What is erubis?

77/100
Trust Score (B+)
✅ Safe

erubis is a gems that Erubis is an implementation of eRuby and has the following features: * Very fast, almost three times faster than ERB and about 10% faster than eruby. * Multi-language support (Ruby/PHP/C/Java/S. It has a Nerq Trust Score of 77/100 (B+). 0 GitHub stars. Published by makoto kuwata. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

77
TRUST SCORE
B+
GRADE
0
STARS
0
DOWNLOADS

What erubis Does

erubis is a gems in the gems category. Erubis is an implementation of eRuby and has the following features: * Very fast, almost three times faster than ERB and about 10% faster than eruby. * Multi-language support (Ruby/PHP/C/Java/Scheme/Perl/Javascript) * Auto escaping support * Auto trimming spaces around '<% %>' * Embedded pattern changeable (default '<% %>') * Enable to handle Processing Instructions (PI) as embedded. It is published by makoto kuwata and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use erubis

erubis is well-suited for production use given its strong trust score and active community.

Details

Authormakoto kuwata
Categorygems
LicenseNot specified
Typegems
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=erubis

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

Frequently Asked Questions

What is erubis used for?
erubis is a gems tool. Erubis is an implementation of eRuby and has the following features: * Very fast, almost three times faster than ERB and about 10% faster than eruby. * Multi-language support (Ruby/PHP/C/Java/S.
Is erubis free?
License: Check project page. erubis has 0 GitHub stars.
Is erubis safe?
erubis has a Nerq Trust Score of 77/100 (B+). Safe for production use.
What are alternatives to erubis?
Top alternatives: . See full comparison.

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

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