Showing 26670 open source projects for "code"

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    Veeam Data Platform v13.1

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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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  • 1
    learn_python3_spider

    learn_python3_spider

    Python crawler tutorial series, learning Python crawlers from 0 to 1

    ...Data can be stored with CSV, MySQL, or MongoDB examples. More advanced material explores anti-scraping defenses, JavaScript analysis, WebSocket data, and distributed crawlers. The repository includes practical source-code examples for scraping several real-world websites and services.
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    RuoYi Cloud

    RuoYi Cloud

    Java development platform built for distributed microservice apps

    ...Nacos provides service registration and configuration, Redis supports authentication, Sentinel handles traffic control, and Seata manages distributed transactions. The project includes gateway, authentication, system, code-generation, job, file, and monitoring modules. It supports multiple Spring Boot generations and can pair with Vue 2, Vue 3, or Vue 3 TypeScript frontends. Built-in administration covers users, roles, permissions, logs, scheduling, monitoring, and API generation.
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  • 3
    Cap'n Proto

    Cap'n Proto

    Serialization/RPC system - core tools and C++ library

    ...It is designed as a binary data interchange format that can replace JSON, Protocol Buffers, or similar schema-based formats in performance-sensitive systems. The project uses schemas to define structured data and interfaces, then generates code for working with those messages efficiently. Its RPC model is capability-based, which makes it suitable for distributed systems that need object-style communication across processes or machines. The repository contains the main compiler, C++ runtime, KJ library components, tests, style guidance, release tooling, and development branches. ...
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  • 4
    OpeniLink

    OpeniLink

    Self-hosted WeChat Bot Platform with App Marketplace

    OpeniLink Hub is a self-hosted message management platform and app marketplace for WeChat ClawBot through the iLink protocol. It lets users bind WeChat accounts by scanning a code, manage multiple bots from a web console, and extend capabilities without writing code. The app marketplace connects WeChat messages with tools such as Slack, Discord, Lark, DingTalk, GitHub, Notion, Google Workspace, weather, currency, reminders, RSS, and AI assistants. The platform can route messages through installed apps, WebSocket, Webhook, or OpenAI-compatible automatic replies. ...
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    Paessler - Monitor Your Whole Network in Minutes

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  • 5
    Nitro Modules

    Nitro Modules

    Insanely fast native C++, Swift or Kotlin modules

    ...It is designed to reduce runtime overhead by generating type converters ahead of time instead of relying on dynamic lookups. The project consists of the core react-native-nitro-modules library and the optional nitrogen code generator for module authors. Developers define interfaces in TypeScript and implement the native behavior in C++, Swift, Kotlin, or Java. Nitro supports cross-platform C++ modules as well as platform-native iOS and Android implementations. It is useful for React Native teams that need high-performance native functionality, strongly typed bindings, and lower bridge overhead.
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  • 6
    effective-html

    effective-html

    Agent skill for elegant and simple html plans, architecture diagrams

    ...The repository includes separate skills for standard HTML artifacts, full-screen HTML diagrams, and HTML plan pages. It is designed to work with agent tooling such as Skills, Claude Code plugins, and Codex plugins. The skill emphasizes strong visual structure, high-quality SVG use, minimal prose, and deliverables that can be opened, shared, or annotated. It is useful for teams that want AI agents to produce clearer visual explanations instead of plain text planning documents.
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  • 7
    improve

    improve

    Use your most capable model to audit your codebase

    ...Its core idea is to use a stronger model for understanding, judgment, and planning, then hand the actual implementation to cheaper or separate execution agents. The skill does not modify code by default, because its main output is a self-contained plan. It can run full, quick, deep, security-focused, branch-scoped, and feature-suggestion audits. It maps repository conventions, identifies findings, writes ordered markdown plans, and records verification steps such as lint, build, and test commands. It is useful for teams that want AI-assisted technical planning without letting the planning model directly change production code.
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  • 8
    ZeroGPU Router

