Search Results for "high performance computing" - Page 2
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Showing 231 open source projects for "high performance computing"
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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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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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Json.NET
A popular high-performance JSON framework for .NET
Serialize and deserialize any .NET object with Json.NET's powerful JSON serializer. Create, parse, query and modify JSON using Json.NET's JObject, JArray and JValue objects. Query JSON with an XPath-like syntax. 50% faster than DataContractJsonSerializer, and 250% faster than JavaScriptSerializer. Json.NET makes the simple easy and the complex possible. If you need it, Json.NET supports converting between XML and JSON. Json.NET is open source software and is completely free for commercial... -
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GoFrame
GoFrame is a modular, powerful, high-performance development framework
GoFrame is a modular, powerful, high-performance, and enterprise-class application development framework of Golang. Modular, loosely coupled design, rich components, out-of-the-box, automatic codes generating for efficiency, simple and easy to use, detailed documentation, interface designed components, with high scalability, fully supported tracing and error stack feature, specially developed and powerful ORM component. -
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Express
Fast, unopinionated, minimalist web framework for Node.js
Express is a fast, minimal and flexible web application framework for Node.js that offers a robust set of features for web and mobile applications. With a vast selection of HTTP utility methods and middleware, and a thin, unobstructive layer of fundamental features, it’s the ideal solution for single page applications, web sites, hybrids or public HTTP APIs. With Express you’re not forced to use any one ORM or template engine. You have access and support to over 14 template engines... -
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SwiftNIO
Network application framework for protocol servers and clients
SwiftNIO is a cross-platform asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Low-level protocol implementations are often a collection of ChannelHandlers that implement a protocol but still require the user to have a good understanding of SwiftNIO. Often, low-level protocol implementations will then be wrapped in high-level libraries with a nicer, more user-friendly API. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Gatling
Modern Load Testing as Code
Gatling is a high-performance load testing tool built on the JVM that emphasizes realism, scalability, and developer ergonomics. Test scenarios are scripted in a concise Scala-based DSL, allowing you to model user journeys with think times, feeders (dynamic data), checks, and assertions all in code. Its asynchronous, non-blocking engine (backed by Netty) can drive very high concurrency from a single injector, reducing the need for large injector farms. -
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Ristretto
A high performance memory-bound Go cache
Ristretto is a fast, concurrent cache library built with a focus on performance and correctness. It all started with needing a memory-bound, concurrent Go cache in Dgraph. We looked around for a solution, but we couldn’t find a great one. We then tried using a sharded map, with shard eviction to release memory, which caused us memory issues. We then repurposed Groupcache’s LRU, using mutex locks for thread safety. After having it around for a year, we noticed that the cache suffered from... -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
...Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information. -
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Apache Dubbo
A high performance Java RPC framework
Apache Dubbo is a high performance, lightweight, open source RPC framework written in Java. It offers three key functionalities: interface based remote call, load balancing and fault tolerance, and automatic service registration and discovery. Apache Dubbo is built to support multiple service registries and load balancing strategies right out of the box. -
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Scalatra
Tiny Scala high-performance, async web framework
Scalatra is a lightweight, high-performance micro web framework written in Scala, inspired by the Ruby framework Sinatra. Its goal is to provide a minimal but expressive foundation for building web applications or REST APIs in Scala without the verbosity or steep learning curve of larger frameworks. It supports asynchronous request handling, routing, filters, content negotiation, and easy integration with templating, JSON libraries, and other web middleware. -
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Echo
High performance, minimalist Go web framework
High performance, extensible, minimalist Go web framework. Highly optimized HTTP router with zero dynamic memory allocation which smartly prioritizes routes. Build robust and scalable RESTful API, easily organized into groups. Automatically install TLS certificates from Let's Encrypt. HTTP/2 support improves speed and provides better user experience. -
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Open-IM-Server
Open source Instant Messaging Server
...By deployment of the Open-IM-Server on the customer's server, developers can integrate instant messaging and real-time network capabilities into their own applications free of charge and quickly, and ensure the security and privacy of business data. Open-IM relies on five open source high-performance components: ETCD, MySQL, MongoDB, Redis, and Kafka. Privatization deployment Before Open-IM-Server, please make sure that the above five components have been installed. If your server does not have the above components, you must first install Missing components. If you have the above components, it is recommended to use them directly. -
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eRPC
An efficient, extensible and easy-to-use RPC framework
eRPC is an efficient, extensible and easy-to-use RPC framework. Suitable for RPC, Microservice, Peer-to-Peer, IM, Game and other fields. Use peer to provide the same API package for the server and client. Optimized high-performance transport layer. Use a Non-block socket and I/O multiplexing technology. Support setting the size of socket I/O buffer. Support setting the size of the reading message (if exceed disconnect it). Support controlling the connection file descriptor. Detailed log information, support print input and output details. Support setting slow operation alarm threshold. ... -
