Open Source Windows Libraries - Page 25
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Asciidoctor PDF
Asciidoctor PDF: A native PDF converter for AsciiDoc
A fast text processor & publishing toolchain for converting AsciiDoc to HTML5, DocBook & more. Asciidoctor is a fast, open source, Ruby-based text processor for parsing AsciiDoc® into a document model and converting it to output formats such as HTML 5, DocBook 5, manual pages, PDF, EPUB 3, and other formats. Asciidoctor also has an ecosystem of extensions, converters, build plugins, and tools to help you author and publish content written in AsciiDoc. -
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AstroNvim Community Repository
A community repository of common plugin specifications
AstroNvim's community repository contains plugin configuration specifications — a collection of plugins contributed by the community for AstroNvim, a NeoVim configuration. These specifications help manage the variety of plugins used in AstroNvim. To integrate the community plugins, add the provided configurations to your plugins setup preferably before you import your own plugins to guarantee all AstroCommunity changes are loaded before your own overrides. If you are using the AstroNvim Template This can be done in your lua/community.lua file. -
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AtlantaFX
Modern JavaFX CSS theme collection with additional controls
Modern JavaFX CSS theme collection with additional controls. -
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Avalanche
End-to-End Library for Continual Learning based on PyTorch
Avalanche is an end-to-end Continual Learning library based on Pytorch, born within ContinualAI with the unique goal of providing a shared and collaborative open-source (MIT licensed) codebase for fast prototyping, training and reproducible evaluation of continual learning algorithms. Avalanche can help Continual Learning researchers in several ways. This module maintains a uniform API for data handling: mostly generating a stream of data from one or more datasets. It contains all the major CL benchmarks (similar to what has been done for torchvision). Provides all the necessary utilities concerning model training. This includes simple and efficient ways of implementing new continual learning strategies as well as a set of pre-implemented CL baselines and state-of-the-art algorithms you will be able to use for comparison! Avalanche the first experiment of an End-to-end Library for reproducible continual learning research & development where you can find benchmarks, algorithms, etc. -
8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
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Awesome English Ebooks
Curated list of freely available English-language magazine issues
awesome-english-ebooks is a curated list that collects high-quality, English-language ebooks across programming, computer science, mathematics, and related technical domains. The repository organizes links by topic and technology so learners can quickly find foundational texts, deep dives, and practical handbooks relevant to their goals. Entries often include notes about edition, format, or prerequisite knowledge, helping readers gauge where a book fits in a learning path. Because it lives in Git, the list benefits from community maintenance: contributors add new titles, replace dead links, and refine categories as the ecosystem shifts. The intent is to lower the barrier to structured self-study by pointing to reputable, long-lived resources rather than ephemeral blog posts. It’s especially useful for students, self-taught developers, and professionals building a reading plan around core concepts and modern practice. -
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Awesome Network Analysis
A curated list of awesome network analysis resources
awesome-network-analysis is a curated list of resources focused on network and graph analysis, including libraries, frameworks, visualization tools, datasets, and academic papers. It covers multiple programming languages and domains like sociology, biology, and computer science. This repository serves as a central reference for researchers, analysts, and developers working with network data. -
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Azure Data SQL Samples
Official Microsoft repository containing code samples for SQL Server
This GitHub repository contains code samples that demonstrate how to use Microsoft's Azure Data products including SQL Server, Azure SQL Database, Azure Synapse, and Azure SQL Edge. Each sample includes a README file that explains how to run and use the sample. Note that certain features like In-Memory OLTP are edition specific for SQL Server and would be possible to implement if the edition which supports that feature is being used to run the sample. Releases allow you to conveniently download sample databases or applications without the need to build them from source code. Wide World Importers sample database v1.0 is the main sample for SQL Server 2016 and Azure SQL Database. It contains both an OLTP and an OLAP database. In-Memory OLTP Performance Demo v1.0 illustrates the performance benefits of the In-Memory OLTP technology built into SQL Server and Azure SQL Database. IoT Smart Grid sample v1.0 illustrates how SQL Server can be leveraged to ingest data from IoT devices. -
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BIMserver
The open source BIMserver platform
The Building Information Model server (short: BIMserver) enables you to store and manage the information of a construction (or other building related) project. Data is stored in the open data standard IFC. The BIMserver is not a fileserver, but it uses a model-driven architecture approach. This means that IFC data is stored as objects. You could see BIMserver as an IFC database, with special extra features like model checking, versioning, project structures, merging, etc. The main advantage of this approach is the ability to query, merge and filter the BIM model and generate IFC output (i.e. files) on the fly. Thanks to its multi-user support, multiple people can work on their own part of the dataset, while the complete dataset is updated on the fly. Other users can get notifications when the model (or a part of it) is updated. -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Base Web React Components
