entropy VS ent.hpp

Compare entropy vs ent.hpp and see what are their differences.

ent.hpp

A header-only library that applies various tests to sequences of bytes stored in files and reports the results of those tests. The class is useful for evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest. (by chbtoys)
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entropy ent.hpp
2 1
62 3
- -
4.4 10.0
5 months ago 10 months ago
C++ c++20
GNU General Public License v3.0 only MIT
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entropy

Posts with mentions or reviews of entropy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.
  • entropy VS ent - a user suggested alternative
    2 projects | 27 Jun 2023
  • multiple .m4f to one video
    1 project | /r/Piracy | 10 Feb 2022
    You can also look for patterns in the file that would suggest it's not encrypted, or just feed it into some kind of entropy measurement utility. If there's high entropy >7.5, then these files are actually encrypted with some key that was included in a manifest/MPD file or supplied to your browser client via a side-channel and is not included in these data files.

ent.hpp

Posts with mentions or reviews of ent.hpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.
  • entropy VS ent - a user suggested alternative
    2 projects | 27 Jun 2023
    A header-only library that does the same thing and more. ent.hpp - applies various tests to sequences of bytes stored in files and reports the results of those tests. The class is useful for evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest. Gives you the following result: Entropy = 7.990144 bits per byte. Optimum compression would reduce the size of this 469842 byte file by 0 percent. Chi square distribution for 469842 samples is 6481.037481, and randomly would exceed this value less than 0.01 percent of the times. Arithmetic mean value of data bytes is 127.740998 (127.500000 = random). Monte Carlo value for Pi is 3.104039 (error 1.195363 percent). Serial correlation coefficient is -0.016080 (totally uncorrelated = 0.0).

What are some alternatives?

When comparing entropy and ent.hpp you can also consider the following projects:

LIEF - LIEF - Library to Instrument Executable Formats

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volesti - Practical volume computation and sampling in high dimensions

Ashes - WebGL2.0 3D Engine - Global Illumination - RayTracing

paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

c-ray - c-ray is a small, simple path tracer written in C