What is performance-mark-impl?

48/100
Trust Score (D)
⚠️ Use Caution

performance-mark-impl is a crates that performance_mark is an attribute macro that adds performance (time) logging to methods. This crate is implementation detail, you should depend on `performance-mark-attribute` instead.. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What performance-mark-impl Does

performance-mark-impl is a crates in the crates category. performance_mark is an attribute macro that adds performance (time) logging to methods. This crate is implementation detail, you should depend on `performance-mark-attribute` instead.. It is published by Unknown and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use performance-mark-impl

performance-mark-impl is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categorycrates
LicenseNot specified
Typecrates
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=performance-mark-impl

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

Frequently Asked Questions

What is performance-mark-impl used for?
performance-mark-impl is a crates tool. performance_mark is an attribute macro that adds performance (time) logging to methods. This crate is implementation detail, you should depend on `performance-mark-attribute` instead..
Is performance-mark-impl free?
License: Check project page. performance-mark-impl has 0 GitHub stars.
Is performance-mark-impl safe?
performance-mark-impl has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to performance-mark-impl?
Top alternatives: . See full comparison.

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

We use cookies for analytics and caching. Privacy Policy