Search Results for "unit-api" - Page 3
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Showing 842 open source projects for "unit-api"
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Sming
Open source framework simplifying the creation of C++ applications
...Integrated host emulator to assist with developing, testing, and debugging libraries and applications on a PC before uploading them to an actual microcontroller. Built-in powerful wireless modules. Compatible with standard Libraries use popular hardware in a few lines of code. Simple yet powerful hardware API wrappers. HardwareSPI library provides advanced asynchronous SPI device master capability including the use of ESP8266 ‘overlapped’ mode for reduced pin usage and dual/quad I/O support. Modular C++ installable file system interface. -
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spdlog
Fast C++ logging library
spdlog is a header only library. Just copy the files under include to your build tree and use a C++11 compiler. It provides a python like formatting API using the bundled fmt lib. spdlog takes the "include what you need" approach, your code should include the features that actually needed. For example, if you only need rotating logger, you need to include "spdlog/sinks/rotating_file_sink.h". spdlog provides various log targets, which are, rotating log files, daily log files, console logging (colors supported), syslog, Windows event log, and Windows debugger (OutputDebugString(..)). ... -
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Skiko
Kotlin Multiplatform bindings to Skia
Skiko is an open-source graphics library from JetBrains that provides lightweight, cross-platform bindings for the Skia graphics engine tailored specifically for Kotlin Multiplatform and Compose applications. It serves as the low-level rendering backbone for Kotlin UI frameworks like Compose for Desktop and Compose for Web, enabling smooth, GPU-accelerated 2D graphics across Windows, macOS, Linux, and other supported targets without writing native code. Skiko abstracts away platform-specific... -
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SIMD
C++ wrappers for SIMD intrinsics
...SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage complex, which xsimd addresses by offering a unified API that maps efficiently to underlying hardware capabilities. The library supports a wide range of instruction sets, including SSE, AVX, NEON, and WebAssembly SIMD, ensuring portability across platforms. It provides vectorized implementations of common mathematical operations, allowing developers to operate on batches of values using familiar syntax. xsimd is widely adopted in performance-critical applications. -
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ccapi
A header-only C++ library for interacting with crypto exchanges
A header-only C++ library for streaming market data and executing trades directly from cryptocurrency exchanges (i.e. the connections are between your server and the exchange server without anything in-between). -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. -
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DearPyGui
Graphical User Interface Toolkit for Python with minimal dependencies
...DPG offers a solid framework for developing scientific, engineering, gaming, data science and other applications that require fast and interactive interfaces. The Tutorials will provide a great overview and links to each topic in the API Reference for more detailed reading. Complete theme and style control. GPU-based rendering and efficient C/C++ code. -
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Yoga
Cross-platform layout engine which implements Flexbox
Build flexible layouts on any platform with a highly optimized open source layout engine designed with speed, size, and ease of use in mind. Yoga already powers widely used open source frameworks. It enables these frameworks to offer a simple and intuitive layout API that allows for engineers to collaborate more easily across platforms. Yoga has unlocked exciting features such as calculating layouts off of the main thread to help ensure smooth UI performance. Yoga was built to be fast and performance will always be one of Yoga's primary goals. For a layout engine to be able to power any range of applications, it needs to be fast and never stand in the way of a fluid user experience. ... -
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IRremoteESP8266
Infrared remote library for ESP8266/ESP32
Infrared remote library for ESP8266/ESP32. Send and receive infrared signals with multiple protocols. This library enables you to send and receive infra-red signals on an ESP8266 or an ESP32 using the Arduino framework using common 940nm IR LEDs and common IR receiver modules. e.g. TSOP{17,22,24,36,38,44,48} demodulators etc. Usage of the library has been slightly changed in v2.0. You will need to change your usage to work with v2.0 and beyond. You can read more about the changes required on... -
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NeoPixelBus
An Arduino NeoPixel support library
An Arduino NeoPixel support library supports a large variety of individually addressable LEDs. Please refer to the Wiki for more details. Please use the gitter channel to ask questions as the GitHub Issues feature is used for bug tracking. A library to control one wire protocol RGB and RGBW LEDs like APA106, SK6812, WS2811, WS2812, and WS2813 that are commonly referred to as NeoPixels and two-wire protocol RGB like Lpd8806, APA102, and SK9822 commonly referred to as DotStars. Supports most... -
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Google Highway
Performance-portable, length-agnostic SIMD with runtime dispatch
