Search Results for "core" - Page 32
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Showing 3550 open source projects for "core"
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Leaf 3
The easiest way to create clean, simple but powerful web apps and APIs
...Builds on top of standard PHP with a flexible learning curve + ZERO config. A rich, incrementally adoptable ecosystem of modules to build powerful apps with. Want a Leaf core team member to speak at your next event? Invite us to create a memorable and engaging experience for your attendees. -
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NoneBot
Asynchronous multi-platform robot framework written in Python
...NoneBot2 provides an easy-to-use, interactive command-line tool -- nb-cli, making it easier to get started with NoneBot2 for the first time. The plug-in system is the core of NoneBot2, through which the modularization and function expansion of the robot can be realized, which is convenient for maintenance and management. -
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Racket
The Racket repository
Racket is a general-purpose programming language and an ecosystem for language-oriented programming. This repository holds the source code for the core of Racket plus some related packages. The rest of the Racket distribution source code is in other repositories, mostly under the Racket GitHub organization. Racket programmers typically program with functions, records, objects, exceptions, regular expressions, modules, and threads. That is, instead of a “minimalist” language, which is the way that Scheme is often described, Racket offers a rich language with an extensive set of libraries and tools. ... -
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Mastra
The TypeScript AI agent framework
...It integrates cleanly with React, Next.js, and Node-based backends, but can also run as a standalone server, giving teams flexibility in how they deploy their AI logic. At its core, Mastra provides abstractions for agents, workflows, tools, memory, retrieval, and model routing, so developers can focus on specifying behavior rather than wiring infrastructure from scratch. Model routing lets you connect to dozens of providers (OpenAI, Anthropic, Gemini, and others) through a single standardized interface, while agents orchestrate LLM calls and tools to solve open-ended tasks with internal reasoning loops. ... -
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AI Runner
Offline inference engine for art, real-time voice conversations
...It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. At the core of its LLM stack is a mode-based architecture with specialized “modes” such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents. -
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Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
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PanSou
Network disk resource search API service that supports TG channel
...Results are ranked using source priority, freshness, and keyword signals. An asynchronous plugin system allows new search providers to be added without changing the core service. Memory and disk caching improve repeated-query performance, while optional JWT authentication can protect the API. PanSou is written in Go and can be deployed directly or through Docker and Docker Compose. -
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learn_python3_spider
Python crawler tutorial series, learning Python crawlers from 0 to 1
learn_python3_spider is a tutorial and example-code collection for learning web scraping with Python 3 from beginner to advanced topics. It introduces request capture, browser and mobile traffic inspection, and core scraping libraries such as Requests, BeautifulSoup, Selenium, Appium, and Scrapy. Lessons also cover JSON parsing, regular expressions, concurrency, proxy usage, login handling, and CAPTCHA-related techniques. Data can be stored with CSV, MySQL, or MongoDB examples. More advanced material explores anti-scraping defenses, JavaScript analysis, WebSocket data, and distributed crawlers. ... -
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Shadcn Admin Dashboard
Admin Dashboard UI built with Shadcn and Vite
...The interface includes more than ten pages, a built-in sidebar, global command search, and additional custom components. Light and dark themes help the dashboard adapt to different working environments. Accessibility and responsive behavior are treated as core design requirements rather than optional additions. Several shadcn components are modified to improve right-to-left language support. TanStack Router handles navigation, while Tailwind CSS and Radix UI provide styling and accessible primitives. -
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k8s_PaaS
How to deploy to PaaS/DevOps
k8s_PaaS is a hands-on Chinese tutorial project for building a complete PaaS and DevOps platform on top of Kubernetes. It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments. It explains not only what to do, but also why each step matters and how to complete it in a working environment. ... -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
react-native-fast-tflite is a high-performance TensorFlow Lite library for React Native applications. It is built with Nitro Modules and uses the low-level C and C++ TensorFlow Lite core API for direct memory access. The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. ... -
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Nitro Modules
Insanely fast native C++, Swift or Kotlin modules
Nitro is a React Native native-module system for building very fast C++, Swift, and Kotlin modules with statically compiled bindings to JSI. 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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improve
Use your most capable model to audit your codebase
improve is an agent skill that audits a codebase and writes implementation plans for other agents or humans to execute. 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. -
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Ch
Lightweight powerful CLI tool for terminal-based AI interaction
...The project is built for developers who want rapid AI assistance without opening a browser or using a heavy desktop app. It emphasizes transparent operations and user control, making it suitable for terminal-first workflows. Ch aims to preserve Cha’s core functionality while improving speed, packaging, and everyday usability. It is especially useful for programmers, system users, and productivity-focused terminal users who want an efficient AI assistant in their command-line environment. -
