Search Results for "performance" - Page 33
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Showing 2041 open source projects for "performance"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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Mojolicious (Mojo)
Perl real-time web framework
...Production deployment is first-class too, with the Hypnotoad server offering preforking and zero-downtime restarts. By blending an approachable API with serious performance features, Mojolicious enables everything from tiny services to feature-rich, real-time applications. -
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DoKit
A platform for the life cycle of pan-front-end product development
...Because it’s modular, teams can include only the subsystems relevant to their needs and disable others in production builds. The result is a rich, on-device observability layer that supports debugging performance, layout bug hunts, and UX tuning without deeply invasive instrumentation. -
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Hugo PaperMod
A fast, clean, responsive Hugo theme
...The theme ships with SEO-friendly meta tags, Open Graph/Twitter cards, and RSS feeds to improve discoverability. Because it’s engineered for speed—lean HTML, minimized assets, and Hugo’s native rendering—it delivers excellent performance scores out of the box. -
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Gitit
A wiki using HAppS, pandoc, and git
Gitit is a wiki application written in Haskell that uses Happstack for serving and Pandoc for markup conversion. Wiki content and attachments are stored in Git, Darcs, or Mercurial repositories, allowing versioning via VCS or web editing. To run gitit, you'll need git in your system path. (Or darcs or hg, if you're using darcs or mercurial to store the wiki data.) Gitit assumes that the page files (stored in the git repository) are encoded as UTF-8. Even page names may be UTF-8 if the file... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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DynaMix
A new take on polymorphism
...The library is a means to create a project's architecture rather than achieve its purpose. It helps with extensibility, readability, scalability, and interoperability. It focuses on maximal performance and minimal memory overhead. The library uses the type dynamix::object as a placeholder, whose instances can be extended with existing classes (mixins), thus providing a particular instance with the mixin features of all those types. Likely the most important types of mixin features are messages: functional objects that in C++-OOP terms can be thought of as methods. ... -
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Production-ready Docker PHP
Production-ready Docker images for PHP. Optimized for Laravel
serversideup/php is an optimized set of Docker Images for running PHP applications in production. Everything is designed around improving the developer experience with PHP and Docker. Gone are the days of configuring each environment differently, and gone are the days of trying to figure out why your code works in one environment and not the other. These images are highly optimized to run modern PHP applications, no matter where you want your application to run. Ditch FPM for a modern way of... -
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LINKERD
Ultralight, security-first service mesh for Kubernetes
...Instantly add latency-aware load balancing, request retries, timeouts, and blue-green deploys to keep your applications resilient. Incredibly small and blazing fast Linkerd2-proxy micro-proxy written in Rust for security and performance. Self-contained control plane, incrementally deployable data plane, and lots and lots of diagnostics and debugging tools. Transparently add mutual TLS to any on-cluster TCP communication with no configuration. Designed by engineers, for engineers. -
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Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have... -
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Lettuce
Advanced Java Redis client for thread-safe sync, async, etc.
Build elastic data access. Lettuce is a scalable Redis client for building non-blocking Reactive applications. Lettuce is a fully non-blocking Redis client built with netty providing Reactive, Asynchronous and Synchronous Data Access. Lettuce provides asynchronous API with RedisFuture (CompletionStage) and Reactive types Flux [N] and Mono [0|1]. Low-latency communication, backpressure-enabled network engine for NIO TCP, epoll TCP and Unix Domain Sockets. Reactive Streaming is fully... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gretel Synthetics
Synthetic data generators for structured and unstructured text
...Synthesize and transform multiple tables or entire relational databases. Mitigate GDPR and CCPA risks, and promote safe data access. Accelerate CI/CD workflows, performance testing, and staging. Augment AI training data, including minority classes and unique edge cases. Amaze prospects with personalized product experiences. -
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Athens
A Go module datastore and proxy
...It serves public code and your private code for you, so you don’t have to pull directly from a version control system (VCS) like GitHub or GitLab. There are many reasons why you’d want a proxy server such as security and performance. Athens is a project building on top of vgo (or go1.11+) trying to bring dependencies closer to you so you can count on repeatable builds even at a time when VCS is down. The big goal of Athens is to provide a new place where dependencies — not code — live. Dependencies are immutable blobs of code and associated metadata that come from Github. ... -
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The Lift Web Framework
Lift 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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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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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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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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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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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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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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AWS IoT Device SDK for JavaScript v2
Next generation AWS IoT Client SDK for Node.js using the AWS Runtime
...This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to JS by the awscrt package. You will need to install NodeJS in orderto run the SDK on Windows, MacOS, and Linux. You can find installers for NodeJS on the NodeJS website's download page. To build the SDK, you will need a compiler that can compile C++ 11 code or higher. C++ compilers vary based on platform. ... -
20
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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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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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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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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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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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.
