Open Source Windows Libraries - Page 36
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Libraries for Windows
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1
Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. This can make it more challenging to learn and use Rust libraries that heavily rely on Rust's unique features and syntax. -
2
Phaser 3
This repository contains the code necessary to start making a game
The Phaser 3 TypeScript Starter Kit is a boilerplate project that provides a structured foundation for developing Phaser 3 games using TypeScript. It includes essential configurations and examples to help developers get started quickly. -
3
Phaser Ads
A Phaser plugin for providing nice ads integration in your phaser.io
Phaser Ads is a plugin designed to integrate various advertising providers into Phaser-based games, offering a unified API for managing ads across different platforms. It simplifies the process of incorporating ads, including mobile-specific options, into your game. -
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Phaser Raycaster
Raycasting plugin for Phaser 3
Phaser Raycaster is a plugin for Phaser 3 that implements raycasting functionality, enabling developers to simulate visibility, lighting, and field-of-view mechanics in their games. -
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5
Phonelib
Ruby gem for phone validation and formatting
Phonelib is a Ruby gem that provides phone number validation and formatting capabilities by leveraging Google's libphonenumber library. It enables developers to parse, validate, and format international phone numbers within Ruby applications. -
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Photobooth
A photobooth Web-Application for raspberry pi with gphoto2
A Photobooth web interface for Raspberry Pi and Windows. Event-specific (e.g. wedding, birthday) config to show a symbol (e.g. heart) between some text on the start page. Green screen keying (chroma keying). Photo collage function: take 4 pictures in a row with or without interruption and let it generate a collage out of it. Save pictures with a Polaroid effect. Adjust take picture and print commands. And many more options to adjust and style the Photobooth for your personal needs. -
7
PixelFlow
A Processing/Java library for high performance GPU-Computing (GLSL)
PixelFlow is a Processing library focused on advanced graphics and visual effects, offering an extensive suite of GPU-based tools for visual artists, researchers, and creative coders. It enables real-time simulation and rendering of complex effects such as fluid dynamics, reaction-diffusion systems, soft shadows, and more, all powered by GLSL shaders. Its modular structure allows for chaining and composing various visual effects easily, making it ideal for installations, performances, and visual experimentation. -
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Plotly Graphing Library for MATLAB
Plotly Graphing Library for MATLAB
Create interactive charts in your web browser with MATLAB® and Plotly. -
9
Polymer
A Web Component library
Polymer is a lightweight Web Components library that lets you create encapsulated Web Components that work just like standard HTML elements. These elements can be used in building web applications and are reusable. Polymer can be particularly useful when building UI components. Instead of having to constantly rebuild components such as a specific navigation bar or button in different frameworks and for different projects, simply define this component once with Polymer, and you can use it again and again in your future projects. Because Polymer is built on top of the web standards-based Web Components APIs, custom HTML elements made from it are built totally from the platform up and are interoperable across frameworks. Polymer also works across all major browsers. -
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10
PowerGlitch
Tiny JS library to glitch anything on the web
PowerGlitch is a standalone library with no external dependencies. It leverages CSS animations to glitch anything on the web, without using a canvas. It weights less than 2kb minified and gzipped. -
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Poxa
Pusher server implementation compatible with Pusher client libraries
Pusher server implementation is compatible with Pusher client libraries. Open Pusher implementation compatible with Pusher libraries. It's designed to be used as a single registered app with id, secret, and key defined on start. Poxa is a standalone elixir server implementation of the Pusher protocol. Docker images are automatically built by Docker Hub. They are available at Docker Hub. One can generate it using: docker build -t local/poxa. Poxa uses gproc extensively to register websocket connections as channels. So, when a client subscribes for channel 'example-channel', the websocket connection (which is a elixir process) is "tagged" as {pusher, example-channel}. When a pusher event is triggered on the 'example-channel', every websocket matching the tag receives the event. -
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Pretty Jupyter
Creates dynamic html report from jupyter notebook.