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JuiceFS
JuiceFS is a distributed POSIX file system built on top of Redis
...Purposely built to serve big data scenarios such as self-driving model training, recommendation engine, and Next-generation Gene Sequencing, JuiceFS specializes in high performance and easier management of tens of billion of files management. We bring JuiceFS to developers with the hope that it will be easy to use, reliable, high-performance, and solve all your file storage problems in a cloud environment. -
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userver
Production-ready C++ Asynchronous Framework with rich functionality
userver is a modern C++ framework for building asynchronous, high-performance microservices. Developed by Yandex, it provides a robust architecture for writing non-blocking network applications, with built-in support for gRPC, HTTP, database clients, metrics, and more. userver is designed for production-scale backend systems that require low latency and high reliability. -
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panicparse
Crash your app in style (Golang)
...Helps debugging crashes and deadlocks in heavily parallelized processes. Race detector support, e.g. it can parse output produced by go test -race. HTML export. Easy to use as an HTTP Handler middleware. High-performance parsing. HTTP web server that serves a very tight and swell snapshot of your goroutines, much more readable than net/http/pprof. >50% more compact output than original stack dump yet more readable. Deduplicates redundant goroutine stacks. Useful for large server crashes. Arguments as pointer IDs instead of raw pointer values. ... -
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Netty
An event-driven asynchronous network application framework
Netty is an asynchronous, event-driven networking framework for the JVM that simplifies building high-performance clients and servers. It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a foundation for RPC frameworks, proxies, and messaging systems. ... -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
...Implemented in pure C language, with bindings for Pharo, Crystal, Clojure, Visual Basic, Perl, Rust, Haskell, Ruby, Python, Java, Go, D, Lua, JavaScript, .NET, Delphi/Pascal & MSVC available. Native support for Windows & *nix (with macOS, Linux, Android, *BSD & Solaris confirmed). High performance by using the Just-In-Time compiler technique. Support fine-grained instrumentation at various levels. Thread-safe by design. Distributed under free software license GPLv2. Another significant change on this version is the addition of some new APIs to allow better control on how the core engine works. -
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easystats
The R easystats-project
easystats is a meta‑package that installs and unifies a suite of R packages for post‑processing statistical models. It delivers a consistent API to assess model performance, effect sizes, parameters, and to generate reports and visualizations, all with minimal dependencies and maximum clarity. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive... -
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Simple Binary Encoding (SBE)
Simple Binary Encoding (SBE) - High Performance Message Codec
SBE is an OSI layer 6 presentation for encoding and decoding binary application messages for low-latency financial applications. This repository contains the reference implementations in Java, C++, Golang, C#, and Rust. More details on the design and usage of SBE can be found on the Wiki. An XSD for SBE specs can be found here. Please address questions about the specification to the SBE FIX community. For the latest version information and changes see the Change Log with downloads at Maven... -
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Fury
A blazing fast multi-language serialization framework
Fury is a blazing-fast multi-language serialization framework powered by jit(just-in-time compilation) and zero-copy, providing up to 170x performance and ultimate ease of use. Based on efficient JIT, struct deserialization can get 170x speed up compared to other serialization frameworks. In serialization scenarios, Fury can achieve a 100x speed up compared to traditional serialization frameworks. If you use Java clusters on a large scale, this will save a lot of computing resources. -
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ServiceStack
Simple, fast, versatile and full-featured services framework
...By using simple & pure dependency-free DTO models decoupled from any implementation we're free to continue layering on features which now sees ServiceStack APIs as the most versatile in the world where the same high-performance APIs can be consumed from HTTP in any combination of Route, QueryString, FormData or a myriad of data formats, via popular resilient MQ Servers whilst simultaneously supporting legacy integrations like SOAP or adopting new technologies like gRPC without sacrificing any native HTTP integrations. To maximize the value of APIs we're focused beyond the API boundary by making it as simple as possible for API Consumers to call your APIs. -
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Horse
Fast, opinionated, minimalist web framework for Delphi
Horse is an Express-inspired web framework for Delphi and Lazarus. Designed to ease things up for fast development in a minimalist way and with high performance. Fast, opinionated, minimalist web framework for Delphi. Horse works with Delphi 11 Alexandria, Delphi 10.4 Sydney, Delphi 10.3 Rio, Delphi 10.2 Tokyo, Delphi 10.1 Berlin, Delphi 10 Seattle, Delphi XE8 and Delphi XE7. Horse is free and open-source software licensed under the MIT License. -
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MNN
MNN is a blazing fast, lightweight deep learning framework
...MNN Workbench could be downloaded from MNN's homepage, which provides pretrained models, visualized training tools, and one-click deployment of models to devices. Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. Currently supports CPU and GPU. -
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EasyZSwoole
swoole, easyswoole, swoole framework
EasySwoole is a distributed swoole framework with a permanent memory. It is born specifically for API and supports the simultaneous monitoring of HTTP, WebSocket, self-defined TCP, UDP protocol, and has rich components, such as collaboration Connect Pool, TP style co-process ORM, co-process microcredit SDK, co-process Kafka client, co-process ElasticSearch client, co-process Consul client, co-process Redis client, co-process Apollo client, co-process NSQ client, co-process self-definition...
