What is krepis?

69/100
Trust Score (B-)
⚠️ Use Caution

krepis is a pypi that krepis (Greek κρηπίς — the foundation a structure stands on): general-purpose Python primitives for production data and LLM pipelines on AWS — logging, SSM secrets, Telegram/SNS/Web Push alerts, bound. It has a Nerq Trust Score of 69/100 (B-). 0 GitHub stars. Published by Brian McMahon. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

69
TRUST SCORE
B-
GRADE
0
STARS
0
DOWNLOADS

What krepis Does

krepis is a pypi in the pypi category. krepis (Greek κρηπίς — the foundation a structure stands on): general-purpose Python primitives for production data and LLM pipelines on AWS — logging, SSM secrets, Telegram/SNS/Web Push alerts, bounded-backoff HTTP retry, S3 writer locks, the Anthropic payload chokepoint, LLM cost telemetry, the LLM-as-judge transport core, trading-calendar/date helpers, and EC2-spot/SSM resilience.. It is published by Brian McMahon and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use krepis

krepis is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorBrian McMahon
Categorypypi
LicenseNot specified
Typepypi
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=krepis

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is krepis used for?
krepis is a pypi tool. krepis (Greek κρηπίς — the foundation a structure stands on): general-purpose Python primitives for production data and LLM pipelines on AWS — logging, SSM secrets, Telegram/SNS/Web Push alerts, bound.
Is krepis free?
License: Check project page. krepis has 0 GitHub stars.
Is krepis safe?
krepis has a Nerq Trust Score of 69/100 (B-). Use with caution.
What are alternatives to krepis?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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