What is simul?

48/100
Trust Score (D)
⚠️ Use Caution

simul is a crates that A discrete-event simulation library aimed at high-level use-cases to quickly simulate real-world problems and run simulated experiments. Some example use cases might include simulating logistics or o. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by Unknown. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What simul Does

simul is a crates in the crates category. A discrete-event simulation library aimed at high-level use-cases to quickly simulate real-world problems and run simulated experiments. Some example use cases might include simulating logistics or operations research problems, running experiments to determine optimal parameters, simulating queueing systems, distributed systems, performance engineering, and so on. . 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 simul

simul 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=simul

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

Frequently Asked Questions

What is simul used for?
simul is a crates tool. A discrete-event simulation library aimed at high-level use-cases to quickly simulate real-world problems and run simulated experiments. Some example use cases might include simulating logistics or o.
Is simul free?
License: Check project page. simul has 0 GitHub stars.
Is simul safe?
simul has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to simul?
Top alternatives: . See full comparison.

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

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