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Description
TypeGPU is a TypeScript library that enhances the capabilities of the WebGPU API, enabling resource management in a type-safe and declarative manner. This library aims to transform how developers engage with GPU rendering and computing by introducing improved structure, validation, and an enhanced developer experience within WebGPU workflows. By facilitating the encoding and decoding of GPU data with typed binaries, TypeGPU allows developers to concentrate on their GPU programs without the burden of dealing with raw bytes. It enables the direct description of complex data types like structs and arrays, while TypeScript simultaneously ensures the validation of both outgoing and incoming data. Furthermore, it extends its functionality to React Native via react-native-wgpu, broadening the horizons of WebGPU development beyond traditional browser environments. The future direction of TypeGPU is centered on achieving comprehensive type safety for GPU operations, incorporating interoperable primitives such as data structures, buffers, bind groups, a linker, functions, pipelines, and imperative coding practices, which will significantly streamline development processes. This comprehensive approach positions TypeGPU as a pivotal tool for modern GPU programming.
Description
All components of a URL, including scheme, user, password, host, port, path, query, and fragment, can be accessed through their respective properties. Every manipulation of a URL results in a newly generated URL object, and the strings provided to the constructor or modification functions are automatically encoded to yield a canonical format. While standard properties return percent-decoded values, the raw_ variants should be used to obtain encoded strings. A human-readable version of the URL can be accessed using the .human_repr() method. Binary wheels for yarl are available on PyPI for operating systems such as Linux, Windows, and MacOS. In cases where you wish to install yarl on different systems like Alpine Linux—which does not comply with manylinux standards due to the absence of glibc—you will need to compile the library from the source using the provided tarball. This process necessitates having a C compiler and the necessary Python headers installed on your machine. It is important to remember that the uncompiled, pure-Python version is significantly slower. Nevertheless, PyPy consistently employs a pure-Python implementation, thus remaining unaffected by performance variations. Additionally, this means that regardless of the environment, PyPy users can expect consistent behavior from the library.
API Access
Has API
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Has API
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Free Trial
Free Version
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Free
Free Trial
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Deployment
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Windows
Mac
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Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
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Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
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Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Software Mansion
Founded
2012
Country
Poland
Website
docs.swmansion.com/TypeGPU/
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/yarl/