Search Results for "performance" - Page 34
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Showing 2055 open source projects for "performance"
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RustPython
A Python Interpreter written in Rust
...It also supports bytecode compilation and execution, enabling faster startup and reuse of parsed code. By bridging the two language ecosystems, RustPython offers a compelling path for projects that want Python flexibility but desire Rust’s performance and safety discipline. -
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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... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud 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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Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Discover a faster, easier way to build advanced AI robotics applications with the NVIDIA Isaac™ ROS collection of accelerated computing packages and AI models, bringing NVIDIA acceleration to ROS developers everywhere. Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to provide real-time, low-latency results in a robotics application. VSLAM provides an additional odometry source for mobile robots (ground-based) and can be the primary odometry source for drones. ... -
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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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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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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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Hyperf
A coroutine framework that focuses on hyperspeed and flexibility
...All of Hyperf's core components strictly follow PSR standards and can be used in other frameworks. Although there are many new PHP frameworks, we still haven't found a framework that matches an elegant design with ultra-high performance, nor have we found a framework that paves the way for PHP microservices. With this vision in mind, we will continue to invest in the future of this framework, and you are welcome to join us in contributing to the open-source development of Hyperf. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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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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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. ... -
14
Flecs
A fast entity component system (ECS) for C & C++
Flecs is a fast and lightweight Entity Component System that lets you build games and simulations with millions of entities (join the Discord!). Here are some of the framework's highlights. Fast zero dependency C99 API. Modern type-safe C++11 API that doesn't use STL containers. Minimal ECS core with optional addons. Entire codebase builds in less than 5 seconds. Runs in the browser without modifications with emscripten. Cache-friendly archetype/SoA storage that can process millions of... -
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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. -
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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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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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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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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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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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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...
