Search Results for "multi-threaded" - Page 23
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Showing 7596 open source projects for "multi-threaded"
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Hello-Agents
Building an Intelligent Agent from Scratch
...The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step task execution, enabling hands-on experimentation with modern LLM-powered agent systems. The repository is structured as a progressive learning path, combining theory, exercises, and runnable code so users can incrementally build more capable agents. Its goal is to demystify agent engineering and help developers move from simple prompt scripts to robust autonomous systems. -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
...Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance. -
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Dafthunk
A workflow execution platform built on top of the fantastic Cloudflare
Dafthunk is a browser-first visual workflow automation platform that lets you build, run, and monitor workflows without standing up a traditional server stack. It’s designed around durable, multi-step execution so workflows can keep going (and recover) even when individual steps fail, time out, or need retries. The platform is closely aligned with Cloudflare’s ecosystem, using edge-native building blocks for execution, orchestration, and storage so workflows can run near users with low latency. It aims to combine the approachability of a visual editor with the practical needs of real automation: state persistence, execution history, reusable nodes, and integrations with external systems. ... -
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Charts.css
Open source CSS framework for data visualization
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts. No dependencies. 72kb file size. Less than 6kb gzipped file size! Visualization helps end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. The data is structured using semantic HTML tags and styled using CSS classes which change the visual representation displayed to the end-user. The framework offers developers... -
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mGBA
mGBA Game Boy Advance Emulator
...The project was created with the goal of improving both accuracy and speed compared to earlier emulators, achieving a balance that allows games to run reliably even on lower-end systems. It supports not only Game Boy Advance titles but also Game Boy and Game Boy Color games, making it a versatile multi-generation emulator. The architecture is written in C and focuses on precise hardware emulation, including CPU timing, graphics rendering, and audio output, which are essential for compatibility with a wide range of games. It includes multiple frontends such as Qt for a full graphical interface and SDL for lightweight usage, giving users flexibility depending on their environment. -
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Conduit
Conduit streams data between data stores. Kafka Connect replacement
...Sync data between your production systems using an extensible, event-first experience with minimal dependencies that fit within your existing workflow. Eliminate the multi-step process you go through today. Just download the binary and start building. Conduit connectors give you the ability to pull and push data to any production datastore you need. If a datastore is missing, the simple SDK allows you to extend Conduit where you need it. Conduit pipelines listen for changes to a database, data warehouse, etc., and allows your data applications to act upon those changes in real-time. ... -
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Flet
Flet enables developers to easily build realtime web and mobile apps
...No more complex architecture with JavaScript frontend, REST API backend, database, cache, etc. With Flet you just write a monolith stateful app in Python only and get a multi-user, real-time Single-Page Application (SPA). To start developing with Flet, you just need your favorite IDE or text editor. With no SDKs, no thousands of dependencies, no complex tooling, Flet has a built-in web server with assets hosting and desktop clients. -
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vcluster
Create fully functional virtual Kubernetes clusters
Create fully functional virtual Kubernetes clusters with vcluster. Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces. vcluster itself is a certified Kubernetes distribution and is 100% Kubernetes API conform. Everything that works in a regular Kubernetes cluster works in cluster. Pods are scheduled in the underlying host cluster, so they get no performance hit at all while running. Split up large multi-tenant clusters into smaller vcluster to reduce complexity and increase scalability. ... -
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yudao-cloud
New Cloud version of Ruoyi-Vue-Pro optimized to refactor all features
...It delivers a full-stack solution that combines a Spring-based backend, MyBatis Plus for data access, and a Vue + Element-based admin front-end, along with user-facing mini-programs. The system targets enterprise scenarios and includes modules for RBAC-based dynamic permissions, multi-tenant SaaS capabilities, data permissions, and workflow/process engines. On top of the core platform, it provides integrated subsystems such as third-party login, payment, SMS, e-commerce, CRM, ERP and even AI large-model integrations. The README highlights a wide ecosystem of supporting components like Redis, MySQL, Elasticsearch, RocketMQ, Nacos, Seata, and more, giving a ready-made foundation for complex distributed applications. ... -
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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SQL Studio
SQL Database Explorer [SQLite, libSQL, PostgreSQL, MySQL/MariaDB
SQL Studio is a database explorer supporting multiple databases like SQLite, libSQL, PostgreSQL, MySQL/MariaDB, DuckDB, and ClickHouse. -
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NVIDIA NeMo
Toolkit for conversational AI
...Every module can easily be customized, extended, and composed to create new conversational AI model architectures. Conversational AI architectures are typically large and require a lot of data and compute for training. NeMo uses PyTorch Lightning for easy and performant multi-GPU/multi-node mixed-precision training. Supported models: Jasper, QuartzNet, CitriNet, Conformer-CTC, Conformer-Transducer, Squeezeformer-CTC, Squeezeformer-Transducer, ContextNet, LSTM-Transducer (RNNT), LSTM-CTC. NGC collection of pre-trained speech processing models. -
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Quadratic
Data science spreadsheet with Python & SQL
