Showing 16092 open source projects for "interface"

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  • 1
    bandwhich

    bandwhich

    Terminal bandwidth utilization tool

    bandwhich sniffs a given network interface and records IP packet size, cross referencing it with the /proc filesystem on linux, lsof on macOS, or using WinApi on windows. It is responsive to the terminal window size, displaying less info if there is no room for it. It will also attempt to resolve ips to their host name in the background using reverse DNS on a best effort basis. bandwhich can be installed using the Rust package manager, cargo.
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  • 2
    Typecho Blogging Platform

    Typecho Blogging Platform

    A PHP blogging platform, simple and powerful

    ...Native support for Markdown typesetting syntax, easy to read and write. Support various cloud hosts such as BAE/GAE/SAE, even in the face of sudden high traffic, it can easily cope with it. The meticulously polished operation interface is still a familiar feature, but more mature and with more options. The tailoring of every pixel is one step further from perfection. Choose a reliable hosting provider who can provide support services for the installation process. Download the version of the program that suits you and install it. The program will run in a second. ...
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  • 3
    RxSwift

    RxSwift

    Reactive Programming in Swift

    Rx is a generic abstraction of computation expressed through Observable<Element> interface, which lets you broadcast and subscribe to values and other events from an Observable stream. RxSwift is the Swift-specific implementation of the Reactive Extensions standard. While this version aims to stay true to the original spirit and naming conventions of Rx, this projects also aims to provide a true Swift-first API for Rx APIs.
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  • 4
    FlowGram

    FlowGram

    Extensible workflow development framework

    FlowGram is an open-source, node-based workflow development framework and toolkit aimed at helping developers build custom AI-workflow platforms or automation systems through a visual, drag-and-drop interface. Instead of shipping as a ready-made product, it provides the building blocks — a canvas for wiring together nodes, a form engine for configuring node parameters, a variable-scope and type-inference engine, and a set of “materials” (pre-built node types such as code execution, conditional logic, LLM calls, etc.) that can be composed into larger workflows. ...
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  • 5
    birdclaw

    birdclaw

    Stores all your tweets nicely claw-able for agents

    birdclaw is a local-first Twitter workspace designed for archiving, organizing, searching, and interacting with Twitter or X content in a structured environment. The project combines a web application and command-line interface to help users import personal archives, cache live content locally, and manage replies or engagement workflows from a centralized system. Its architecture prioritizes data ownership and offline accessibility, allowing users to retain searchable records of posts, likes, bookmarks, and conversations without depending entirely on external platforms. birdclaw also supports synchronization and filtering features that make large archives easier to navigate and analyze. ...
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  • 6
    Neuro SAN Studio

    Neuro SAN Studio

    A playground for neuro-san

    Neuro SAN Studio is a development environment and playground for building, testing, and deploying multi-agent AI systems using the Neuro SAN framework. It provides a hands-on interface where users can design agent networks, run experiments, and observe how multiple agents collaborate to solve complex tasks. The platform is built around a data-driven approach, where entire agent systems can be defined using configuration files rather than extensive code, making it accessible to both developers and domain experts. ...
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  • 7
    Scweet

    Scweet

    Scrape tweets, profiles, followers and following from Twitter/X

    ...It is built for both local use and higher-volume runs, with support for proxies, dedicated accounts, and multi-account cookie handling to improve reliability at scale. Scweet also includes asynchronous method variants, a command-line interface, automatic credential persistence in a local database, etc.
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  • 8
    Files

    Files

    A nicer way to handle files & folders in Swift

    Files is a lightweight Swift library that provides a more expressive and user-friendly interface for working with files and directories compared to the native FileManager API. It abstracts common file system operations into an object-oriented model, enabling developers to interact with files and folders using intuitive constructs such as Folder and File types. The library simplifies tasks like reading, writing, moving, renaming, and deleting files while maintaining robust error handling through Swift’s try-catch mechanisms. ...
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  • 9
    ProxyAI