A React Component library implementing the Base design language
Base is a design system comprised of modern, responsive, living components. Base Web is the React implementation of Base. On npm, you can find Base Web as baseui. Add baseui and its peer dependencies to your project. Both Base Web and Styletron come with flow types and TypeScript. All our components are typed and examples have Vanilla, Flow and TypeScript versions. For Styletron + TS, you need to add some additional packages. Base Web offers a robust suite of components out of the box. These include complex, ready-to-use components such as Datepicker and low-level composable primitives, such as Layer. Through the Overrides API and configurable Themes, Base Web offers an extreme level of customization. Whether you want to modify a component in one place only or you want to build your design system on top of Base Web, we have options. Base Web does the heavy lifting for you, components are built with accessibility being a first-class citizen. -
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BenchmarkDotNet
Powerful .NET library for benchmarking
BenchmarkDotNet is a powerful .NET library designed for creating accurate and reproducible benchmarks. It handles complexities like warm-up, outlier removal, and statistical analysis, presenting results in a clean, customizable summary format. BenchmarkDotNet has tons of features that are essential in comprehensive performance investigations. Four aspects define the design of these features: simplicity, automation, reliability, and friendliness. A lot of hand-written benchmarks produce wrong numbers that lead to incorrect business decisions. BenchmarkDotNet protects you from most of the benchmarking pitfalls and allows you to achieve high measurement precision. -
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Best-of Jupyter
A ranked list of awesome Jupyter Notebook, Hub and Lab projects
This curated list contains 300 awesome open-source projects with a total of 360K stars grouped into 13 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. -
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Best-of Machine Learning with Python
A ranked list of awesome machine learning Python libraries
This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning frameworks. -
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Bloaty
Bloaty: a size profiler for binaries
Bloaty is a deep, accurate size profiler for native binaries that tells you where every byte comes from so you can shrink executables and libraries intelligently. It parses binary formats like ELF, Mach-O, and DWARF symbol/debug data without relying solely on toolchain heuristics, letting you attribute size to files, sections, symbols, templates, and even compilation units. Reports can be produced at multiple granularities and diffed across builds to identify regressions introduced by compiler flags, dependencies, or new code paths. The tool is designed to be fast enough for iterative use in developer workflows and CI, making size budgets enforceable rather than aspirational. It also supports data sources such as symbol tables and map files, combining them into coherent, readable breakdowns. Teams use Bloaty to drive systematic size-reduction efforts in embedded, desktop, and mobile software where startup time, memory footprint, or download size matter. -
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BooruSharp
A C# library to browse Booru websites
BooruSharp is a C# library designed to simplify interaction with booru-style imageboard websites by providing a unified API for retrieving and managing image data across multiple platforms. It abstracts the differences between various booru implementations such as Danbooru, Gelbooru, and others, allowing developers to query posts, tags, and metadata without needing to handle site-specific logic. The library is distributed via NuGet and integrates seamlessly into .NET applications, making it particularly useful for developers building image browsers, bots, or automation tools. It supports a wide range of booru endpoints and exposes structured methods for accessing posts by ID, tags, or hashes, as well as retrieving random images and metadata. Additionally, BooruSharp includes support for related APIs such as comments, favorites, and tag autocomplete, depending on the target site. -
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BotMan
A framework agnostic PHP library to build chat bots
Write your chatbot logic once and connect it to one of the available messaging services, including Amazon Alexa, Facebook Messenger, Slack, Telegram or even your own Website. BotMan is framework agnostic, which means you can use it in your existing codebase, whatever framework you might use. Starting a new chatbot project? BotMan Studio is a Laravel 5.5 boiler project to get you started in no time! BotMan is all about having an expressive, yet powerful syntax that allows you to focus on the business logic, not on framework code. BotMan is a framework agnostic PHP library that is designed to simplify the task of developing innovative bots for multiple messaging platforms, including Slack, Telegram, Microsoft Bot Framework, Nexmo, HipChat, Facebook Messenger and WeChat. -
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Caffeine
A high performance caching library for Java