Quadratic enables your team to work together on data analysis to deliver better results, faster. You already know how to use a spreadsheet, but you’ve never had this much power before. Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today... -
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. ... -
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JCTools
Java Concurrency Tools for the JVM
Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK. There’s more to come and contributions/suggestions are most welcome. JCTools has enjoyed support from the community and contributions in the form of issues/tests/documentation/code have helped it grow. JCTools offers excellent performance at a reasonable price (FREE! under the Apache 2.0 License). It’s stable and in use by such distinguished frameworks as Netty,... -
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Networked-Aframe
Web framework for building multi-user virtual reality experiences
Multi-user VR on the Web. A framework for writing multi-user VR apps in HTML and JS. Built on top of A-Frame. Follow the NAF Getting Started tutorial to build your own example from scratch, including setting up a local server. Networked-Aframe works by syncing entities and their components to connected users. To connect to a room you need to add the networked-scene component to the a-scene element. -
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TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
...It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial‑and‑error question answering by leveraging both breadth (multiple attempts) and depth (iterative refinement) strategies to find better outputs dynamically -
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Shopware
Shopware 6 is an open commerce platform based on Symfony Framework
Shopware is a comprehensive open-source e-commerce platform designed to build and manage online stores. It provides a modular and flexible architecture, making it suitable for businesses of all sizes. Shopware offers a robust set of features for product management, customer interaction, and sales analytics. Its community-driven ecosystem and wide range of plugins make it highly customizable and scalable. -
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Nox
Rust implementation of the Fluence network peer
...It enables developers to build and deploy composable services without central servers, ensuring tamper-resistant logic and trustless computation. Nox is designed to support multi-peer coordination, decentralized app logic, and data privacy, using Fluence’s Aqua programming model. Ideal for Web3 developers, Nox provides the building blocks to run interoperable backends directly from the edge. -
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GLFW.jl
Julia interface to GLFW, a multi-platform library for creating windows
Julia interface to GLFW 3, a multi-platform library for creating windows with OpenGL or OpenGL ES contexts and receiving many kinds of input. GLFW has native support for Windows, OS X and many Unix-like systems using the X Window System, such as Linux and FreeBSD. -
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strip-json-comments
Strip comments from JSON. Lets you use comments in your JSON files
Strip comments from JSON. Lets you use comments in your JSON files. It will replace single-line comments // and multi-line comments /**/ with whitespace. This allows JSON error positions to remain as close as possible to the original source. -
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pmacct
pmacct is a small set of multi-purpose passive network monitoring tool
pmacct is a small set of multi-purpose passive network monitoring tools. It can account for, classify, aggregate, replicate, and export forwarding-plane data, ie. IPv4 and IPv6 traffic; collect and correlate control-plane data via BGP and BMP; collect and correlate RPKI data; collect infrastructure data via Streaming Telemetry. Each component works both as a standalone daemon and as a thread of execution for correlation purposes (ie. enriching NetFlow with BGP data). -
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ThinkPHP
ThinkPHP Framework
The operating environment requires PHP7.2+, compatible with PHP8.1. ThinkPHPV6.0 version is exclusively sponsored by Yisu Cloud. Use PHP7strong typing (strict mode). Support for more PSRspecifications. Native multi-app support. More powerful and easy-to-use queries. Brand new event system. Model events and database events are unified into the event system. Template engine separates out the core. Middleware for internal functions. SESSION/Cookie mechanism improvement. Improved support for Swoole and coroutines. More friendly to IDE. Unify and streamline a large number of usages. ... -
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ZLMediaKit
WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket
ZLMediaKit is a high-performance C++11 media server and streaming SDK for real-time audio and video applications. It supports a wide range of protocols, including RTSP, RTMP, HLS, HTTP-FLV, WebSocket-FLV, GB28181, HTTP-TS, HTTP-fMP4, MP4, and WebRTC. The project is designed for protocol conversion, live streaming, low-latency playback, recording, forwarding, and large-scale client access. Its asynchronous, multithreaded network model makes it suitable for commercial streaming deployments... -
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VT Code
VT Code - semantic AI coding agent
...The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. VTCode operates as an agent rather than a simple autocomplete tool, meaning it can interpret user intent, navigate codebases, and assist with multi-step tasks. It is highly configurable, allowing developers to define behavior, prompts, and workflows tailored to their projects. The tool is especially useful for developers who prefer lightweight, local-first environments but still want advanced AI assistance comparable to modern IDE-based tools. -
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Dexter
An autonomous agent for deep financial research
Dexter is an autonomous agent tailored for deep financial research: you pose complex financial questions (for example, about a company’s revenue growth or financial ratios) and Dexter breaks them down into structured research tasks, fetches relevant real-time data (e.g. income statements, cash flows), performs analysis, and returns data-backed answers. It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch data), and self-validation mechanisms: after getting results, Dexter checks its own outputs and refines them until it is confident about its answer. This means it's more than a simple script — it’s a research assistant that loops through analysis steps until convergence.
