vtl VS v-2Dsoftbodies

Compare vtl vs v-2Dsoftbodies and see what are their differences.

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vtl v-2Dsoftbodies
2 1
139 5
0.7% -
8.0 10.0
22 days ago almost 2 years ago
V V
MIT License GNU General Public License v3.0 only
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.

vtl

Posts with mentions or reviews of vtl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-20.

v-2Dsoftbodies

Posts with mentions or reviews of v-2Dsoftbodies. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-20.
  • Simulating Softbody Dynamics in Vlang
    2 projects | news.ycombinator.com | 20 Feb 2023
    I'm not sure what's going on with this comment. The code snippets shown on the blog is editable, and is about the same size. If the size of the font is a bit different, it should not matter, because that isn't the point of what is being discussed. Unless you are referring to the animations, but then the point is to show the geometric shapes.

    Perhaps you want to go the GitHub page (https://github.com/l1mey112/v-2Dsoftbodies). Font sizes would all be uniform.

What are some alternatives?

When comparing vtl and v-2Dsoftbodies you can also consider the following projects:

vsl - V library to develop Artificial Intelligence and High-Performance Scientific Computations

vsql - ✌️ Single-file or PostgreSQL-server compatible transactional SQL database written in pure V.

DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

vex - Easy-to-use, modular web framework built for V

tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

mui - A Cross-Platform UI Library

burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]

vos - Vinix is an effort to write a modern, fast, and useful operating system in the V programming language

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

vab - V Android Bootstrapper

Arraymancer - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

vredis - Redis client for V, written in V