Search Results for "throughput" - Page 5
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Showing 502 open source projects for "throughput"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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GLM-OCR
Accurate × Fast × Comprehensive
GLM-OCR is an open-source multimodal optical character recognition (OCR) model built on a GLM-V encoder–decoder foundation that brings robust, accurate document understanding to complex real-world layouts and modalities. Designed to handle text recognition, table parsing, formula extraction, and general information retrieval from documents containing mixed content, GLM-OCR excels across major benchmarks while remaining highly efficient with a relatively compact parameter size (~0.9B),... -
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MsQuic
Cross-platform, C implementation of the IETF QUIC protocol
...QUIC has many benefits when compared to existing "TLS over TCP" scenarios. MsQuic has several features that differentiate it from other QUIC implementations. Optimized for client and server. Optimized for maximal throughput and minimal latency. Asynchronous IO. Receive side scaling (RSS) support. UDP send and receive coalescing support. All packets are encrypted and handshake is authenticated with TLS 1.3. Parallel streams of (reliable and unreliable) application data. Exchange application data in the first round trip (0-RTT). Improved congestion control and loss recovery. ... -
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listmonk
High performance, self-hosted, newsletter and mailing list manager
...Use template expressions, logic, and 100+ functions in subject lines and content. Write HTML e-mails in a WYSIWYG editor, Markdown, raw syntax-highlighted HTML, or just plain text. Highly configurable, multi-threaded, high-throughput multi-SMTP e-mail queues for super fast campaign delivery. -
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Orpheus TTS
Towards Human-Sounding Speech
...The project ships both pretrained and finetuned English models, as well as a family of multilingual models released as a research preview, and includes data-processing scripts so users can train or finetune their own variants. Inference is provided through a Python package that uses vLLM under the hood for high-throughput, low-latency generation, including streaming examples that show how to generate audio chunks in real time. The maintainers provide Colab notebooks, a standardized prompting format, and one-click deployment via Baseten for production-grade, FP8/FP16 optimized inference with ~200 ms streaming latency. -
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Edgee
AI gateway with token compression for Claude Code, Codex, and more
Edgee is an edge-native execution platform designed to run AI-driven logic and data processing directly at the network edge, reducing latency and improving responsiveness for modern applications. It enables developers to deploy functions and workflows closer to users, allowing real-time processing without relying heavily on centralized cloud infrastructure. The platform is built to support event-driven architectures, where actions are triggered by incoming requests, user behavior, or... -
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EFAK-AI
A AI-Driven, Distributed and high-performance monitoring system
EFAK (Eagle For Apache Kafka) is an open-source monitoring and management platform designed to provide comprehensive visibility and operational control over Apache Kafka clusters through a unified web interface. The project focuses on simplifying Kafka administration by offering real-time insights into cluster health, performance metrics, and consumer activity, allowing engineers to quickly diagnose issues and optimize system behavior. It integrates advanced features such as intelligent... -
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OpenAI Forward
An efficient forwarding service designed for LLMs
...The project can proxy both local and cloud-hosted language model services, which makes it useful for teams that want a single control layer regardless of whether they are using something like LocalAI or a hosted provider compatible with OpenAI-style APIs. A major emphasis of the repository is asynchronous performance, using tools such as uvicorn, aiohttp, and asyncio to support high-throughput forwarding workloads. -
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MyPerf4J
High performance Java APM. Powered by ASM
MyPerf4J is an open source Java performance monitoring and profiling tool designed to help developers and operations teams analyze application behavior with minimal overhead. It focuses on providing lightweight yet high-precision metrics collection for method execution times, throughput, and latency, making it particularly useful in high-performance production environments. The project emphasizes low performance impact by using efficient time recording and aggregation techniques, allowing continuous monitoring without significantly affecting application speed. MyPerf4J supports both real-time monitoring and offline analysis through log aggregation and visualization tools. ... -
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WGCLOUD
Visibility into servers, applications, and infrastructure
...Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature, memory utilization, disk performance, network throughput, and hardware health while also supporting monitoring of processes, containers, ports, and databases. The platform includes advanced operational capabilities such as web-based SSH access, batch command execution, and visual topology generation, making it more than a passive monitoring tool. wgcloud is intended for private, self-hosted deployments where organizations want full control over monitoring data without relying on external cloud services. -
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Zvec
A lightweight, lightning-fast, in-process vector database
...Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. ... -
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SyncKit
Local-first collaboration SDK for React, Vue, and Svelte
...Synckit’s synchronization engine efficiently handles differential syncing — transferring only changed blocks rather than entire files — which reduces bandwidth usage and accelerates sync throughput. -
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Loki Mode
Multi-agent autonomous startup system for Claude Code