Google Highway is a high-performance C++ library designed to provide portable SIMD (Single Instruction, Multiple Data) vectorization across multiple CPU architectures while maintaining predictable and efficient behavior. It abstracts low-level vector intrinsics into a consistent API that maps closely to hardware instructions, allowing developers to write high-performance code without relying heavily on compiler auto-vectorization. Highway enables the same source code to run across different platforms and instruction sets, including architectures with scalable vector lengths, which are not known at compile time. ... -
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Restbed
Restbed framework brings asynchronous RESTful functionality
...A technique allowing multiple HTTP requests to be sent on a single TCP connection without waiting for the corresponding responses. Asynchronous single or multi-threaded architecture, capable of addressing the C10K problem. High-quality documentation covering the architecture and API. Filter incoming HTTP requests by headers. Customize how and where log entries are created. Give a resource multiple paths for improved readability. -
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Greenworks
A node.js plugin to integrate nw.js/electron games with steamworks
...Since then, it has been open-sourced and is used in many other projects. Currently, Greenworks supports node v0.8, v0.10, v0.12, v4, v5, v6, v7, v8, v9 and v10. Guides and the API references are located in docs directory. Greenworks is published under the MIT license. Greenworks is built using Native Abstractions for Node.js to support different node versions. The project is currently funded by Greenheart Games and other donors. -
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frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can... -
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DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,... -
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mlpack
mlpack: a scalable C++ machine learning library
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear... -
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OpenSpiel
Environments and algorithms for research in general reinforcement
...OpenSpiel also includes tools to analyze learning dynamics and other common evaluation metrics. Games are represented as procedural extensive-form games, with some natural extensions. The core API and games are implemented in C++ and exposed to Python. Algorithms and tools are written both in C++ and Python. To try OpenSpiel in Google Colaboratory, please refer to open_spiel/colabs subdirectory. -
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Cinder
Community-developed library for professional-quality creative coding
Cinder is a free and open source library for professional-quality creative coding in C++. Cinder is available under the BSD License for macOS and Windows. The latest version is 0.9.2. To keep up-to-date with Cinder’s development, consider working from the github repository directly. Cinder is a C++ library for programming with aesthetic intent - the sort of development often called creative coding. This includes domains like graphics, audio, video, and computational geometry. Cinder is... -
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Halide
A language for fast, portable data-parallel computation
...It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. This representation can then be compiled to an object file, or a JIT-compile and run in the same process. Halide also comes with a Python binding, allowing the writing of Halide embedded in Python without C++. -
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
...On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. The team regularly updates it with performance improvements; for example, a 2025 update claims 5 % to 15 % gains on compute-bound workloads while maintaining API compatibility. -
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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. -
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Unified Communication X
Communication framework for data-centric high-performance applications
...UCX exposes a set of abstract communication primitives which utilize the best of available hardware resources and offloads. These include RDMA (InfiniBand and RoCE), TCP, GPUs, shared Memory, and network atomic operations. UCX facilitates rapid development by providing a high-level API, masking the low-level details, while maintaining high-performance and scalability. UCX implements best practices for transfer of messages of all sizes, based on accumulated experience gained from applications running on the world’s largest datacenters and supercomputers. -
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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... -
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log4cplus
Logging Framework for C++
log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API. -
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QP Real-Time Event Frameworks & Tools
Real-Time Event Frameworks based on active objects & state machines
...The matching QM model-based design tool and other host-based tools complement the QP frameworks by supporting graphical modeling, code generation, software tracing, and unit testing for event-driven embedded software. Visit https://www.state-machine.com for more information. The QP RTEFs can run on bare-metal microcontrollers, replacing a traditional RTOS. The frameworks contain a selection of built-in real-time kernels (RTOS kernels), such as the cooperative QV kernel, the preemptive non-blocking QK kernel, and the unique preemptive, dual-mode (blocking/non-blocking) QXK kernel. ...
