Open Source Libraries - Page 46
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CloudSchool
Another School Management System
Another School Management System was built with Laravel and PHP 7. -
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Compose Navigation Reimagined
Type-safe navigation library for Jetpack Compose
A small and simple, yet fully fledged and customizable navigation library for Jetpack Compose. -
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ComputeSharp
.NET library to run C# code in parallel on the GPU through DX12
ComputeSharp is a .NET library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders. The available APIs let you access GPU devices, allocate GPU buffers and textures, move data between them and the RAM, write compute shaders entirely in C# and have them run on the GPU. The goal of this project is to make GPU computing easy to use for all .NET developers! You can use this library to create all sorts of things from scientific simulations, to animated backgrounds, audio visualizers and more! The sample app is available in the Microsoft Store, showcasing several pixel shaders all powered by ComputeSharp! In order to also build and run all UWP and WinUI 3 projects, these components need to be installed, UWP development workload, Windows 10 SDKs 17763 and 19041, and Windows App SDK extension for VS2022. -
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Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
Continents & countries (with languages, capital and currency, native name, calling codes). Continents & countries: ISO 3166-1 alpha-2 code, name, ISO 639-1 language, capital and currency, native name, calling codes. Lists are available in JSON, CSV and SQL formats. Also, contains separate JSON files with additional country Emoji flags data. This version changes a lot in the data structures and placement of the files. So, if your projects depend on the old structure — specify previous versions, <2.0.0. Country item languages field is an Array in JSON files to easily count and match items with a Language item. But currency and phone calling codes may be a comma-separated String. Languages list only contains languages used in Countries data. Full list of known languages is exported as languagesAll from ./dist/languages.all.json. -
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DCV Color Primitives
DCV Color Primitives Library
DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601. You might want to propagate errors to the caller function or mix with some other error types. So far, buffers were sized taking into account the image pixel format and dimensions; However, you can use a function to compute how many bytes are needed to store an image of a given format and size. If your data is scattered in multiple buffers that are not necessarily contiguous, you can provide image planes. To take into account data which is not tightly packed, you can provide image strides. -
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DarwinKit
Native Mac APIs for Go. Previously known as MacDriver
DarwinKit is a lightweight framework that provides system-level utilities and APIs for macOS and iOS development, allowing deeper interaction with the Darwin operating system. -
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Day.js
Fast, immutable 2kB alternative to Moment.js with the same modern API
Day.js is a fast, immutable, minimalist JavaScript library for parsing, validating, manipulating, and displaying dates and times for modern browsers. Its API is largely compatible with that of Moment.js, so if you know how to use Moment.js you’ll know how to use Day.js. Why opt for Day.js? Because it’s at just 2kB it involves less JavaScript to download, parse and execute, and more time for your code. Day.js is also immutable, chainable and has great support for internationalization. It currently supports all browsers. -
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Deequ
Deequ is a library built on top of Apache Spark
Deequ is a library built atop Apache Spark that enables defining “unit tests for data” — that is, formal constraints or checks on datasets to ensure data quality along dimensions such as completeness, uniqueness, value ranges, correlations, etc. It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and the suggestion of likely constraints automatically for new datasets. It also includes a little domain-specific language called DQDL (Data Quality Definition Language) which allows declarative specification of quality rules. Users typically run Deequ before feeding data downstream (to ML pipelines, analytics, or production systems), enabling early detection and isolation of data errors. There is also a Python wrapper, PyDeequ, for users who prefer working from Python environments. -
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Default composer
JavaScript library to set default values for nested objects
A tiny (~500B) JavaScript library that allows you to set default values for nested objects. "default-composer" is a JavaScript library that allows you to set default values for nested objects. The library replaces empty strings/arrays/objects, null, or undefined values in an existing object with the defined default values, which helps simplify programming logic and reduce the amount of code needed to set default values. To use "default-composer", simply import the library and call the defaultComposer() function with the default values object and the original object that you want to set default values for. -
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DevOps Basics
