Open Source Windows Frameworks
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Frameworks for Windows
View 96 business solutionsBrowse free open source Frameworks and projects for Windows below. Use the toggles on the left to filter open source Frameworks by OS, license, language, programming language, and project status.
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The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
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Visual Basic 6.0 Runtime Plus
The complete and extended version of Visual Basic 6.0 runtime library
This is the complete package of runtime files and redistributable libraries for running or distributing applications written in Visual Basic 6.0 and together with some third-party redistributable components. Notes and Disclaimer: * Visual Basic 6.0 is a trademark of Microsoft Corporation. * All trademarks and components are owned by their respective owners. * The developer's scope was the collection of VB6 redistributables and creation of installer only. * Use at your own risk, the developers was not responsible for any damages for using this software. -
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Kivy
Innovative user interfaces made easy
Kivy is an open source, cross-platform UI framework that lets you develop applications that make use of innovative, multi-touch user interfaces. Written in Python with a graphics engine built over OpenGL ES 2, Kivy supports various input devices and protocols, and gives you access to over 20 widgets that are all highly extensible and have built-in multi-touch support. You can run the same codebase on Mac, Windows, Linux, Android and iOS. Kivy is 100% free and open source with a professionally developed and used toolkit, as well as a stable framework and well-documented API, so you can be confident in using it in a commercial product. -
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Ultroid
Telegram UserBot, Built in Python Using Telethon lib
Ultroid, a pluggable telegram userbot, made in python using Telethon! Ultroid has been written from scratch, making it more stable and less crashes. Ultroid warns you when you try to install/execute dangerous stuff (people nowadays make plugins to hack user accounts, Ultroid is safe). Unlike many others userbots that are being suspended by Heroku, Ultroid doesn't get suspended. Ultroid has been written from scratch, making it more stable and less of crashes. Error handling been done in the best way possible, such that the bot doesn't crash and stop all of a sudden. Ultroid has minimal amount of plugins (just the necessary ones) in the main repository, and all the other less-useful stuff in the addons repository. This facilitates quick deployments and lag-free use. Ultroid can install any plugin from the most of the other 'userbots' without any issue. -
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U++
C++ framework with an ide.
U++ is BSD licensed C++ cross-platform rapid application development framework focused on programmers productivity without sacrificing runtime performance. Based on strictly deterministic design it provides an alternative to GC collected platforms. -
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Darknet
Convolutional Neural Networks
Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community. -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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QtAV
A multimedia framework based on Qt and FFmpeg
QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc -
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Win32++ is a C++ library used to build windows applications. It is a simple, open source alternative to MFC. Win32++ supports the C++ compilers from GNU and Microsoft. It is an ideal starting point for anyone learning to program for windows, but also caters for the needs of professional developers.
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socket.io
Realtime application framework (Node.JS server)
socket.io is a JavaScript library that allows for realtime, bi-directional communication between web clients and servers. It is composed of two parts: a Node.js server and a JavaScript client library that runs in the browser. socket.io is focused on both reliability and speed, delivering an immensely powerful, fast and yet easy to use realtime engine that’s used by just about everyone: from Microsoft Office and Zendesk to hackathon winners and small startups. It’s considered one of the most depended-upon npm modules, and works on every platform, browser or device. -
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PyGObject for Windows
All-In-One PyGI/PyGObject for Windows Installer
Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit. -
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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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Rasa
Open source machine learning framework to automate text conversations
Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed. Rasa enables you to build assistants that can do this in a scalable way. Rasa uses Poetry for packaging and dependency management. If you want to build it from the source, you have to install Poetry first. By default, Poetry will try to use the currently activated Python version to create the virtual environment for the current project automatically. -
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Nana C++ Library
A modern C++ GUI library
Nana C++ Library takes aim at easy-to-use and portable library, it provides a GUI framework and threads for easy programming with modern C++ methods, such as traits, metaprogramming and other template technologies. Documentation http://nanapro.org/en-us/documentation Feel free to report a bug at https://github.com/cnjinhao/nana/issues -
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Apache Shiro
Apache Shiro
Apache Shiro is a powerful and easy-to-use Java security framework that performs authentication, authorization, cryptography, and session management. With Shiro’s easy-to-understand API, you can quickly and easily secure any application, from the smallest mobile applications to the largest web and enterprise applications. -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. It’s been used in numerous projects, from startup prototypes and academic research projects, to large scale industrial applications. -
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Cecil
Cecil is a library to inspect, modify and create .NET programs
Cecil is a library to inspect, modify and create .NET programs and libraries. Mono.Cecil is a library to generate and inspect programs and libraries in the ECMA CIL form. Analyze .NET binaries using a simple and powerful object model, without having to load assemblies to use Reflection. Modify .NET binaries, add new metadata structures and alter the IL code. Cecil has been around since 2004 and is widely used in the .NET community. If you're using Cecil, or depend on a framework, project, or product using it, please consider sponsoring Cecil. Cecil 0.10 beta 5 addresses a long standing issue: previously, a rewrite of native pdb files would lose some debugging information, including the list of namespaces that were used in methods (and thus breaking the expression evaluation) or the scopes in generators (for iterators or async methods). -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy. -
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A minimal C++ framework for plug-in management. Small, cross-platform and simple to use.