    ZeroGPU Router

    Cut inference costs without dumbing down your agent

    ...The router exposes tools for tasks such as summarization, classification, PII redaction, entity extraction, JSON extraction, follow-up generation, and short chat. It works through MCP for OpenClaw and through a CLI plus plugin workflow for Claude Code. Each routed call can report useful metadata such as the selected model, latency, and estimated savings. Its main value is letting agents reserve expensive frontier models for complex reasoning while offloading routine language tasks to cheaper specialized routes.
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  • 9
    EASY LLM CLI

    EASY LLM CLI

    An open-source AI agent that is compatible with multiple LLM models

    EASY LLM CLI is an open-source command-line AI agent compatible with multiple large language model providers. It is based on a fork of Gemini CLI and is designed to connect to local tools, understand code, and support developer workflows from the terminal. The project supports providers such as Gemini, OpenAI, and custom APIs that follow the OpenAI-compatible format. It is useful for developers who want a flexible AI assistant without being locked into one model vendor. The CLI can help with coding tasks, command workflows, file understanding, and project navigation. ...
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    MongoDB Atlas runs apps anywhere

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  • 10
    Dia2

    Dia2

    TTS model capable of streaming conversational audio in realtime

    ...The model supports audio conditioning, allowing generated speech to follow a reference voice or conversational style more naturally. Dia2 provides 1B and 2B model checkpoints along with inference code for research and experimentation. It currently focuses on English generation and supports up to two minutes of generated audio. Its main value is enabling low-latency, dialogue-oriented TTS workflows where timing, turn-taking, and natural conversation matter.
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  • 11
    Agent Client Protocol (ACP)

    Agent Client Protocol (ACP)

    A protocol for connecting any editor to any agent

    Agent Client Protocol is an open protocol for standardizing communication between code editors and AI coding agents. It defines how an interactive editor can connect to an agent that reads, edits, and reasons about source code. The project is meant to reduce fragmentation between IDEs, terminal tools, and autonomous coding systems by creating a shared communication layer. Its goal is to let any compatible editor work with any compatible coding agent without every integration being custom-built. ...
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  • 12
    pytudes

    pytudes

    Python programs, usually short, of considerable difficulty

    ...The repository includes readable solutions, experiments, notebooks, and scripts that cover algorithms, puzzles, probability, search, language processing, simulation, and mathematical reasoning. It is useful for programmers who want to study elegant Python code while learning how experienced developers approach problem solving. Many examples emphasize clarity and compactness rather than framework-heavy engineering. pytudes is best understood as a learning library, a coding style reference, and a set of practical programming studies.
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  • 13
    Swift Macros

    Swift Macros

    A curated list of awesome Swift Macros

    ...Its structure makes it easier to discover practical macro use cases without searching across scattered blog posts and packages. It is especially valuable for developers moving from code-generation tools toward Swift’s built-in macro system. Swift-Macros is not a single library, but a reference hub for learning the Swift macro ecosystem and finding useful implementation patterns.
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  • 14
    FFmpeg.AutoGen

    FFmpeg.AutoGen

    FFmpeg auto generated unsafe bindings for C#/.NET and Core

    FFmpeg.AutoGen is a .NET binding for FFmpeg that provides low-level access to its native libraries through automatically generated C# interop code. It enables developers to work directly with FFmpeg’s APIs, including encoding, decoding, muxing, and demuxing operations, within managed .NET environments. The library exposes FFmpeg structures and functions with minimal abstraction, offering high performance and flexibility. It is designed for advanced use cases where precise control over multimedia processing is required. ...
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  • 15
    Claude Context

    Claude Context

    Code search MCP for Claude Code

    Claude Context is a tool designed to enhance the contextual understanding of large language models by managing and injecting relevant information into prompts. It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where...
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  • 16
    Machine Learning Tutorials Repository

    Machine Learning Tutorials Repository

    Dive deep into the realms of Machine Learning and other topics

    ...It covers a wide range of topics, including supervised learning, unsupervised learning, neural networks, and data preprocessing techniques. The project is structured to provide both theoretical explanations and practical code examples, making it suitable for learners at different levels. It includes implementations of algorithms using popular tools and libraries, allowing users to experiment and build their own models. The repository also serves as a reference for common patterns and workflows in machine learning development. By combining educational content with hands-on examples, it bridges the gap between theory and practice.
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  • 17
    dive-into-llms

