taichi
codon
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| taichi | codon | |
|---|---|---|
| 36 | 34 | |
| 24,760 | 13,840 | |
| 1.3% | 1.1% | |
| 9.1 | 7.9 | |
| 5 days ago | 6 days ago | |
| C++ | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
taichi
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This Week In Python
taichi – Productive, portable, and performant GPU programming in Python
- Taichi: Accessible GPU programming, embedded in Python
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The GIL can now be disabled in Python's main branch
ETH Zurich is using it for their physics sim courses, University of Utah is using it for simulations (SIGGRAPH 2022), OPPO (they make smart devices running Android), Kuaishou uses it for liquid and gas simulation on GPUs. Lots of GPU accelerated sim stuff.
https://www.taichi-lang.org/
https://www.researchgate.net/publication/337118128_Taichi_a_...
https://github.com/taichi-dev/taichi
- Julia and Mojo (Modular) Mandelbrot Benchmark
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Taichi v1.5.0 Released! See what's new👇
Check our the realease note (https://github.com/taichi-dev/taichi/releases) for more improvements.
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You Don't Know Jax
I've recently started using Taichi (https://taichi-lang.org/) for numerical codes and the fact it doesn't try to trick you into thinking it's numpy is a nice "feature". ;)
- How can I get into this type of animation with programming?
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Taichi v1.4.0 released!
Taichi v1.4.0 is released! See what's new: - Taichi AOT, along with a native Taichi Runtime library: Native applications can now load compiled AOT modules and launch Taichi kernels without a Python interpreter. - Taichi ndarray: An array object that holds contiguous multi-dimensional data to allow easy data exchange with external libraries. - Dynamic index: Use variable indices whenever necessary on all backends without affecting the performance of those matrices with only constant indices. See deprecation and more improvements in the release note.
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Is Nvidia CUDA Used in VFX Software Tools?
Oh, then if you're not already tied to any particular VFX software, I might as well recommend Taichi again.
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Marching squares algorithm implemented with Taichi: Struct Taichi fields and dynamic SNodes are used to represent line segments, and linear interpolation applied to smoothen the boundaries.
It's an upgrade of a basic version. See changes to the source code here: https://github.com/taichi-dev/taichi/pull/6851
codon
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Should I Open Source my Company?
https://github.com/exaloop/codon/blob/develop/LICENSE
Here are some others: https://github.com/search?q=%22Business+Source+License%22+%2...
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Python running on the Dart VM?
I found at least one project that managed to compile python AOT to LLVM https://github.com/exaloop/codon. Even if LLVM is more expressive than Dart Kernel, that should at least be some evidence that this might not be too impractical.
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Codon: Python Compiler
Their fannkuch benchmark seems to be a bit dishonest. They claim an enormous perf delta on https://exaloop.io/benchmarks.html but fannkuch uses factorial a lot and they define factorial with a very small (n=20) table: https://github.com/exaloop/codon/blob/fb461371613049539654c1...
Disclaimer: I've worked on several Python runtimes and compilers, but I'm not by any means out to get Codon. Just happened across this by accident while looking at their inline LLVM, which is neat.
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The father of Swift made another baby: Mojo: looks to be based on Python using MLIR
If you literally want Python, but compiled ... Look at Codon: https://github.com/exaloop/codon
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Mojo – a new programming language for all AI developers
Another "Python with high-performance compiled builds" would be https://github.com/exaloop/codon.
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MIT Turbocharges Python’s Notoriously Slow Compiler
This is the project being discussed: https://github.com/exaloop/codon
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Is there a way to use turn a project into a single executable file that doesn't require anyone to do anything like install Python before using it?
Try Codon? https://github.com/exaloop/codon
- Since when did Python haters spread out everywhere? Maybe DNF5 would be faster because of ditched it, maybe.
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Budget HomeLab converted to endless money-pit
https://github.com/exaloop/codon might save you from the rewrite.
- What are your thoughts on Codon compiler having a paid licence?
What are some alternatives?
Halide - a language for fast, portable data-parallel computation
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
dolfinx - Next generation FEniCS problem solving environment
Numba - NumPy aware dynamic Python compiler using LLVM
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
Cython - The most widely used Python to C compiler
difftaichi - 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
julia - The Julia Programming Language
copilot.vim - Neovim plugin for GitHub Copilot
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
open-im-server - IM Chat
Django - The Web framework for perfectionists with deadlines.