Pretty Jupyter is an easy-to-use package that allows to create beautiful & dynamic HTML reports. Most of the features require little to no work to get working and greatly improve the quality of the output report, or even the developer’s comfort when creating the report. For example, tabs make some visualizations much more comfortable. The features are integrated directly into the output page, therefore there is no need to have an interpreter running in the backend. This makes the HTML easily sendable or uploadable to a static website. -
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PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. The library’s design emphasizes flexibility and modularity, supporting advanced features like default scopes, parameter templates, and variable reuse. It also allows easy integration with custom operations and third-party libraries, making it ideal for both research experimentation and production-grade modeling. By combining TensorFlow’s power with an intuitive builder-style API, Pretty Tensor accelerates model development without sacrificing transparency or control. -
14
Prism
Lightweight, robust, elegant syntax highlighting
Prism is a lightweight, extensible syntax highlighter, built with modern web standards in mind. It’s used in millions of websites, including some of those you visit daily. -
15
Probability Cheatsheet
A comprehensive 10-page probability cheatsheet
The probability_cheatsheet is a cheat sheet repository that summarizes key probability theory concepts, formulas, distributions, and properties in a concise format. It likely includes definitions of random variables, PMFs and PDFs, expectations, variance, common distributions (e.g. binomial, normal, Poisson, exponential), conditional probability, Bayes’ theorem, moment generating functions, and perhaps important inequalities (Markov, Chebyshev, Chernoff). The cheat sheet is intended as a quick reference for students, data scientists, statisticians, or anyone needing to recall core probability formulas without diving into textbooks. It may include visual diagrams (e.g. distributions’ shapes), tips or mnemonic notes, and examples of application (e.g. computing probabilities or expectations). Formats could include Markdown, PDF, or images for easy inclusion in study materials or slides. -
16
Proxygen
A collection of C++ HTTP libraries including an easy to use HTTP serve
This project comprises the core C++ HTTP abstractions used at Facebook. Internally, it is used as the basis for building many HTTP servers, proxies, and clients. This release focuses on the common HTTP abstractions and our simple HTTPServer framework. Future releases will provide simple client APIs as well. The framework supports HTTP/1.1, SPDY/3, SPDY/3.1, HTTP/2, and HTTP/3. The goal is to provide a simple, performant, and modern C++ HTTP library. Note that currently this project has been tested on Ubuntu 18.04 and Mac OSX although it likely works on many other platforms. The central abstractions to understand in proxygen/lib are the session, codec, transaction, and handler. These are the lowest level abstractions, and we don't generally recommend building off of these directly. When bytes are read off the wire, the HTTPCodec stored inside HTTPSession parses these into higher-level objects and associates with it a transaction identifier. -
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Pusher Channels Javascript Client
Pusher Javascript library
Bi-directional hosted APIs that are flexible, scalable and easy to use. We create and maintain complex messaging infrastructure so you can build the realtime features your users need, fast. -
18
PyOpenCL
OpenCL integration for Python, plus shiny features
PyOpenCL is a Python wrapper for the OpenCL framework, providing seamless access to parallel computing on CPUs, GPUs, and other accelerators. It enables developers to harness the full power of heterogeneous computing directly from Python, combining Python’s ease of use with the performance benefits of OpenCL. PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration. -
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PyTensor
Python library for defining and optimizing mathematical expressions
PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that currently provides compilation via C, JAX, and Numba. Based on one of the most widely-used Python tensor libraries: Theano. -
20
Pyro
Deep universal probabilistic programming with Python and PyTorch
Pyro is a flexible, universal probabilistic programming language (PPL) built on PyTorch. It allows for expressive deep probabilistic modeling, combining the best of modern deep learning and Bayesian modeling. Pyro is centered on four main principles: Universal, Scalable, Minimal and Flexible. Pyro is universal in that it can represent any computable probability distribution. It scales easily to large datasets with minimal overhead, and has a small yet powerful core of composable abstractions that make it both agile and maintainable. Lastly, Pyro gives you the flexibility of automation when you want it, and control when you need it. -
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Pysheeet
Python Cheat Sheet
Pysheeet is a community-driven collection of Python code snippets covering common patterns and tasks like sockets, file I/O, data structures, and more. Each snippet is concise and battle-tested, designed to save coding time and reduce boilerplate. With documentation hosted on Read the Docs and an active GitHub repo, it’s a go-to resource for Python developers. -
22
Python Outlier Detection
A Python toolbox for scalable outlier detection
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS. -
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Python Progressbar
Progressbar 2 - A progress bar for Python 2 and Python 3
A text progress bar is typically used to display the progress of a long-running operation, providing a visual cue that processing is underway. The progressbar is based on the old Python progressbar package that was published on the now-defunct Google Code. Since that project was completely abandoned by its developer and the developer did not respond to my email, I decided to fork the package. This package is still backward compatible with the original progressbar package so you can safely use it as a drop-in replacement for existing projects. The ProgressBar class manages the current progress, and the format of the line is given by a number of widgets. A widget is an object that may display differently depending on the state of the progress bar. -
24
QOI
The “Quite OK Image Format” for fast, lossless image compression
QOI, short for “Quite OK Image,” is a minimalist lossless image compression format designed to achieve extremely fast encoding and decoding speeds while maintaining compression ratios comparable to PNG. The project was created as a simpler alternative to complex legacy image formats, using an intentionally lightweight specification that can be implemented in only a few hundred lines of code. QOI focuses on predictable O(n) performance and efficient pixel encoding strategies without relying on heavyweight compression algorithms like DEFLATE. The format supports RGB and RGBA images while remaining easy to port across programming languages and hardware environments. Its simplicity and speed have made it popular among game developers, embedded systems engineers, graphics programmers, and experimental software projects. Overall, qoi demonstrates how streamlined design can achieve practical high-performance image compression with dramatically reduced implementation complexity. -
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QuantumOptics.jl
Library for the numerical simulation of closed as well as open quantum
QuantumOptics.jl is a numerical framework written in the Julia programming language that makes it easy to simulate various kinds of open quantum systems. It is inspired by the Quantum Optics Toolbox for MATLAB and the Python framework QuTiP. QuantumOptics.jl optimizes processor usage and memory consumption by relying on different ways to store and work with operators. The framework comes with a plethora of pre-defined systems and interactions making it very easy to focus on the physics, not on the numerics. Every function in the framework has been severely tested with all tests and their code coverage presented on the framework's GitHub page.