    dive-into-llms

    "Dive into LLMs" series of practical programming tutorials

    ...The repository is structured as a learning pathway, making it accessible to both beginners and intermediate practitioners interested in understanding how LLMs work. It includes code samples, tutorials, and conceptual breakdowns that bridge the gap between academic research and real-world implementation. The project also highlights best practices for working with LLMs, including prompt design and optimization strategies. By focusing on clarity and depth, it serves as both a teaching tool and a reference for developers. ...
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  • 18
    jawsm

    jawsm

    JavaScript to WASM compiler

    Jawsm is an experimental JavaScript-to-WebAssembly compiler written in Rust that aims to transform standard JavaScript code into standalone WebAssembly binaries that can execute without relying on an embedded interpreter. Unlike traditional approaches that require bundling a JavaScript engine or using a restricted subset of the language, Jawsm seeks to compile full JavaScript directly into WebAssembly, leveraging modern Wasm capabilities to execute code efficiently.
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  • 19
    Expect

    Expect

    Let agents test your code in a real browser

    Expect is a developer-focused utility designed to simplify validation, testing, and assertion workflows across software environments by providing a clean and expressive interface for defining expected outcomes. The project likely centers on improving readability and maintainability in testing scenarios, allowing developers to write expectations in a concise and human-readable format. It may support chaining conditions, enabling complex validation logic without introducing unnecessary...
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  • 20
    MedgeClaw

    MedgeClaw

    Open-source AI research assistant for biomedicine

    ...It includes a real-time dashboard that displays progress, generated code, and outputs, providing transparency throughout the research process. MedgeClaw also supports reproducibility by generating structured reports and maintaining consistent environments through containerization. Its architecture combines conversational AI, automated pipelines, and scientific tooling into a unified workflow.
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  • 21
    LeWorldModel

    LeWorldModel

    Official code base for LeWorldModel: Stable End-to-End Joint-Embedding

    ...It provides automatic window tiling behavior, organizing application windows into structured layouts without requiring manual resizing or positioning. The project emphasizes a lightweight design, minimizing resource usage while maintaining responsiveness and stability. It is highly configurable through source code or configuration files, allowing users to tailor behavior, keybindings, and layouts to their preferences. le-wm is intended for users who prefer keyboard-driven workflows and a distraction-free desktop environment. Its architecture avoids unnecessary complexity, making it easy to understand, modify, and extend.
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  • 22
    mruby

    mruby

    Lightweight Ruby

    ...It maintains compatibility with modern Ruby syntax while offering a significantly reduced footprint compared to the standard Ruby interpreter. The system includes its own virtual machine, bytecode compiler, and interactive shell, enabling developers to write, compile, and execute Ruby code efficiently. One of its core strengths is its embeddability, allowing developers to integrate scripting capabilities directly into applications written in C or C++. mruby also includes a package system called mrbgems, which enables modular extension of functionality through additional libraries. It supports compiling Ruby scripts into bytecode or even C source code, providing flexibility for deployment in different environments.
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  • 23
    RL with PyTorch

    RL with PyTorch

    Clean, Robust, and Unified PyTorch implementation

    ...The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. The repository is structured so that users can easily experiment with different algorithms and training environments. Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. ...
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  • 24
    Data Science Articles from CodeCut

    Data Science Articles from CodeCut

    Collection of useful data science topics along with articles

    ...The materials address areas such as MLOps, data management, project organization, testing practices, visualization techniques, and productivity tools used by data scientists. Each topic often includes references to code repositories, demonstrations, and video tutorials that show how the tools can be applied in real projects. The repository is intended to help practitioners stay updated with current best practices and technologies in the field of data science.
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  • 25
    mo - Monads

    mo - Monads

    Monads and popular FP abstractions, powered by Go 1.18+ Generics

    ...The project brings well-known FP constructs such as Option, Result, Either, Future, IO, and Task into the Go ecosystem to help developers write safer and more composable code. By leveraging generics introduced in Go 1.18+, the library provides strong type safety without relying on reflection or code generation. It is particularly useful for managing nullable values, error propagation, asynchronous workflows, and functional pipelines in a predictable way. The design draws inspiration from languages like Scala, Rust, and TypeScript FP libraries, making it familiar to developers with functional backgrounds. ...
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