...By supporting multiple AI providers (like Claude Code, OpenAI Codex CLI, and Google Gemini CLI), loki-mode dynamically selects and spawns only the needed agents for a given project, optimizing computational resources and task throughput. Its Reason-Act-Reflect-Verify (RARV) cycle with self-verification loops emphasizes quality and resilience, automating end-to-end development lifecycles. -
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Marl
A hybrid thread / fiber task scheduler written in C++ 11
marl is a lightweight C++ job system that schedules tasks on a pool of worker threads and runs them using cooperative fibers for high throughput. By decoupling “tasks” from OS threads, it minimizes context switches and lets workloads with fine-grained synchronization scale efficiently. The API is intentionally small—post tasks, wait on fences, and express dependencies—so you can retrofit it into existing engines without adopting a heavyweight framework. Under the hood, fibers allow tasks to yield while waiting, keeping cores busy without blocking threads. ... -
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RobotsTxt
The repository contains Google's robots.txt parser
This is a high-performance, production-tested library for parsing and evaluating robots.txt rules against crawler user agents. It implements the core semantics of the Robots Exclusion Protocol: user-agent sections, Allow/Disallow directives, wildcard handling, and precedence rules. The code is optimized for speed and low memory so large crawls can evaluate millions of URLs quickly. It also focuses on correctness—edge cases like overlapping patterns and longest-match resolution are handled... -
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Wireit
Wireit upgrades your npm/pnpm/yarn scripts to make them smarter
...It persists caches between runs and across CI so identical steps don’t redo expensive tasks like bundling or type-checking. The system also serializes or parallelizes scripts based on dependencies to avoid race conditions while maximizing throughput. Because it integrates at the script layer, it works with any underlying tool—TypeScript, Rollup, Jest, or bespoke commands—while remaining transparent to developers. -
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clusterProfiler
A universal enrichment tool for interpreting omics data
clusterProfiler is an R/Bioconductor package that provides a unified workflow for functional enrichment analysis to interpret high-throughput omics results. It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can query different biological lenses without rewriting code. ... -
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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. Being unopinionated, it lets... -
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Poison
An incredibly fast, pure Elixir JSON library
...On the decoding side, it supports options for key handling and flexible parsing of JSON into Elixir maps, lists, and primitive values. Internally it uses optimized binary processing to keep allocations low and throughput high, which is why it became a popular choice in early Elixir ecosystems. The API is intentionally small and unsurprising, making it easy to drop into controllers, background jobs, or data pipelines. Many codebases still rely on Poison for its speed and simplicity, even as alternative JSON libraries exist in the community. -
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OpenMLDB
OpenMLDB is an open-source machine learning database
...However, a feature engineering script developed by data scientists (Python scripts in most cases) cannot be directly deployed into production for online inference because it usually cannot meet the engineering requirements, such as low latency, high throughput and high availability. -
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Laravel Horizon
Dashboard and code-driven configuration for Laravel queues
Horizon provides a beautiful dashboard and code-driven configuration for your Laravel-powered Redis queues. Horizon allows you to easily monitor key metrics of your queue system such as job throughput, runtime, and job failures. All of your worker configuration is stored in a single, simple configuration file, allowing your configuration to stay in source control where your entire team can collaborate. When using Horizon, all of your queue worker configuration is stored in a single, simple configuration file. By defining your application's worker configuration in a version-controlled file, you may easily scale or modify your application's queue workers when deploying your application. -
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Simple Binary Encoding (SBE)
Simple Binary Encoding (SBE) - High Performance Message Codec
...For the latest version information and changes see the Change Log with downloads at Maven Central. The Java and C++ SBE implementations work very efficiently with the Aeron messaging system for low-latency and high-throughput communications. The Java SBE implementation has a dependency on Agrona for its buffer implementations. -
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dperf
DPDK based 100Gbps network performance and load testing software
dperf is a DPDK based 100Gbps network performance and load testing software. Based on DPDK, dperf can generate huge traffic with a single x86 server: tens of millions of HTTP CPS，hundreds of Gbps throughput and billions of concurrent connections. Provides detailed statistics and identify every packet loss. Support multiple scenarios. Load testing and stability testing for Layer 4 Load Balancer and other Layer 4 gateways. Network performance testing for servers on cloud. Performance test of network package processing capability for NIC and CPU. ... -
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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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Fluent Bit Amazon Kinesis Firehose
A Fluent Bit output plugin for Amazon Kinesis Data Firehose
...However, we are pausing development on it and will focus on the high-performance version instead. If the features of the higher performance plugin are sufficient for your use cases, please use it. It can achieve higher throughput and will consume less CPU and memory. This plugin has been tested with Fluent Bit 1.2.0+. It may not work with older Fluent Bit versions. We recommend using the latest version of Fluent Bit as it will contain the newest features and bug fixes. We distribute a container image with Fluent Bit and these plugins. -
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Qwen-Agent
Agent framework and applications built upon Qwen>=3.0
Qwen-Agent is a framework for building applications / agents using Qwen models (version 3.0+). It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time....
