Search Results for "performance" - Page 13
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Showing 497 open source projects for "performance"
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Yandex Tank
Load and performance benchmark tool
...Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend service: Overload. Store and analyze your test results online. Several ammo formats are supported like plain URL list or access.log. Test autostop plugin: stop your test when the results have become obvious and save time. Customizable and extendable monitoring that works over SSH. -
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Tracing Framework
Web Tracing Framework libraries and extensions
The Web Tracing Framework (WTF) is an open source suite of tools, libraries, and visualizers created by Google to help developers analyze and optimize the performance of complex web applications. By adding lightweight instrumentation to their code, developers can trace execution flow, identify bottlenecks, and detect performance regressions. The framework provides fine-grained insights into application behavior, making it particularly useful for achieving smooth, high-performance experiences, such as maintaining 60fps animations in web interfaces. ... -
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Network Function Framework for Go
NFF-Go -Network Function Framework for GO (former YANFF)
NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath. Contact us if you need help. -
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Artemis-odb
A continuation of the popular Artemis ECS framework
...Expand your toolkit! Easy migration from Artemis clones. Optionally auto-pooled components and hotspot optimization via compile-time bytecode instrumentation. High performance, GC-friendly, less boilerplate! Automatic tracking, and maintenance of entity relationships. -
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Apache Weex
A framework for building Mobile cross-platform UI
Weex is a framework for building performant mobile apps with modern web technology. Weex is using native components and native modules to take advantage of native rendering performance and platform capabilities. Both components and modules are pluggable and extendable. You can use a single codebase to generate different bundle files to running on both Webs, Android and iOS platforms. Native components and modules have a different implementation on each platform, but they all exposed the same API. Weex embraces the existing Web ecosystem, you can use modern front-end technology to develop your mobile apps. ... -
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SwiftSVG
A simple, performant, and lightweight SVG parser
SwiftSVG is not meant to be a full SVG parser. The library supports the most common use cases of flat, solid-color SVG elements. It supports grouping and transformations and can parse all path and shape elements. The best use case for SwiftSVG is for flat icons that you may want to theme at runtime and have good control over. Think icons for your app, especially if you offer light and dark themes. The library can handle complex paths, and more importantly can handle them quickly, so you can... -
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Turbo
Turbo is a framework built for LuaJIT 2
...But the framework contains generic nuts and bolts such as; an I/O loop, IO Stream classes, and customizable TCP (with SSL) server classes giving it value for everyone doing any kind of high-performance network application. -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely eliminate computing/storage/communication hotspots of ps. Complete streaming training features including feature admission, feature elimination, model incremental export, feature counting statistics, etc. ... -
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Blink
A high performance web framework and application server in PHP
...In php-fpm or mod_php, all resources like objects and database connections only live within a single request, all these resources will be freed once the request terminates. This works fine with simple applications without much traffic, but for large scale applications, the performance impact of reallocating resources on every request is really huge. -
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RefineNet
RefineNet: Multi-Path Refinement Networks
...It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. The repository supports both single-scale and multi-scale prediction, with scripts for training, testing, and evaluating segmentation performance. While this codebase is specific to MATLAB and MatConvNet, a PyTorch implementation and lighter-weight variants are also available from the community. -
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GoJay
high performance JSON encoder/decoder with stream API for Golang
GoJay is a performant JSON encoder/decoder for Golang (currently the most performant, see benchmarks). It has a simple API and doesn't use reflection. It relies on small interfaces to decode/encode structures and slices. Gojay also comes with powerful stream decoding features and an even faster Unsafe API. There is also a code generation tool to make usage easier and faster. I looked at other fast decoders/encoders and realized it was mostly hardly readable static code generation or a lot of... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
...The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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VasSonic
Hybrid framework to speed up the first screen of websites
VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. -
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React Boilerplate
A highly scalable, offline-first foundation with the best DX
React Boilerplate is a highly scalable, offline-first foundation for React.js applications. It offers the best developer experience with a focus on performance and best practices. React Boilerplate offers predictable state management so you can take control of your app’s state and keep state mutations manageable. It also features next generation JavaScript, so you can stop worrying about browser support or use features like arrow functions, JSX syntax and more. There’s also support for next generation CSS, and being offline first, it allows availability without network connection from the moment your users load the app. ... -
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V8 JavaScript Engine
The official mirror of the V8 Git repository
V8 is Google’s high-performance, open-source JavaScript and WebAssembly engine written in C++, powering Chrome, Node.js, and embedded in many environments. It implements ECMAScript and WebAssembly standards with optimizations for speed and resource efficiency. V8 is Google's open source JavaScript engine. V8 implements ECMAScript as specified in ECMA-262. V8 is written in C++ and is used in Google Chrome, the open source browser from Google. -
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Hprose
Hprose is a cross-language RPC. This project is Hprose 3.0 for PHP
Hprose (High Performance Remote Object Service Engine) is a lightweight and high-speed RPC (Remote Procedure Call) framework for PHP. It allows applications to call methods on remote servers as if they were local, using a cross-language protocol. Hprose supports multiple transport layers and is designed to be easy to use, efficient, and extensible across different platforms and languages. -
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mORMot
Synopse mORMot 1 ORM/SOA/MVC framework
mORMot is a high-performance, full-stack framework for Delphi and Free Pascal that includes an ORM, REST server, and RPC system. It enables developers to build scalable, database-driven applications with strong typing and minimal boilerplate. mORMot is designed for speed, cross-platform compatibility, and seamless integration between client and server code. -
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Wally
Distributed Stream Processing
...Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API. -
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Web Frameworks
Which is the fastest web framework?
There are many frameworks, each one comes with its own advantages and drawbacks. The purpose of this project is to identify them and attempt to measure their differences (performance is only one metric). A framework is a set of components working together. The main intention behind a framework is to facilitate (app or service) creation. The way a framework helps any developer may vary from one to another. Full-stack meaning it provides all aspects (-stacks-) from data layer to sometimes deployment. Micro meaning it provides only the routing part, and let the developer choose any other component for the others. ... -
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Maru
Elixir RESTful Framework
...Error handling, helpers, and content negotiation are wired into the DSL, so common cross-cutting concerns are consistent across endpoints. Because Maru sits on Plug and Cowboy, it retains Elixir’s performance and concurrency while making API development fast and readable. -
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fooltrader
Quant framework for stock
...Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way. -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Om
ClojureScript interface to Facebook's React
Om is a ClojureScript UI framework that builds on Facebook’s React, offering a client/server architecture with features like snapshotable and undoable UIs, inspired by React's Relay and Netflix's Falcor, plus Datomic-like querying for simplified state management. Om borrows ideas liberally from Facebook's Relay and Netflix's Falcor, with a dash of inspiration from Datomic pull syntax to avoid the typical incidental complexity that arises from client/server state management. There is a Quick... -
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Realize
Realize is the #1 Golang Task Runner which enhance your workflow
Realize is the #1 Golang Task Runner which enhances your workflow by automating the most common tasks and using the best-performing Golang live reloading. High-performance Live Reload. Manage multiple projects at the same time. Watch by custom extensions and paths. All Go commands are supported. Switch between different Go builds. Custom env variables for the project. Execute custom commands before and after file changes or globally. Export logs and errors to an external file. Step-by-step project initialization. ... -
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Mocha.jl
Deep Learning framework for Julia
...It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels directly in Julia and general auto-differentiation supports, the Mocha codebase becomes excessively old and primitive. Reworking Mocha with new technologies requires some non-trivial efforts, and new exciting solutions already exist nowadays, it is a good time for the retirement of Mocha.jl. ...
