What is Binomial-Gauss?
48/100
Trust Score (D)
⚠️ Use Caution
Binomial-Gauss is a pypi that Gaussian and Binomial distributions. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by Pankaj Biradar. 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
48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What Binomial-Gauss Does
Binomial-Gauss is a pypi in the pypi category. Gaussian and Binomial distributions. It is published by Pankaj Biradar and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Binomial-Gauss
Binomial-Gauss is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Pankaj Biradar |
|---|---|
| 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=binomial-gauss
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
What is Binomial-Gauss used for?
Binomial-Gauss is a pypi tool. Gaussian and Binomial distributions.
Is Binomial-Gauss free?
License: Check project page. Binomial-Gauss has 0 GitHub stars.
Is Binomial-Gauss safe?
Binomial-Gauss has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to Binomial-Gauss?
Top alternatives: . See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.