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