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Beast
HTTP and WebSocket built on Boost.Asio in C++11
...Beast follows Boost.Asio’s asynchronous model, so it fits naturally into event-driven C++ networking applications. Its algorithms are role-agnostic, meaning the same core abstractions can be used to build client-side and server-side systems. The library provides protocol vocabulary types, parsers, serializers, examples, and reusable patterns for robust network programming. It is especially useful for C++ developers who want fine-grained control over HTTP and WebSocket behavior while staying within the Boost ecosystem. -
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Agent Control
Centralized agent control plane for governing runtime agent behavior
Agent Control is a centralized control plane for governing AI agent behavior at runtime across different frameworks and deployment environments. It lets teams define controls once and apply them consistently to agents without rewriting the agent’s core code. The platform evaluates agent inputs and outputs against configurable policies to reduce risks such as prompt injection, unsafe responses, sensitive data exposure, and policy drift. It is designed for production environments where organizations need observability, enforcement, and governance around autonomous or semi-autonomous AI systems. ... -
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holaOS
An Open Agent Computer for ANY digital work
holaOSc is an AI-native operating system concept designed to integrate intelligent agents directly into the core of the computing environment. It provides a framework where AI agents manage tasks, workflows, and interactions across applications. The system emphasizes seamless automation, allowing users to interact with their computer through natural language and high-level instructions. It integrates memory, context awareness, and task orchestration into a unified environment. ... -
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StreamPot
Run FFmpeg as an API with fluent-ffmpeg compatibility, queues and S3
...It enables users to upload video content, process it into multiple formats, and deliver it efficiently across different devices and network conditions. The system supports adaptive bitrate streaming, allowing videos to be optimized dynamically based on viewer bandwidth. It integrates FFmpeg as its core processing engine, enabling advanced encoding and transformation workflows. StreamPot is designed for deployment in cloud environments, supporting containerization and distributed processing. It also includes tools for managing media assets, monitoring processing jobs, and integrating with frontend applications. Overall, it functions as a backend infrastructure for building video streaming services. -
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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... -
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Spacesuit
A futuristic canvas for your personal development
Spacesuit is a cross-platform personal knowledge and self-development application designed as a flexible, spatial workspace that replaces traditional note-taking hierarchies with a freeform, visual canvas. At its core, the system introduces a concept called “The Grid,” a dynamic environment where users can place, organize, and connect information without relying on folders or rigid structures, allowing ideas to evolve organically. Instead of conventional documents, Spacesuit uses modular “Cards” that act as resizable containers for thoughts, tasks, references, and media, enabling users to structure information in a highly customizable and visual way. ... -
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Nothing Ever Happens
Focused async Python bot for Polymarket
...The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of prediction market outcomes resolve negatively, and it attempts to exploit this base-rate bias through systematic participation rather than predictive modeling. The bot includes a safety-oriented design with explicit environment variable requirements to enable live trading, ensuring that users consciously opt into real financial risk, along with a paper trading mode for testing without capital exposure. -
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Gameboy
Full featured Cross-platform GameBoy emulator by Rust
...It is designed as a clean implementation of the Game Boy architecture, typically written in a high-level language such as Python or Rust depending on the version, making it approachable for developers studying emulator design. The project emphasizes core components such as CPU instruction decoding, memory management, and basic graphics rendering, providing insight into how the original hardware operates. It is often used as a learning tool for understanding low-level system emulation, including timing, interrupts, and cartridge handling. Compared to more advanced emulators, it may lack full feature parity or optimization, but it compensates with readability and conceptual transparency. ... -
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mruby
Lightweight Ruby
...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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ShoppingAgent
Custom Chinese chatbot with Seq2Seq, GPT, and agent features
...ShoppingAgent is structured to support experimentation across different deep learning frameworks such as TensorFlow, PyTorch, and MindSpore, giving developers flexibility in how they train and deploy models. In addition to core chatbot functionality, the project introduces agent-based capabilities, enabling practical use cases like automated workflows and task-oriented assistants. It also includes support for small language models and local training scripts, making it accessible for users with limited computational resources. ShoppingAgent can be applied to scenarios such as customer service, question answering, and casual conversation. -
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course.fast.ai
The fast.ai course notebooks
course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze results directly in Jupyter notebooks. The repository includes lesson notebooks, slide presentations, spreadsheets, and supplementary materials that help students understand neural networks, computer vision, and natural language processing tasks. ...