    ProxyAI

    The leading open-source AI copilot for JetBrains

    ...ProxyAI enhances productivity by enabling natural language-driven code editing, intelligent autocompletion, and automated generation of commit messages, all within the IDE interface. Its architecture supports extensibility and personalization, allowing users to tailor the assistant’s behavior through different personas.
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  • 10
    ai-renamer

    ai-renamer

    A Node.js CLI that uses Ollama and LM Studio models

    ai-renamer is a Node.js-based command-line tool that uses large language models to automatically rename files based on their content, enabling more meaningful and organized file management. Instead of relying on manual naming or metadata, the tool analyzes the actual content of files, including images, videos, and documents, to generate descriptive and context-aware filenames. It integrates with local and cloud-based AI providers such as Ollama, LM Studio, and OpenAI, allowing users to...
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  • 11
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    ...This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. By exposing Colab as an MCP server, the tool enables seamless integration with a wide range of AI assistants and agent frameworks, creating a standardized interface for tool use and execution.
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  • 12
    Shadcn UI v4 MCP Server

    Shadcn UI v4 MCP Server

    A mcp server to allow LLMS gain context about shadcn ui component

    Shadcn UI v4 MCP Server is a Model Context Protocol server that enables AI assistants to access, retrieve, and utilize shadcn/ui component libraries within development workflows, effectively bridging UI component systems with AI-driven coding tools. It provides structured access to component source code, demos, metadata, and reusable UI blocks, allowing AI agents to generate accurate and production-ready interface implementations. The server supports multiple frontend frameworks including React, Svelte, Vue, and React Native, making it highly versatile for cross-platform development. It includes smart caching and efficient GitHub API usage to optimize performance and handle rate limits during component retrieval. The system also supports multiple transport modes such as standard input/output and Server-Sent Events, enabling both local and distributed deployments.
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  • 13
    Browserbase MCP Server

    Browserbase MCP Server

    Allow LLMs to control a browser with Browserbase and Stagehand

    Browserbase MCP Server is a server implementation of the Model Context Protocol (MCP) that enables large language models to interact with web browsers programmatically through cloud-based automation. The project provides a standardized interface for connecting AI systems to real-world web environments, allowing them to navigate pages, extract structured data, and perform user-like actions such as clicking, typing, and form submission. It leverages Browserbase infrastructure along with Stagehand to deliver high-performance browser automation with improved speed and efficiency through caching and optimized execution pipelines. ...
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  • 14
    ToolUniverse

    ToolUniverse

    Democratizing AI scientists with ToolUniverse

    ...Instead of requiring custom pipelines or fine-tuning, ToolUniverse wraps around existing models and enables them to reason, experiment, and iterate on complex workflows such as drug discovery, data analysis, and hypothesis testing. The platform abstracts tool usage behind a consistent interface, allowing AI agents to compose multi-step workflows, refine tool definitions automatically, and even generate new tools from natural language descriptions.
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  • 15
    Preswald

    Preswald

    Python tool for browser-based interactive data apps in one file

    Preswald is an open source Python-based framework and static-site generator designed for building interactive data applications that run entirely in the browser. It packages application logic, data processing, and user interface components into a single self-contained output, enabling easy sharing and deployment without requiring local dependencies. Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. This approach allows developers to create dashboards, reports, notebooks, and data tools that are portable, fast, and capable of running offline. ...
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  • 16
    Bear Stone Smart Home

    Bear Stone Smart Home

    Custom Home Assistant configuration with automations and scripts setup

    ...Bear Stone Smart Home also showcases custom automations and scripts designed to improve convenience, energy efficiency, and overall smart home behavior. Additionally, it may include examples of dashboards and user interface customization to enhance usability and visualization of home data. Overall, it serves as a practical reference for building and refining a tailored Home Assistant setup.
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  • 17
    Qodo Cover

    Qodo Cover

    AI tool that generates tests to improve code coverage quickly

    Qodo Cover is an open source developer tool designed to automate the creation of unit tests using generative AI, helping teams improve code coverage with minimal manual effort. It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas. It follows an iterative workflow where generated tests are executed, validated, and refined to ensure they contribute meaningful coverage improvements. ...
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  • 18
    DeepReasoning

