GLM
OpenGL Mathematics (GLM) (by g-truc)
xtensor
C++ tensors with broadcasting and lazy computing (by xtensor-stack)
| GLM | xtensor | |
|---|---|---|
| 36 | 8 | |
| 8,689 | 3,215 | |
| 1.3% | 1.0% | |
| 8.9 | 7.6 | |
| 13 days ago | 8 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
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.
GLM
Posts with mentions or reviews of GLM.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-11.
- Release of GLM 1.0.0
- C++23: The Next C++ Standard
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What files from glm's github do I need to add to my emscripten project?
I am a greenhorn at graphics programming. I just made an app in OpenGL with C++ that I now need to change over to a browser app with WebGL. WebGL looks pretty cool but since my app does a lot of calculations I assumed I should keep the heavier calculating parts in C++ with emscripten ( which I am also just learning ). So looking at it, it just looks like glm is the only library I seriously need for my c++ code and that seems pretty cool because it is a header only app it says. But in the github there are a lot of folders and files so I am not sure which are indispensable or not. Any advice?
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What is a file with the .i.hh extension such as myfile.i.hh used for in a C++ project?
GLM does it quite well, it has core includes then a detail folder with all the inl files that get added. https://github.com/g-truc/glm
- [Opengl] Aide: compilation et installation de GLFW
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Porting to metal?
I once ported an OpenGL code base over to Metal. For me, it was essential to do as much code sharing as possible. Because I was using the GLM library in that code base and generally found that library very useful I wanted to know whether I can use GLM with Metal. I had to do some research but it turned out it works really well, see here
- Which is the best way to work with matrices and linear algebra using c++?
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Best C++ Game Framework
I would also recommend GLM
- PocketPy: A Lightweight(~5000 LOC) Python Implementation in C++17
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Learning DirectX 12 in 2023
Alongside MiniEngine, you’ll want to look into the DirectX Toolkit. This is a set of utilities by Microsoft that simplify graphics and game development. It contains libraries like DirectXMesh for parsing and optimizing meshes for DX12, or DirectXMath which handles 3D math operations like the OpenGL library glm. It also has utilities for gamepad input or sprite fonts. You can see a list of the headers here to get an idea of the features. You’ll definitely want to include this in your project if you don’t want to think about a lot of these solved problems (and don’t have to worry about cross-platform support).
xtensor
Posts with mentions or reviews of xtensor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-07.
- Does anyone know any good open source project to optimize?
- Container slicing in c++
-
Which is the best way to work with matrices and linear algebra using c++?
I use xtensor: https://github.com/xtensor-stack/xtensor
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Can you give an example of well-designed C++ code, and explain why you think it is so?
Currently, one of my current favorites is xtensor.
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Risk of valarray being deprecated?
xTensor natively supports tensors and multidimensional arrays - not just vectors and matrices. Is fast, but not always as fast as Eigen and Blaze - and compiles very slow. Has a nice syntax.
- Xtensor: multi-dimensional arrays with broadcasting and lazy computing
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Eigen: A C++ template library for linear algebra
I wonder how Eigen compares to xtensor, which was inspired by Numpy and has support for views, slicing, and broadcasting?
https://github.com/xtensor-stack/xtensor
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When researching and developing new algorithms to be used in the real-world production environment, what is your workflow and how do you usually do it? Do I have to prototype in Python, and then rewrite all code in C++/Rust?
You can try eigen (http://eigen.tuxfamily.org/), armadillo (http://arma.sourceforge.net/) which is based on LAPACK which is what numpy is based on and xtensor (https://github.com/QuantStack/xtensor) which I think is the closest thing to numpy you’re gonna find in c++
What are some alternatives?
When comparing GLM and xtensor you can also consider the following projects:
Eigen
Fastor - A lightweight high performance tensor algebra framework for modern C++
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
EA Standard Template Library - EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.
linmath.h - a lean linear math library, aimed at graphics programming. Supports vec3, vec4, mat4x4 and quaternions
dynarray - A header-only library, VLA for C++ (≥C++14). Extended version of std::experimental::dynarray
cglm - 📽 Highly Optimized 2D / 3D Graphics Math (glm) for C
SwiftyWasmer - A Swift API for the Wasmer WebAssembly Runtime
OpenBLAS - OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
pinocchio - A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
blaze
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration