What is xercesc?

53/100
Trust Score (C-)
⚠️ Use Caution

xercesc is a nuget that Xerces-C++ makes it easy to give your application the ability to read and write XML data. A shared library is provided for parsing, generating, manipulating, and validating XML documents u. It has a Nerq Trust Score of 53/100 (C-). 0 GitHub stars. Published by The Apache Software Foundation. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

53
TRUST SCORE
C-
GRADE
0
STARS
0
DOWNLOADS

What xercesc Does

xercesc is a nuget in the nuget category. Xerces-C++ makes it easy to give your application the ability to read and write XML data. A shared library is provided for parsing, generating, manipulating, and validating XML documents using the DOM, SAX, and SAX2 APIs. Xerces-C++ is faithful to the XML 1.0 recommendation and many associated standards. The parser provides high performance, modularity, and sc. It is published by The Apache Software Foundation and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use xercesc

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

Details

AuthorThe Apache Software Foundation
Categorynuget
LicenseNot specified
Typenuget
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=xercesc

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

Frequently Asked Questions

What is xercesc used for?
xercesc is a nuget tool. Xerces-C++ makes it easy to give your application the ability to read and write XML data. A shared library is provided for parsing, generating, manipulating, and validating XML documents u.
Is xercesc free?
License: Check project page. xercesc has 0 GitHub stars.
Is xercesc safe?
xercesc has a Nerq Trust Score of 53/100 (C-). Use with caution.
What are alternatives to xercesc?
Top alternatives: . See full comparison.

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

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