nsfwjs VS nsfw_model

Compare nsfwjs vs nsfw_model and see what are their differences.

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nsfwjs nsfw_model
9 5
7,641 1,611
1.0% -
8.0 0.0
4 days ago 2 months ago
TypeScript Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nsfwjs

Posts with mentions or reviews of nsfwjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-24.

nsfw_model

Posts with mentions or reviews of nsfw_model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-03.

What are some alternatives?

When comparing nsfwjs and nsfw_model you can also consider the following projects:

skale - High performance distributed data processing engine

NudeNet - Neural Nets for Nudity Detection and Censoring

jsPDF - Client-side JavaScript PDF generation for everyone.

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

peercast - torrent-stream + chromecast

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Brain.js - 🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

NSFW-FLASK - Flask app for detecting NSFW images

ipfs - IPFS implementation in JavaScript

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

Cytoscape.js - Graph theory (network) library for visualisation and analysis

Finance-Using-Python - This product helps to understand the stocks in visual manner and as well as it saves the record. And help to predict the data