vswhere
fastplotlib
vswhere | fastplotlib | |
---|---|---|
5 | 2 | |
899 | 325 | |
0.8% | 4.0% | |
4.5 | 9.0 | |
6 days ago | 7 days ago | |
C++ | Python | |
MIT License | Apache License 2.0 |
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.
vswhere
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how does this work?
But often maintainers also upload Releases with builds of their software, e.g. like here: https://github.com/microsoft/vswhere/releases
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Extending Python with Rust
Finding where & how to use an installed VS instance (or selecting one) in automated tooling is solved by the criminally unknown, MIT licensed, MS supported, redistributable, vswhere tool: https://github.com/microsoft/vswhere
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microsoft_craziness.h (2018)
/ // This file was about 400 lines before we started adding these comments. // You might think that's way too much code to do something as simple // as finding a few library and executable paths. I agree. However, // Microsoft's own solution to this problem, called "vswhere", is a // mere EIGHT THOUSAND LINE PROGRAM, spread across 70 files, // that they posted to github unironically. // // I am not making this up: https://github.com/Microsoft/vswhere
- Microsoft_craziness.h
fastplotlib
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Emerging Rust GUI libraries in a WASM world
https://github.com/kushalkolar/fastplotlib
Alternatively, try pygfx for ThreeJS graphics in Python leveraging wgpu. It works great in Notebooks through notebook-rfb. https://github.com/pygfx/pygfx
If you're adventurous, figure out how to make pygfx work with webgpu via wasm
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Extending Python with Rust
Rather than using matplotlib, you could try either pygfx (https://github.com/pygfx/pygfx) or fastplotlib (https://github.com/kushalkolar/fastplotlib) to make higher performance graphics using Python.
However, it won't solve your problem of Python not being fast enough doing the calculations.
What are some alternatives?
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
graphics_wgpu
pygfx - A python render engine running on wgpu.
python-qubit-setup - All scripts for controlling the instruments and acquiring data in our qubit setup.
tundra - Tundra is a code build system that tries to be accurate and fast for incremental builds
Numba - NumPy aware dynamic Python compiler using LLVM
builder - Simple build system for Visual C++
silkenweb - A library for writing reactive single page web apps
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
Carp - A statically typed lisp, without a GC, for real-time applications.