Ashes VS ent.hpp

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

Ashes

WebGL2.0 3D Engine - Global Illumination - RayTracing (by but0n)
Webgl Webgl2 Game Engine Ecs pbr-shading bvh Raytracer path-tracing Raytracing monte-carlo Gltf global-illumination
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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)
Entropy Optimum compression Chi square distribution Arithmetic mean monte-carlo Serial correlation coefficient

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SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Ashes ent.hpp
1 1
324 3
- -
0.0 10.0
over 1 year ago 10 months ago
TypeScript c++20
MIT License MIT
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Ashes

Posts with mentions or reviews of Ashes. We have used some of these posts to build our list of alternatives and similar projects.

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 Ashes and ent.hpp you can also consider the following projects:

realism-effects - SSGI, Motion Blur, TRAA - Effects to enhance your three.js scene's realism

Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

webgl-rock-pillars - WebGL Floating Islands demo

ebisu - Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

engine - Fast and lightweight JavaScript game engine built on WebGL and glTF

volesti - Practical volume computation and sampling in high dimensions

engine - Engine core.

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

redcube - JS renderer based on GLTF to WebGPU or WebGL backends.

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

TheRaytracerChallenge - A web raytracer based on the book "The Ray Tracer Challenge"

Ashes vs realism-effects ent.hpp vs Stock-Prediction-Models Ashes vs webgl-rock-pillars ent.hpp vs ebisu Ashes vs engine ent.hpp vs volesti Ashes vs engine ent.hpp vs paramonte Ashes vs redcube ent.hpp vs c-ray Ashes vs TheRaytracerChallenge