Practical and document place for DevOps toolchain
You are new to DevOps or want to learn some DevOps tools, or you are already a DevOps engineer, and you are looking for DevOps documents and a place to practice DevOps tools? This repository will assist you in enhancing your DevOps skills and serve as a bookmark for documents related to DevOps. -
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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the model to learn how to store and retrieve information across long time horizons, much like a traditional computer. The architecture consists of modular components including an access module for managing memory operations, a controller (often an LSTM or feedforward network) for issuing read/write commands, and submodules for temporal linkage and memory allocation tracking. -
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Diligent Engine
A modern cross-platform low-level graphics library
Diligent Engine is a modern, cross-platform, low-level graphics library and rendering framework. It abstracts platform-specific graphics APIs like Direct3D, Vulkan, and OpenGL, providing a unified interface for graphics programming. Diligent Engine is designed for high performance and flexibility, making it suitable for a wide range of applications, from games to scientific simulations. -
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Discord.js
A powerful JavaScript library for interacting with the Discord API
discord.js is a powerful Node.js module that allows you to interact with the Discord API very easily. It takes a much more object-oriented approach than most other JS Discord libraries, making your bot's code significantly tidier and easier to comprehend. Usability, consistency, and performance are key focuses of discord.js, and it also has nearly 100% coverage of the Discord API. It receives new Discord features shortly after they arrive in the API. -
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Driver.js
A lightweight, dependency-free JavaScript library
Driver.js is a lightweight, framework-agnostic JavaScript library for building guided tours, feature spotlights, and product walkthroughs. It programmatically highlights elements on a page, dims the background, and attaches callouts so users learn new flows without leaving the UI. The API lets you define steps, order, and behavior, while handling positioning, scrolling, and viewport collisions gracefully. It strives to be unobtrusive: tours can be triggered contextually, resumed, or dismissed without hijacking the app. Accessibility and keyboard interaction are considered so tours remain usable beyond simple mouse clicks. Because it has no hard dependency on a specific framework, it integrates into vanilla JS apps or modern stacks alike. -
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Dynamic Data
Reactive collections based on Rx.Net
Rx is extremely powerful but out of the box provides nothing to assist with managing collections. In most applications, there is a need to update the collections dynamically. Typically a collection is loaded and after the initial load, asynchronous updates are received. The original collection will need to reflect these changes. In simple scenarios the code is simple. However, typical applications are much more complicated and may apply a filter, transform the original dto and apply a sort. Even with these simple everyday operations, the complexity of the code is quickly magnified. Dynamic data has been developed to remove the tedious code of dynamically maintaining collections. It has grown to become functionally very rich with at least 60 collection-based operations which amongst other things enable filtering, sorting, grouping, joining different sources, transforms, binding, pagination, data virtualization, expiration, disposal management plus more. -
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EASTL
EASTL, Electronic Arts Standard Template Library
EASTL stands for Electronic Arts Standard Template Library. It is a C++ template library of containers, algorithms, and iterators useful for runtime and tool development across multiple platforms. It is a fairly extensive and robust implementation of such a library and has an emphasis on high performance above all other considerations. If you are familiar with the C++ STL or have worked with other templated container/algorithm libraries, you probably don't need to read this. If you have no familiarity with C++ templates at all, then you probably will need more than this document to get you up to speed. In this case, you need to understand that templates, when used properly, are powerful vehicles for the ease of creation of optimized C++ code. A description of C++ templates is outside the scope of this documentation, but there is plenty of such documentation on the Internet. -
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EasyDeviceInfo
[Android Library] Get device information in a super easy way
Android library to get device information in a super easy way. The library is built for simplicity and approachability. It not only eliminates most boilerplate code for dealing with device information but also provides an easy and simple API to retrieve them. EasyDeviceInfo is split into multiple module-libraries, v2.2.0 onwards. Use the appropriate one as per your requirement. -
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Elsa Workflows
A .NET Standard 2.0 Workflows Library
