HookStagesCounter VS Recast/Detour

Compare HookStagesCounter vs Recast/Detour and see what are their differences.

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HookStagesCounter Recast/Detour
1 14
3 6,231
- 1.2%
10.0 7.4
about 1 year ago 11 days ago
Python C++
MIT License zlib License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

HookStagesCounter

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

Recast/Detour

Posts with mentions or reviews of Recast/Detour. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-20.

What are some alternatives?

When comparing HookStagesCounter and Recast/Detour you can also consider the following projects:

Materialize - Materialize Multiplatform ( Linux and Windows). Materialize is a program for converting images to materials for use in video games and similars. Multiplatform Version.

AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings

DBD-API - Dead By Daylight API

Genann - simple neural network library in ANSI C

btsk - Behavior Tree Starter Kit

ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library

BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

tensorflow - An Open Source Machine Learning Framework for Everyone

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

openmind - Deduction framework with arbitrary mathematical system solver.

tiny-cnn - header only, dependency-free deep learning framework in C++14

frugally-deep - A lightweight header-only library for using Keras (TensorFlow) models in C++.