What is Books_Recommender?
53/100
Trust Score (D)
⚠️ Use Caution
Books_Recommender is a recommender that A software for recommending books.. It has a Nerq Trust Score of 53/100 (D). 1 GitHub stars. Published by TheRock99. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
53
TRUST SCORE
D
GRADE
1
STARS
0
DOWNLOADS
What Books_Recommender Does
Books_Recommender is a space in the recommender category. A software for recommending books.. It is published by TheRock99 and has no specified license. With 1 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Books_Recommender
Books_Recommender is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | TheRock99 |
|---|---|
| Category | recommender |
| License | Not specified |
| Type | space |
| 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=books-recommender
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| book-recommender | 53 | 4 |
| movie-recommender | 53 | 4 |
| recommender | 51 | 3 |
| Book_recommendation | 53 | 2 |
| movie-recommender | 53 | 2 |
Frequently Asked Questions
What is Books_Recommender used for?
Books_Recommender is a recommender tool. A software for recommending books..
Is Books_Recommender free?
License: Check project page. Books_Recommender has 1 GitHub stars.
Is Books_Recommender safe?
Books_Recommender has a Nerq Trust Score of 53/100 (D). Use with caution.
What are alternatives to Books_Recommender?
Top alternatives: book-recommender, movie-recommender, recommender. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.