Open Source C++ Runtimes
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C++ Runtimes
View 6107 business solutionsBrowse free open source C++ Runtimes and projects below. Use the toggles on the left to filter open source C++ Runtimes by OS, license, language, programming language, and project status.
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MinGW-w64 - for 32 and 64 bit Windows
A complete runtime environment for gcc
The mingw-w64 project is a complete runtime environment for gcc to support binaries native to Windows 64-bit and 32-bit operating systems. -
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Bun
Incredibly fast JavaScript runtime, bundler, test runner
Develop, test, run, and bundle JavaScript & TypeScript projects—all with Bun. Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node. js-compatible package manager. Bun is a new JavaScript runtime built from scratch to serve the modern JavaScript ecosystem. Bun starts fast and runs fast. It extends JavaScriptCore, the performance-minded JS engine built for Safari. As computing moves to the edge, this is critical. Bun provides a minimal set of highly optimized APIs for performing common tasks, like starting an HTTP server and writing files. Bun is a complete toolkit for building JavaScript apps, including a package manager, test runner, and bundler. Bun is designed as a drop-in replacement for Node.js. It natively implements hundreds of Node.js and Web APIs, including fs, path, Buffer and more. -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Support for a variety of frameworks, operating systems and hardware platforms. Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training. -
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Node.js
Cross-platform JavaScript runtime environment
Node.js is a free, open-source, cross-platform JavaScript runtime environment that allows developers to run JavaScript outside of the browser. It is built on Chrome’s V8 engine and is designed for building fast, scalable network applications. Node.js enables developers to create servers, APIs, command-line tools, and full-stack web applications using a single programming language. Its non-blocking, event-driven architecture makes it highly efficient for handling concurrent requests. The ecosystem is supported by npm, one of the largest package managers, providing access to thousands of libraries and tools. Node.js is widely used for backend development, real-time applications, and microservices architectures. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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OpenVR SDK
API and runtime that allows access to VR hardware
OpenVR is an API and runtime that allows access to VR hardware from multiple vendors without requiring that applications have specific knowledge of the hardware they are targeting. This repository is an SDK that contains the API and samples. The runtime is under SteamVR in Tools on Steam. The OpenVR API provides a game with a way to interact with Virtual Reality displays without relying on a specific hardware vendor's SDK. It can be updated independently of the game to add support for new hardware or software updates. This means that you can access the position of the headset using only one API call and it works for all headset brands (Oculus, Mixed Reality, Vive, etc)! The API is implemented as a set of C++ interface classes full of pure virtual functions. When an application initializes the system it will return the interface that matches the header in the SDK used by that application. -
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WasmEdge
Extensible WebAssembly runtime for cloud native applications
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime. It is the fastest Wasm VM today. WasmEdge is an official sandbox project hosted by the CNCF. Its use cases include modern web application architectures (Isomorphic & Jamstack applications), microservices on the edge cloud, serverless SaaS APIs, embedded functions, smart contracts, and smart devices. The WasmEdge Runtime provides a well-defined execution sandbox for its contained WebAssembly bytecode program. The runtime offers isolation and protection for operating system resources (e.g., file system, sockets, environment variables, processes) and memory space. The most important use case for WasmEdge is to safely execute user-defined or community-contributed code as plug-ins in a software product (e.g., SaaS, software-defined vehicles, edge nodes, or even blockchain nodes). It enables third-party developers, vendors, suppliers, and community members to extend and customize the software product. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. With new NVIDIA Ampere Architecture GPUs, TensorRT also leverages sparse tensor cores providing an additional performance boost. -
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Android Runtime for NativeScript
NativeScript for Android using v8
Contains the source code for the NativeScript's Android Runtime. NativeScript is a framework that enables developers to write truly native mobile applications for Android and iOS using JavaScript and CSS. Each mobile platform has its own ecosystem and offers completely different development tools and language(s) - Java for Android and Objective C (Swift) for iOS. In order to translate JavaScript code to the corresponding native APIs some kind of proxy mechanism is needed. This is exactly what the "Runtime" parts of NativeScript are responsible for. The Android Runtime may be thought of as "The Bridge" between the JavaScript and Android worlds. A NativeScript application for Android is a standard native package (apk) that besides the JavaScript files embeds the runtime as well. -
