Showing 1869 open source projects for "performance"

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  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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  • 1
    The Lift Web Framework
    ...Lift apps are resistant to common vulnerabilities including many of the OWASP Top 10. Lift apps are fast to build, concise and easy to maintain. Lift apps are high-performance and scale in the real world to handle insane traffic levels. Lift's Comet support is unparalled and Lift's ajax support is super-easy and very secure. Because Lift applications are written in Scala, an elegant JVM language, you can still use your favorite Java libraries and deploy to your favorite Servlet Container and app server. ...
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  • 2
    ember-engines

    ember-engines

    Composable Ember applications for ambitious user experiences

    Engines allow multiple logical applications to be composed together into a single application from the user's perspective. The key term here is "logical application". That is, an Engine represents a set of functionality and user experiences that could logically be considered an application. However, they differ from normal Ember applications in that they are intended to be composed within a host application in order to create a single, cohesive user experience. On a technical level, engines...
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  • 3
    Ladle

    Ladle

    Develop, test and document your React story components faster

    ...No configuration needed but still customizable. Ladle is a single dependency and command. Batteries included. Ladle supports only React, embraces the latest standards (ES Modules) and focuses on performance. It's built around Vite - modules are directly served to the browser and the bundling step is completely skipped. This means instant server starts no matter how many components it needs to load.
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  • 4
    Django Cachalot

    Django Cachalot

    No effort, no worry, maximum performance

    Caches your Django ORM queries and automatically invalidates them. Cachalot officially supports Python 3.7-3.10 and Django 2.2, 3.2, and 4.0-4.1 with the databases PostgreSQL, SQLite, and MySQL. Note: an upper limit on Django version is set for your safety. Please do not ignore it. To start developing, install the requirements and run the tests via tox. Currently, benchmarks are supported on Linux and Mac/Darwin. You will need a database called "cachalot" on MySQL and PostgreSQL....
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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  • 5
    Opacus

    Opacus

    Training PyTorch models with differential privacy

    Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the client, has little impact on training performance, and allows the client to online track the privacy budget expended at any given moment. Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source, modular API for differential privacy research. ...
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  • 6
    DALI

    DALI

    A GPU-accelerated library containing highly optimized building blocks

    ...Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding, cropping, resizing, and many other augmentations. These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference. DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline.
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  • 7
    AWS ParallelCluster Node

    AWS ParallelCluster Node

    Python package installed on the Amazon EC2 instances

    aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ...
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  • 8
    cocoyaxi

    cocoyaxi

    A go-style coroutine library in C++11 and more

    ...It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores. Shared stack, coroutines in the same thread share several stacks (the default size is 1MB), and the memory usage is low. ...
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  • 9
    JavaCPP

    JavaCPP

    The missing bridge between Java and native C++

    JavaCPP provides efficient access to native C++ inside Java, not unlike the way some C/C++ compilers interact with assembly language. No need to invent new languages such as with SWIG, SIP, C++/CLI, Cython, or RPython. Instead, similar to what cppyy strives to do for Python, it exploits the syntactic and semantic similarities between Java and C++. Under the hood, it uses JNI, so it works with all implementations of Java SE, in addition to Android, Avian, and RoboVM (instructions). More...
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  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

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  • 10
    YAF.NET

    YAF.NET

    YAF.NET - C# ASP.NET Forum

    ...During that time, the application has been thoroughly tested. Since the code has been freely available for 9 years, there is nothing to hide and no stone has been left unturned. YAF.NET performance is top-notch. Most long queries are cached. Even for forums with a large number of users and posts, YAF.NET can handle the job quickly with modest hosting requirements. YAF.NET forum is an embeddable (ascx) user-control and supports ASP.NET Membership making integration into DNN and custom solutions possible. YAF.NET is used throughout the globe. ...
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  • 11
    dnd kit

    dnd kit

    Accessible and extensible drag & drop toolkit for React

    Use hooks to turn your components into draggable elements and droppable areas with just a few lines of code. Control every aspect of how your draggable and droppable components should behave. Exposes hooks such as use draggable and undroppable, and won't require you to re-architect your app or create additional wrapper DOM nodes. Customizable collision detection algorithms, multiple activators, draggable overlay, drag handles, auto-scrolling, constraints, and so much more. Lists, Grids,...
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  • 12
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models...
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  • 13
    Alternative JSON parser for Go

    Alternative JSON parser for Go

    One of the fastest alternative JSON parser for Go

    ...I investigated what's on the market and found that most libraries are just wrappers around encoding/json, there is few options with own parsers (ffjson, easyjson), but they still require you to create data structures. The goal of this project is to push JSON parser to the performance limits and not sacrifice with compliance and developer user experience.
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  • 14
    SAN