Caffeine is a high performance Java caching library providing a near optimal hit rate. A Cache is similar to ConcurrentMap, but not quite the same. The most fundamental difference is that a ConcurrentMap persists all elements that are added to it until they are explicitly removed. A Cache on the other hand is generally configured to evict entries automatically, in order to constrain its memory footprint. In some cases a LoadingCache or AsyncLoadingCache can be useful even if it doesn't evict entries, due to its automatic cache loading. To improve integration, JSR-107 JCache and Guava adapters are provided in extension modules. JSR-107 standardizes a Java 6 based API to minimize vendor specific code at the cost of features and performance. Guava's Cache is the predecessor library and the adapters provide a simple migration strategy. Automatic loading of entries into the cache, optionally asynchronously and size-based eviction when a maximum is exceeded based on frequency and recency. -
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CakePHP Chronos
A standalone DateTime library originally based off of Carbon
Chronos focuses on providing immutable date/datetime objects. Immutable objects help ensure that datetime objects aren't accidentally modified keeping data more predictable. Chronos was originally compatible with Carbon but has diverged and no longer extends the PHP DateTime and DateTimeImmutable classes. PHP only offers datetime objects as part of the native extensions. Chronos adds a number of conveniences to the traditional DateTime object and introduces a ChronosDate object. ChronosDate instances their time frozen to 00:00:00 and the timezone set to the server default timezone. This makes them ideal when working with calendar dates as the time components will always match. -
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Calf
Calf is a library that allows you to easily create adaptive UIs
Calf is a library that allows you to easily create adaptive UIs for your Compose Multiplatform apps. -
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CasADi
CasADi is a symbolic framework for numeric optimization
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT, etc. It can be used in C++, Python, or Matlab/Octave. CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and Hessians. These expression graphs, encapsulated in Function objects, can be evaluated in a virtual machine or exported to stand-alone C code. Initial value problems in ordinary or differential-algebraic equations (ODE/DAE) can be calculated using explicit or implicit Runge-Kutta methods or interfaces to IDAS/CVODES from the SUNDIALS suite. Derivatives are calculated using sensitivity equations, up to arbitrary order. -
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Cheshire
Clojure JSON and JSON SMILE (binary json format) encoding/decoding
Cheshire is a high-performance JSON encoding and decoding library for Clojure, built atop Jackson to combine fast parsing/generation with advanced support for types like Dates, UUIDs, Sets, Symbols, and the binary JSON SMILE format. Custom encoding is supported from 2.0.0 and up if you encounter a bug, please open a GitHub issue. From 5.0.0 onwards, custom encoding has been moved to be part of the core namespace (not requiring a namespace change). Custom and Core encoding have been combined in Cheshire 5.0.0, so there is no longer any need to require a different namespace depending on what you would like to use. Cheshire will automatically use a BigInteger if needed for non-floating-point numbers. -
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ClashN
A clash client for Windows, support Mihomo
clashN is a Windows desktop client for the Clash networking engine, providing a graphical interface to manage proxies, rules, and profiles. It wraps the Clash core in a familiar, configurable UI so users can import subscriptions, switch nodes, and observe connections without editing YAML by hand. The app emphasizes rule-based routing, letting you combine rule providers and policy groups to steer traffic by domain, process, or destination category. System-wide proxy control, including PAC and TUN/TAP options, helps route applications that don’t natively support proxies. Logs, traffic charts, and connection inspectors make troubleshooting and optimization straightforward. For power users, granular profile editing and hot-reloading reduce the friction of iterating on configurations. -
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ContextMenu
You can easily add awesome animated context menu to your app
You can easily add awesome animated context menu to your app. -
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Contour
Modern C++ Terminal Emulator
contour is a modern and actually fast, modal, virtual terminal emulator, for everyday use. It is aimed at power users with a modern feature mindset. Available on all 4 major platforms, Linux, OS/X, FreeBSD, Windows. GPU-accelerated rendering. Font ligatures support (such as in Fira Code). Unicode: Emoji support (-: 🌈 💝 😛 👪 - including ZWJ, VS15, VS16 emoji :-) Unicode: Grapheme cluster support. Bold and italic fonts. High-DPI support. Vertical Line Markers (quickly jump to markers in your history!) Vi-like input modes for improved selection and copy'n'paste experience and Vi-like scrolloff feature. Blurred behind transparent background when using Windows 10 or KDE window manager on Linux. Blurrable Background image support. Runtime configuration reload. 256-color and Truecolor support. Key binding customization. -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
CoolplaySpark is a learning and practice repository designed to help users understand and work with Apache Spark. It serves as a companion resource for the book 深入理解Spark核心思想与源码分析 (In-Depth Understanding of Spark’s Core Concepts and Source Code Analysis). The project contains annotated examples, explanations, and exercises that guide learners through Spark’s architecture, execution model, and source code internals. It is particularly valuable for developers who want to strengthen their understanding of Spark by not only using it as a data processing engine but also exploring how its internals function. Through code analysis and commentary, CoolplaySpark helps readers connect theoretical concepts with practical implementation details. By combining book study with this repository, learners can develop both conceptual clarity and hands-on expertise in Spark’s core components.