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its state. Each device’s shadow is uniquely identified by the name of the corresponding “thing”, a representation of a specific device or logical entity on the AWS Cloud. See Managing Devices with AWS IoT for more information on IoT "thing". More details about AWS IoT Device Shadow can be found in AWS IoT documentation. This library is distributed under the MIT Open Source License. -
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SimplePie
A simple Atom/RSS parsing library for PHP
SimplePie is a very fast and easy-to-use feed parser, written in PHP, that puts the 'simple' back into 'really simple syndication. Flexible enough to suit beginners and veterans alike, SimplePie is focused on speed, ease of use, compatibility, and standards compliance. SimplePie is currently maintained by Malcolm Blaney. Get easy access to SimplePie directly from your web browser! We've worked extra hard to ensure that SimplePie is easy to use and easy to understand. That being said, it never hurts to get a little help to speed things up! We've got a collection of tips, tricks, tutorials, and screencasts to help you along the way! Looking to integrate SimplePie into your blogs, wikis, forums, or other sites? The SimplePie Community has created several plugins that allow you to use SimplePie with all sorts of other software! Check our SimplePie Plugins page for a list of what we're aware of. -
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VvvebJs
Drag and drop website builder javascript library
Drag and drop website builder javascript library. Components and blocks/snippets drag and drop. Undo/Redo operations. One or two panels interface. File manager and component hierarchy navigation. Add a new page. Live code editor. Image upload with example PHP script included. Page download or export HTML or save the page on the server with example PHP script included. Components/Blocks list search. Bootstrap 4 components. Youtube, Google maps, Charts.js, etc widgets. By default, the editor comes with Bootstrap 4 and Widgets components and can be extended with any kind of components and inputs. -
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LCUI
A small C library for building user interfaces with C, XML and CSS
Build simple desktop apps with C, XML and CSS. LCUI is a simple GUI library, it is written in C, supports XML and CSS, you can use C, XML and CSS to build simple desktop applications, at present it is mainly supported by Windows, subsequent versions will improve support for Linux. If you have web development experience, then the use of LCUI will be easier to get started, because LCUI's XML, CSS, and element layout processing effects are similar to web browser, you can refer to the sample code on the left to learn about the effect. Supports the use of XML and CSS to describe the GUI layout and style, saving interface development time and maintenance costs. Support for Windows and Linux, you can write Windows Desktop apps and Universal Windows Platform apps, as well as Linux Desktop apps. To get started with LCUI, you can using lcui-cli to create an LCUI project, then compile and run it. -
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MEAN
For simple and scalable fullstack js applications
The MEAN stack uses Mongo, Express, Angular(6) and Node for simple and scalable fullstack js applications. The mean stack is intended to provide a simple and fun starting point for cloud native fullstack javascript applications. MEAN is a set of Open Source components that together, provide an end-to-end framework for building dynamic web applications; starting from the top (code running in the browser) to the bottom (database). The stack is made up of MongoDB, with document database, used by your back-end application to store its data as JSON (JavaScript Object Notation) documents. Also with Express (sometimes referred to as Express.js), with back-end web application framework running on top of Node.js. As well as Angular (formerly Angular.js), which is a front-end web app framework that runs your JavaScript code in the user's browser, allowing your application UI to be dynamic. -
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Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding.