nsfwjs and nsfw
These are competitors offering different architectural approaches to the same problem: one uses client-side TensorFlow.js inference while the other provides a server-side HTTP API for NSFW detection.
About nsfwjs
infinitered/nsfwjs
NSFW detection on the client-side via TensorFlow.js
This tool helps website administrators, content moderators, and online platform managers automatically check images for inappropriate content directly within a user's web browser. It takes an image as input and classifies it into categories like 'Porn', 'Hentai', 'Sexy', 'Drawing', or 'Neutral', providing a judgment on its suitability. This allows for real-time content filtering without sending user data to a server.
About nsfw
ebroky/nsfw
🔍 Detect NSFW content with this lightweight HTTP API. Ideal for CPU machines, it identifies sensitive images quickly and efficiently.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work