    SAN

    A fast, portable, flexible JavaScript component framework

    ...Feature blocks, from a single input combination to a whole page, can be built via San components. By modifying the data, the view engine can directly refresh the view area that needs to be changed without any detection and better performance. Optimized for the first screen and output HTML from the server-side. Reverse parse components from existing elements and build bindings. Volume less that 17kb (gzipped), no need to worry about the burden of page downloads. The gospel of patients with volume obsessive. The ESNext Module or AMD can be selected in the project. Of course, if you want to use global variables it is also supported.
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  • 15
    PostgreSQL client and ORM for Golang

    PostgreSQL client and ORM for Golang

    Golang ORM with focus on PostgreSQL features and performance

    Basic types, integers, floats, string, bool, time.Time, net.IP, net.IPNet. All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map or slice, nil ptr) are marshalled as SQL NULL. pg:",notnull" is used to add SQL NOT NULL constraint and pg:",use_zero" to allow Go zero values. sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime. Structs, maps and arrays are marshalled as JSON by default. PostgreSQL multidimensional Arrays using...
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  • 16
    Face Alignment

    Face Alignment

    2D and 3D Face alignment library build using pytorch

    ...By default, the package will use the SFD face detector. However, the users can alternatively use dlib, BlazeFace, or pre-existing ground truth bounding boxes. While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage.
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  • 17
    ReDex

    ReDex

    A bytecode optimizer for Android apps

    ...Fewer bytes also means faster download times, faster install times, and lower data usage for cell users. Lastly, less bytecode also typically translates into faster runtime performance. Redex has deep integration with Buck where your Redex config is passed as a parameter to the Buck android_binary rule when generating the APK.
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  • 18
    Compose Kotlin UI

    Compose Kotlin UI

    A modern UI framework for Kotlin that makes building performant

    ...Combine composable functions to build your user interface, and enjoy full tooling support from your IDE and build system, no XML or templating language required. Compose for Desktop targets the JVM, and supports high-performance, hardware-accelerated UI rendering on all major desktop platforms (macOS, Windows, and Linux/x64) by leveraging the powerful native Skia graphics library. Desktop extensions for menus, keyboard shortcuts, window manipulation, notification management, and more.
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  • 19
    stylex-jsx

    stylex-jsx

    Full CSS support for JSX without compromises

    ...Runtime size of just 3kb (gzipped, from 12kb). Complete isolation: Selectors, animations, keyframes. Built-in CSS vendor prefixing. Very fast, minimal and efficient transpilation. High-performance runtime-CSS-injection when not server-rendering. Future-proof, equivalent to server-renderable "Shadow CSS". Source maps support. Dynamic styles and themes support. CSS Preprocessing via Plugins. To skip scoping entirely, you can make the global-ness of your styles explicit by adding global. To make a component's visual representation customizable from the outside world there are three options.
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  • 20
    tvm

    tvm

    Open deep learning compiler stack for cpu, gpu, etc.

    Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging...
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  • 21
    react-window

    react-window

    React components for rendering large lists and tabular data

    React window works by only rendering part of a large data set (just enough to fill the viewport). This helps address some common performance bottlenecks. It reduces the amount of work (and time) required to render the initial view and to process updates. It reduces the memory footprint by avoiding over-allocation of DOM nodes. react-window is a complete rewrite of react-virtualized. If react-window provides the functionality your project needs, it is strongly recommend that you use it instead of react-virtualized. ...
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  • 22
    ScrollMagic

    ScrollMagic

    The javascript library for magical scroll interactions

    ScrollMagic helps you to easily react to the user's current scroll position. ScrollMagic is a complete rewrite of its predecessor Superscrollorama by John Polacek. A plugin-based architecture offers easy customizability and extendability. Animate based on scroll position, pin an element starting at a specific scroll position, toggle CSS classes of elements on and off based on scroll position, effortlessly add parallax effects to your website, create an infinitely scrolling page, add...
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  • 23

    Halide

    A language for fast, portable data-parallel computation

    Halide is a programming language for fast, portable data-parallel computation. It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). 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. ...
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  • 24
    Open LLMs

    Open LLMs

    A list of open LLMs available for commercial use

    Open LLMs, by the same author behind applied-ml — serves as a curated directory of open large language models (LLMs) that are available for commercial or open-source use. Rather than proprietary or closed-source LLMs, this repo focuses on freely available or permissively licensed models that practitioners can download, run, fine-tune or integrate without restrictive licensing. For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing...
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  • 25
    Top Go Web Frameworks

    Top Go Web Frameworks

    Web frameworks for Go, most starred on GitHub

    go-web-framework-stars is a curated list of popular Go web framework projects ranked automatically by their star counts on GitHub. The repository generates a markdown table that includes each framework’s name, star and fork counts, open issue counts, a short description, and the timestamp of the last commit, making it a quick way to compare ecosystem maturity and activity. It includes well-known frameworks and toolkits such as Gin, Fiber, Beego, Echo, go-zero, chi, Kratos, and many more,...
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