Showing 3641 open source projects for "process"

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  • 1
    Respect\Validation

    Respect\Validation

    The most awesome validation engine ever created for PHP

    ...To do this, you will need to create a rule and an exception to go with the rule. Each rule must have an Exception to go with it. Exceptions should be named with the name of the rule followed by the word Exception. The process of creating an Exception is similar to creating a rule but there are no methods in the Exception class. On oldest versions of Respect\Validation all validators treat input as optional and accept an empty string input as valid. Even though a useful feature that caused a lot of troubles for our team and neither was an obvious behavior. ...
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  • 2
    checkstyle

    checkstyle

    Development tool to help programmers write standard Java code

    Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. It automates the process of checking Java code to spare humans of this boring (but important) task. This makes it ideal for projects that want to enforce a coding standard. Checkstyle is highly configurable and can be made to support almost any coding standard. An example configuration files are supplied supporting the Sun Code Conventions, Google Java Style.
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  • 3
    Typecho Blogging Platform

    Typecho Blogging Platform

    A PHP blogging platform, simple and powerful

    ...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. Read the documentation, to make a unique website, and wait for your friends' reaction.
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  • 4
    SocketRocket

    SocketRocket

    A conforming Objective-C WebSocket client library

    A conforming WebSocket (RFC 6455) client library for iOS, macOS and tvOS. SocketRocket currently conforms to all core ~300 of Autobahn's fuzzing tests (aside from two UTF-8 ones where it is merely non-strict tests 6.4.2 and 6.4.4). SocketRocket is asynchronous and non-blocking. Most of the work is done on a background thread. You can include SocketRocket as a subproject inside of your application if you'd prefer, although we do not recommend this, as it will increase your indexing time...
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  • 5
    Pure

    Pure

    Pretty, minimal and fast ZSH prompt

    ...Command execution time will be displayed if it exceeds the set threshold. Username and host only displayed when in an SSH session or a container. Shows the current path in the title and the current folder & command when a process is running. Support VI-mode indication by reverse prompt symbol (Zsh 5.3+). Makes an excellent starting point for your own custom prompt.
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  • 6
    CXX

    CXX

    Safe interop between Rust and C++

    ...CXX then emits the relevant extern "C" signatures on both sides through a pair of code generators. This is done together with any necessary static assertions needed for later in the build process to verify correctness. The result is an FFI bridge that operates at zero or negligible overhead, with no copying, serialization or memory allocation needed.
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  • 7
    designlang

    designlang

    Extract any website's complete design system with one command

    ...The system includes accessibility analysis features, such as WCAG compliance checks and CSS health audits, helping developers improve usability and standards compliance. It can be used via CLI or browser extension, making it flexible for different workflows. Overall, design-extract automates the process of reverse-engineering design systems, significantly accelerating frontend development.
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  • 8
    Autoskills

    Autoskills

    One command. Your entire AI skill stack. Installed

    ...It also supports integration with environments like Claude Code by generating structured summaries of installed skills. By removing the need for manual configuration, it streamlines the onboarding process for AI-assisted workflows. Overall, autoskills functions as an intelligent automation layer that bridges project context with AI tooling capabilities.
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  • 9
    App Store Screenshots Generator

    App Store Screenshots Generator

    End to end app store screenshot creation using AI

    App Store Screenshots Generator project is an AI-assisted automation tool that generates production-ready App Store screenshots for iOS applications, focusing on marketing-quality visuals rather than raw UI captures. It works by guiding developers through a structured prompt process where they describe their app’s features, branding, and style preferences, and then automatically builds a screenshot generation system using a Next.js-based framework. The tool emphasizes persuasive design, treating screenshots as advertisements with strong copywriting and visual hierarchy rather than simple previews of functionality. ...
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  • 10
    Gemini MCP Tool

    Gemini MCP Tool

    MCP server that enables AI assistants to interact with Google Gemini

    ...The system takes advantage of Gemini’s large context window, enabling deeper analysis of extensive datasets that might otherwise exceed the limits of other models. It supports workflows where users can reference files or directories using simple syntax, allowing the AI to process entire projects or documents in a single request. The tool also includes sandbox execution features, which allow safe testing of code or commands in an isolated environment without affecting the host system.
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  • 11
    yek

    yek

    Serialize repositories into LLM-ready context w/ smart prioritization

    ...It scans projects using .gitignore rules to exclude irrelevant files and automatically filters out binary or oversized content. Yek prioritizes files based on Git history, placing more important content later in the output to align with how language models process context. Yek supports multiple directories, individual files, and glob patterns, making it flexible for different workflows. It can stream output when piped or save results to a temporary file, depending on usage. Configuration is handled through a yek.yaml file, allowing users to define ignore rules and priority settings. By consolidating code and documents into a single, ordered format, Yek simplifies preparing repositories for AI-driven analysis, debugging, or automation tasks.
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  • 12
    DeepAnalyze

    DeepAnalyze

    Autonomous LLM agent for end-to-end data science workflows

    ...DeepAnalyze is capable of conducting open-ended data research across multiple data formats such as structured tables, semi-structured files, and unstructured text, enabling flexible and comprehensive analysis workflows. It integrates execution-based reasoning by generating and running code as part of its analysis process, allowing it to iteratively refine results and produce more accurate outputs. DeepAnalyze provides multiple interaction interfaces, including a web-based UI, a command-line interface, and a Jupyter-style notebook environment for interactive workflows.
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  • 13
    openv0

    openv0

    AI tool for generating modular UI components with live previews

    ...It enables users to generate, iterate, and refine UI components with a live preview system, making it easier to visualize results during development. openv0 is built around a modular architecture, allowing different parts of the generation process to be extended or replaced through plugins. A key aspect of openv0 is its multipass pipeline, where each stage of component generation operates independently, enabling more complex and flexible transformations. It integrates with multiple frontend frameworks and UI libraries, leveraging existing open source ecosystems to build reusable assets. openv0 also supports various icon libraries and emphasizes extensibility for adding new tools, frameworks, and integrations. ...
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  • 14
    Google Cloud Platform Python Samples

