What is ccode?

48/100
Trust Score (D)
⚠️ Use Caution

ccode is a pypi that A library that encodes and runs any script that has been encrypted through the library in order to preserve the confidentiality of the code and preserve it from theft and preserve the programming righ. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by Mohammed Hamza. Last analyzed August 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
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STARS
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DOWNLOADS

What ccode Does

ccode is a pypi in the pypi category. A library that encodes and runs any script that has been encrypted through the library in order to preserve the confidentiality of the code and preserve it from theft and preserve the programming rights of the programmer. The Lib99 library is a library that specializes in encryption and uses several offices inside it and uses a special type of encryption that was programmed in 2023 month The third. It is published by Mohammed Hamza and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ccode

ccode is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorMohammed Hamza
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=ccode

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

Frequently Asked Questions

What is ccode used for?
ccode is a pypi tool. A library that encodes and runs any script that has been encrypted through the library in order to preserve the confidentiality of the code and preserve it from theft and preserve the programming righ.
Is ccode free?
License: Check project page. ccode has 0 GitHub stars.
Is ccode safe?
ccode has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to ccode?
Top alternatives: . See full comparison.

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

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