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CoreCLR
Runtime for .NET Core
CoreCLR is the runtime for .NET Core, an open source, general purpose development platform maintained by Microsoft and the .NET community. It is a cross-platform runtime for cloud, IoT, and desktop apps and includes a just-in-time compiler called RyuJIT. -
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GraphQL for .NET
This is an implementation of Facebook's GraphQL in .NET
GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data. A GraphQL service is created by defining types and fields on those types, then providing functions for each field on each type. All packages generated from this repository come with embedded pdb and support Source Link. If you are having difficulty understanding how the code works or have encountered an error, then it is just enough to enable Source Link in your IDE settings. Then you can debug GraphQL.NET source code as if it were part of your project. The Schema first approach relies upon the GraphQL schema language, coding conventions, and tries to provide a minimal amount of syntax. It is the easiest to get started though it does not currently support some advanced scenarios. -
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Mozart-Oz Programming System
Runtime and development environment of Oz
The Mozart Programming System is an open source implementation of the programming language Oz 3. Oz is a multi-paradigm language that supports declarative programming, object-oriented programming, constraint programming, concurrency and distributed programming as part of a coherent whole. -
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OpenPEARL
PEARL Compiler and Runtime System
PEARL is a high level procedural programming language, which was especially designed for the demanding need to have an expressive and comfortable language for solving multitasking problems when controlling technincal processes. PEARL is an abbreviation for "(P)rocess and (E)xperiment (A)utomation (R)ealtime (L)anguage". It was designed around 1975 at the IRT Institute of the Leibniz University in Hannover with the idea in mind to have an easy to learn programming language for realtime problems. For more, also historical information please visit (http://www.pearl90.de/). In 1998 PEARL-90 was standardized by the Deutsches Institut für Normung e.V. in DIN 66253-2. PEARL provides the standard data types and structures known from other procedural languages like e.g. PASCAL. Additionally PEARL brings special language constructs for managing real-time and multitasking tasks. -
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The C++ Advanced Runtime Library (CARL) is an alternative to the C/C++ standard libraries aiming at the high-level APIs and easy usage.
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The NT POSIX C Runtime Library is an IEEE standard runtime library for the NT POSIX subsystem. It can be used as a complete replacement or a side by side alternative for what is shipped with the Interix SDK.
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Napa.js
Napa.js, a multi-threaded JavaScript runtime
Napa.js is a multi-threaded JavaScript runtime built on V8, which was originally designed to develop highly iterative services with non-compromised performance in Bing. As it evolves, we find it useful to complement Node.js in CPU-bound tasks, with the capability of executing JavaScript in multiple V8 isolates and communicating between them. Napa.js is exposed as a Node.js module, while it can also be embedded in a host process without Node.js dependency. Multi-threaded JavaScript runtime. Node.js compatible module architecture with NPM support. API for object transportation, object sharing and synchronization across JavaScript threads. API for pluggable logging, metric and memory allocator. Distributed as a Node.js module, as well as supporting embed scenarios. Most of the time, there is no need to build Napa.js. When consuming Napa.js via npm install napajs, npm will first try to download the pre-build binaries for the current platform. -
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ORP, Open Runtime Platform, is an open source research infrastructure for dynamic compilation and memory management. The current implementation supports programs compiled to bytecode and linked with the GNU Classpath libraries.
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workerd
The JavaScript / Wasm runtime that powers Cloudflare Workers
workerd is the server runtime that powers Cloudflare Workers — a modern, standards-aligned JavaScript and WebAssembly execution environment that can be run outside of Cloudflare’s global edge network as a standalone server or proxy. Designed to host serverless applications written to the Workers platform API (including fetch() and Web standard libraries), workerd enables developers to self-host edge-style workloads in local data centers or development environments, or to test Workers code offline before deploying to the cloud. It emphasizes performance, predictable deployment semantics, and secure isolation, and it uses a capability-based configuration model to bind external resources and services into worker applications in a composable way. The architecture promotes homogeneous deployment of “nanoservices,” which are lightweight components that can be distributed and scaled without complex orchestration, and it supports backward compatibility.
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