NSFW JS vs Promptfoo

Side-by-side comparison · Updated May 2026

 NSFW JSNSFW JSPromptfooPromptfoo
DescriptionThe NSFWJS model empowers users to perform client-side indecent content checking by providing tools for monitoring and filtering inappropriate material directly on the client-side. Incorporating features such as Camera and Blur Protection enhances detection accuracy. Mechanisms are in place to manage false positives, ensuring legitimate content is not blocked erroneously. The model is efficient for client-side deployment with 93% accuracy and a size of 4.2MB. Additional resources are available through various Github repositories and blog posts.Promptfoo is an open-source tool designed to ensure the security and reliability of LLM (Large Language Models) applications. It offers a comprehensive vulnerability scanner specifically tailored to each LLM product, providing customized probes for detecting PII leaks, unauthorized prompt manipulations, and other critical failures. With capabilities like caching, concurrency, and detailed vulnerability reports, Promptfoo allows developers to build, test, and refine LLM applications efficiently with test-driven development rather than trial-and-error.
CategorySecurity ApplicationSecurityApplication
RatingNo reviewsNo reviews
PricingPricing unavailableFree
Starting PriceN/AFree
Plans
  • FreeFree
Use Cases
  • Parents
  • Schools
  • Workplaces
  • Developers
  • Developers of LLM applications
  • Security Analysts
  • Open-Source Contributors
  • Large Organizations
Tags
indecent content checkingclient-side deploymentCamera ProtectionBlur Protectionfalse positives
open-sourcesecurityreliabilityLLMvulnerability scanner
Features
Client-side indecent content checking
93% accuracy
4.2MB model size
Camera and Blur Protection
False positive handling mechanisms
Loading indicator
Efficient client-side deployment
Resource availability (Github repositories, blog)
Owned by Infinite Red, Inc.
Suitable for live camera feeds
Open-source
Customized vulnerability probes
Detection of PII leaks
Protection against unauthorized prompt manipulations
Prevention of jailbreaks
Detailed vulnerability reports
Support for multiple LLM API providers
Local operation without cloud dependencies
Test-driven LLM development
Community-supported
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