team Fit & Use Cases

This tool is primarily used by ML engineers and data scientists who specialise in artificial intelligence and computer vision. It typically fits into products and systems that involve media manipulation, virtual reality applications, or creative content generation.

🎭 Best For

🏷️ Topics & Ecosystem

deep-face-swap deep-learning deep-neural-networks deepface deepfakes deeplearning face-swap faceswap fakeapp machine-learning myfakeapp neural-nets neural-networks openfaceswap

📊 Activity

Latest commit: 2026-01-05. Over the past 97 days, this repository gained 271 stars (+0.5% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.