    Google Cloud Platform Python Samples

    Code samples used on cloud.google

    Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. The repository is organized into product-specific...
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  • 15
    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 improve productivity when working with large language model coding tools. ...
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  • 16
    Ralph for Claude Code

    Ralph for Claude Code

    Autonomous development loop that iteratively improves projects

    Ralph for Claude Code is an autonomous AI development loop framework designed to continuously iterate on a software project until predefined goals are achieved. It implements a technique that enables Claude Code to repeatedly analyze, modify, and improve a codebase through structured development cycles. It automates the process of running AI-assisted development tasks, allowing the model to progressively refine a project without constant manual intervention. Ralph introduces mechanisms to detect completion signals and determine when the development loop should stop, preventing endless execution cycles. It also includes built-in safeguards such as rate limiting and circuit breaker protections to avoid excessive API usage or runaway processes. ...
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  • 17
    wombat

    wombat

    Lightweight Ruby DSL for scraping structured data from web pages

    Wombat is a lightweight web crawling and scraping library written in Ruby that focuses on extracting structured data from web pages using a concise domain-specific language (DSL). It is designed to simplify the process of defining how information should be collected from HTML documents without requiring large amounts of scraping boilerplate code. Developers can declare the data fields they want and specify selectors or rules for retrieving them, allowing Wombat to parse and return structured results. The DSL approach helps make scraping definitions more readable and maintainable, especially when dealing with multiple fields or nested data structures. ...
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  • 18
    TypeChat

    TypeChat

    Library for building type-safe natural language interfaces with LLMs

    TypeChat is an open source library developed by Microsoft that simplifies the creation of natural language interfaces by using type definitions to structure interactions with large language models. Traditional natural language interfaces often relied on complex decision trees to interpret user intent and gather required inputs. With the rise of large language models, developers can interpret user requests more easily, but they still face challenges related to output reliability, safety, and...
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  • 19
    MLE-bench

    MLE-bench

    AI multi-agent framework for automating data-driven R&D workflows

    ...It uses large language models and multiple collaborating agents to simulate the typical cycle of research, experimentation, and improvement that human data scientists follow. It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. By iterating through these stages, the framework continuously refines models and strategies using feedback from previous results. RD-Agent focuses heavily on automating complex tasks such as feature engineering, model design, and experimentation, which are traditionally time-consuming in machine learning and quantitative research workflows. ...
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  • 20
    AutoTrain Advanced

    AutoTrain Advanced

    Faster and easier training and deployments

    AutoTrain Advanced is an open-source machine learning training framework developed by Hugging Face that simplifies the process of training and fine-tuning state-of-the-art AI models. The project provides a no-code and low-code interface that allows users to train models using custom datasets without needing extensive expertise in machine learning engineering. It supports a wide range of tasks including text classification, sequence-to-sequence modeling, token classification, sentence embedding training, and large language model fine-tuning. ...
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  • 21
    tumblr-crawler

    tumblr-crawler

    Python crawler to download photos and videos from Tumblr blogs

    tumblr-crawler is an open source Python-based utility designed to download media content from Tumblr blogs. It provides a script that automatically retrieves photos and videos from specified Tumblr sites and saves them locally for offline access. Users can specify one or multiple blogs to crawl by editing a configuration file or by passing parameters through the command line. Once executed, the script fetches media from the Tumblr API and stores the downloaded files in folders named after...
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  • 22
    MediaPipe Solutions

    MediaPipe Solutions

    Cross-platform, customizable ML solutions

    MediaPipe is an open-source framework developed by Google for building cross-platform machine learning pipelines that process audio, video, and other streaming data in real time. The system provides developers with tools and reusable components that allow them to combine multiple machine learning models with preprocessing and postprocessing logic into efficient perception pipelines. These pipelines can run on a wide variety of platforms including mobile devices, desktop systems, web browsers, and embedded edge devices. ...
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  • 23
    verl-agent

    verl-agent

    Designed for training LLM/VLM agents via RL

    ...This step-wise interaction model makes it possible to train agents to operate in long-horizon scenarios where decisions depend on cumulative context and previous outcomes. Developers can configure memory modules that determine how historical information is stored and incorporated into each step of the reasoning process.
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  • 24
    Geziyor

    Geziyor

    Blazing fast Go framework for web crawling and data scraping tasks

    ...Geziyor supports use cases such as data mining, monitoring web content, and automated testing workflows. It provides a flexible architecture where developers define parsing functions that process responses and extract the desired data. Geziyor includes features for managing requests, handling cookies, respecting robots rules, and exporting collected data in multiple formats. With built-in tools for caching, metrics collection, and proxy management, it enables developers to build robust and customizable scraping systems using Go.
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  • 25
    SearChat

    SearChat

    Search + Chat = SearChat(AI Chat with Search)

    SearChat is an open-source conversational search platform that combines traditional web search engines with large language model reasoning to create an interactive research environment. The project is designed to transform the process of web searching into a multi-turn conversational experience where users can refine queries and explore results through dialogue. Built using a modern monorepo architecture, the system includes a Node.js and Koa backend alongside a Vue 3 and TypeScript frontend that delivers a responsive chat interface. The platform supports multiple AI providers, allowing developers to connect models from providers such as OpenAI, Anthropic, or Google Gemini to generate contextual responses. ...
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