Build workflows in code using the Workflow Builder API or as data using JSON syntax. Or use the workflow designer to design executable workflows visually. Elsa comes with a reusable dashboard component to manage workflows and activities. Run workflows from within your application using simple to use APIs. Start or resume workflows manually, or automatically by invoking triggers. Make it your own by extending the set of activities with your own. Implementing custom activities allows for powerful workflows that can be implemented with ease. Workflows can be defined using plain C# code. In addition to an increasing number of activities that you can choose from, Elsa is designed to be extensible with your own custom activities. Short-running Workflows can be useful to implement a business rules engine, while long-running workflows greatly simplify the implementation of complex processes that involve coordinating between multiple agents (users & machines). -
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Emoji
A library to add Emoji support to your Android / JVM Application
A Kotlin Multiplatform library to add Emoji support to your Android App / JVM Backend. Check out the sample jvm module for text parsing/searching functionality. PopupWindow which overlays over the soft keyboard. Normal view which is used by EmojiPopup and can also be used as a standalone to select emojis via categories. The library has 4 different sprites providers to choose from (iOS, Google, Facebook & Twitter). The emoji's are packaged as pictures and loaded at runtime. If you want to use a Font provider, check out Google Compat. For convenience, there's also a EmojiLayoutFactory, which can be used to get automatic Emoji support when using normal Android Views such as TextView, Checkbox, etc. -
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Emoji Mart
One component to pick them all
Data required for the picker to work has been completely decoupled from the library. That gives developers the flexibility to better control their app bundle size and let them choose how and when this data is loaded. Callback when the Add custom emoji button is clicked. The button will only be displayed if this callback is provided. It is displayed when search returns no results. You can use custom emojis by providing an array of categories and their emojis. Emojis also support multiple skin tones and can be GIFs or SVGs. You can use custom category icons by providing an object with the category name as key and the icon as value. Currently supported formats are svg string and src. First, you need to make sure data has been initialized. You need to call this only once per page load. Note that if you call init like this, you don’t necessarily need to include data in your Picker props. It doesn’t hurt either, it will noop. -
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EventEmitter3
Because there's also a number 2. And we're faster
EventEmitter3 is a high-performance event emitter for Node.js and the browser, providing a lightweight and efficient solution for managing events and event listeners in JavaScript applications. -
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Exq
Job processing library for Elixir - compatible with Resque / Sidekiq
Exq is a job processing library compatible with Resque / Sidekiq for the Elixir language. Exq uses Redis as a store for background processing jobs. Exq handles concurrency, job persistence, job retries, reliable queueing and tracking so you don't have to. Jobs are persistent so they would survive across node restarts. You can use multiple Erlang nodes to process from the same pool of jobs. Exq uses a format that is Resque/Sidekiq compatible. This means you can use it to integrate with existing Rails / Django projects that also use a background job that's Resque compatible - typically with little or no changes needed to your existing apps. However, you can also use Exq standalone. You can also use the Sidekiq UI to view job statuses, as Exq is compatible with the Sidekiq stats format. You can run both Exq and Toniq in the same app for different workers. Exq supports uncapped amount of jobs running, or also allows a max limit per queue. -
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FABRevealMenu
A general purpose Android UI library to show a user show menu
A simple general-purpose UI library to create a custom user-defied menu in a modern way with your favorite Floating action button. It incorporates a lollipop circular reveal view with cool animations somewhat inspired by Google Material Design guidelines. -
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FFTW.jl
Julia bindings to the FFTW library for fast Fourier transforms
This package provides Julia bindings to the FFTW library for fast Fourier transforms (FFTs), as well as functionality useful for signal processing. These functions were formerly a part of Base Julia. Users with a build of Julia based on Intel's Math Kernel Library (MKL) can use MKL for FFTs by setting a preference in their top-level project by either using the FFTW.set_provider!() method, or by directly setting the preference using Preferences.jl. Note that this choice will be recorded for the current project, and other projects that wish to use MKL for FFTs should also set that same preference. Note further that MKL provides only a subset of the functionality provided by FFTW. -
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FS2
Compositional, streaming I/O library for Scala
FS2 (“Functional Streams for Scala”) is a purely functional, effectful abstraction for stream processing on the JVM. Built on Cats Effect, it enables compositional resource-safe streaming workflows with robust error handling, back-pressure, pull/push semantics, and support for concurrent and interruptible pipelines.
