What is Widget Options – Advanced Conditional Visibility for Gutenberg Blocks & Classic Widgets?
Widget Options – Advanced Conditional Visibility for Gutenberg Blocks & Classic Widgets is a wordpress that Widget Options gives you control over widgets and Gutenberg blocks across pages, posts, and custom post types to manage content visibility.. It has a Nerq Trust Score of 74/100 (B). 4 GitHub stars. Published by Marketing Fire. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 4 stars, 4 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Widget Options – Advanced Conditional Visibility for Gutenberg Blocks & Classic Widgets Does
Widget Options – Advanced Conditional Visibility for Gutenberg Blocks & Classic Widgets is a wordpress in the wordpress category. Widget Options gives you control over widgets and Gutenberg blocks across pages, posts, and custom post types to manage content visibility.. It is published by Marketing Fire and has no specified license. With 4 GitHub stars and 4 downloads, it has a small community of users and contributors.
Who Should Use Widget Options – Advanced Conditional Visibility for Gutenberg Blocks & Classic Widgets
Widget Options – Advanced Conditional Visibility for Gutenberg Blocks & Classic Widgets is well-suited for production use given its strong trust score and active community.
Details
| Author | Marketing Fire |
|---|---|
| Category | wordpress |
| License | Not specified |
| Type | wordpress |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=widget-options-advanced-conditional-visibility-for-gutenberg-blocks-amp-classic-widgets
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.