    DeepReasoning

    High-performance API combining reasoning and creative AI models

    ...It combines DeepSeek R1’s chain-of-thought reasoning with Claude’s strengths in code generation and conversational output, enabling more capable and balanced responses. DeepReasoning provides both an API and a chat interface, allowing developers and users to interact with the combined models in a streamlined way. It emphasizes real-time streaming responses, where reasoning and final answers can be delivered efficiently in a single flow. Built with Rust, the backend focuses on performance, low latency, and efficient resource usage for demanding workloads. ...
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  • 19
    WhatsApp MCP Server

    WhatsApp MCP Server

    WhatsApp MCP server enabling AI access to chats and messaging

    whatsapp-mcp is an open source Model Context Protocol (MCP) server that enables AI agents to interact directly with a user’s WhatsApp account through a structured interface. It acts as a bridge between WhatsApp and large language models, allowing controlled access to messages, chats, and contacts. whatsapp-mcp is composed of two main components: a Go-based bridge that connects to the WhatsApp Web API and stores data locally, and a Python-based MCP server that exposes tools for AI interaction. All message data is stored in a local SQLite database and is only accessed when explicitly requested through defined tools, giving users control over how their data is used. ...
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  • 20
    ZCF

    ZCF

    Zero-config CLI tool for Claude Code and Codex setup fast

    ZCF, short for Zero-Config Code Flow, is a command-line tool designed to simplify the setup and management of AI-assisted coding environments using Claude Code and Codex. It provides a one-click or interactive initialization process that automates installation, configuration, and workflow setup, allowing developers to get started within minutes without manual configuration steps. It includes an intelligent agent system and customizable workflows that help structure development tasks and...
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  • 21
    Grafbase

    Grafbase

    The Grafbase GraphQL Federation Gateway

    Grafbase is an open-source GraphQL federation gateway and API platform designed to unify multiple backend services and data sources into a single, high-performance GraphQL interface. The project provides a Rust-based gateway that acts as the central layer for composing and managing distributed APIs, particularly in microservice architectures where data may come from many independent systems. By supporting GraphQL federation standards, the platform enables teams to combine multiple subgraphs or services into a unified schema that clients can query as a single endpoint. ...
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  • 22
    Text2Code for Jupyter notebook

    Text2Code for Jupyter notebook

    A proof-of-concept jupyter extension which converts english queries

    Text2Code for Jupyter notebook project is a proof-of-concept extension for Jupyter Notebook that allows users to generate Python code directly from natural language queries written in English. The tool is designed to simplify data analysis workflows by enabling users to describe their intended operation in plain language instead of manually writing code. When a user enters a textual command, the extension interprets the request and generates a corresponding Python code snippet that can be...
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  • 23
    LEANN

    LEANN

    Local RAG engine for private multimodal knowledge search on devices

    LEANN is an open source system designed to enable retrieval-augmented generation (RAG) and semantic search across personal data while running entirely on local devices. It focuses on dramatically reducing the storage overhead typically required for vector search and embedding indexes, enabling efficient large-scale knowledge retrieval on consumer hardware. LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing...
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  • 24
    Gitingest

    Gitingest

    Create prompt-friendly codebase digests from any Git repository URL

    Gitingest is a developer utility that converts an entire Git repository into a structured, prompt-friendly text digest suitable for use with large language models. It analyzes a repository and produces a consolidated textual representation that includes the file structure and code content in an organized format. This makes it easier to provide meaningful code context when working with AI systems that require compact, readable inputs. Developers can generate these digests from either a local...
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  • 25
    newspaper4k

    newspaper4k

    Python library for scraping and analyzing online news articles easily

    Newspaper4k is a Python library designed for extracting, processing, and analyzing news articles from websites. It is a continuation and active fork of the original newspaper3k library, which had stopped receiving updates, with the goal of keeping the ecosystem maintained while adding improvements and bug fixes. It provides developers with tools to automatically download web pages, extract the main article content, and collect associated metadata such as titles, authors, images, and...
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