Search Results for "define" - Page 10
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Showing 1563 open source projects for "define"
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gain
Asyncio-based Python framework for building fast web crawling spiders
...It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and items, allowing them to organize crawling logic and data extraction rules clearly. Gain supports CSS selectors and XPath expressions for parsing page content and extracting specific elements. Gain also allows developers to configure headers, concurrency levels, and proxy settings to control how crawlers interact with target websites. ... -
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Opik
Debug, evaluate, and monitor your LLMapps, RAG systems, and agentic AI
...Log traces during development and in production. Run experiments with different prompts and evaluate against a test set. Choose and run pre-configured evaluation metrics or define your own with our convenient SDK library. Consult built-in LLM judges for complex issues like hallucination detection, factuality, and moderation. -
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acme.sh
A pure Unix shell script implementing ACME client protocol
...After the cert is generated, you probably want to install/copy the cert to your Apache/Nginx or other servers. The ownership and permission info of existing files are preserved. You can pre-create the files to define the ownership and permission. -
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OpenStatus
Status page with uptime monitoring & API monitoring as code
...Built with modern web technologies such as Next.js and Tailwind CSS, openstatus supports both managed deployments and self-hosted environments using lightweight Docker images. Its monitoring-as-code approach allows teams to define checks in YAML and integrate them into CI/CD workflows for automated validation. -
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EyeRest
A lightweight Windows tray application for the 20–20–20 rule
...The application sits quietly in the system tray and uses gentle pop-up notifications or full-screen break prompts to encourage users to rest their eyes, follow the 20-20-20 rule, or complete other scheduled pauses without disrupting workflow. Users can configure how often reminders appear, how long breaks should last, and define quiet hours when reminders are paused — making it adaptable for both focused work and creative sessions. EyeRest typically includes motivational or instructional content during breaks to reinforce good ergonomics, promoting reduced eye strain, improved focus, and overall wellness for anyone who spends extended periods at a computer. -
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simple-java-maven-app
For an introductory tutorial on how to use Jenkins
...and includes unit tests to validate functionality, with test results exported in JUnit XML format. The repository provides an example that demonstrates how to configure a Jenkins Pipeline for building and delivering applications. It also includes scripts that define commands executed in pipeline stages, showcasing automation in continuous integration and delivery (CI/CD). This project is designed as an entry-level resource for developers learning Jenkins. By following the tutorial, users gain practical experience in setting up pipelines and integrating testing with Maven. -
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Amazon Elastic Block Store CSI driver
CSI driver for Amazon EBS
Amazon Elastic Block Store (Amazon EBS) is an easy-to-use, scalable, high-performance block-storage service designed for Amazon Elastic Compute Cloud (Amazon EC2). The Amazon Elastic Block Store Container Storage Interface (CSI) Driver provides a CSI interface used by Container Orchestrators to manage the lifecycle of Amazon EBS volumes. -
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a11y.css
This CSS file intends to warn developers about possible risks
...It only intends to show possible weaknesses. You should obviously do some manual check by hand to know whether the code should or should not be fixed. You can also use the form on the left sidebar to define the minimum level and language, in order to generate a custom bookmarklet. Then simply drag the green button to your bookmarks, and you're done! You're now able to use a11y.css on every page you visit by simply clicking on this bookmark. -
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Mercury
Convert Python notebook to web app and share with non-technical users
...We provide Mercury Pro with additional features, dedicated support and friendly commercial license. Mercury is a perfect tool to convert Python notebook to interactive web application and share with non-programmers. You define interactive widgets for your notebook with the YAML header. Your users can change the widgets values, execute the notebook and save result (as PDF or html file). You can hide your code to not scare your (non-coding) collaborators. Easily deploy to any server. Mercury is dual-licensed. Looking for dedicated support, a commercial-friendly license, and more features? ... -
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morgan
HTTP request logger middleware for node.js
...This means that a requests will be logged even if the server crashes, but data from the response (like the response code, content length, etc.) cannot be logged. To define a token, simply invoke morgan.token() with the name and a callback function. -
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Hakyll
A static website compiler library in Haskell
Hakyll is a Haskell library for building static websites. It uses a highly configurable domain-specific language (DSL) embedded in Haskell, enabling users to define content compilation pipelines in code. It’s ideal for blogs and small-to-medium websites, with support for Markdown, Pandoc, and syntax highlighting. Hakyll is a static site generator library in Haskell. More information (including a tutorial) can be found on the Hakyll homepage. You can install this library using cabal. If Stack fails, please see which Stackage snapshots contain Hakyll and specify one explicitly. -
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Skills Service
SkillTree is a micro-learning gamification platform
Skills Service is an open-source microservice developed by the NSA that provides gamified skills tracking for developers. It enables organizations to define, track, and reward skill acquisition and progress through a customizable and modular system. Developers earn points and levels by completing tasks or learning activities, with progress tracked via a web UI or REST API. It is designed to foster a culture of continuous learning, provide visual skill feedback, and promote user engagement within teams or educational settings. -
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Retrofit
Type-safe HTTP client for Android and Java by Square
Retrofit is a type-safe HTTP client for Android and Java developed by Square. It allows developers to define REST API calls using simple interface annotations, automatically converting responses into Java objects using converters like Gson or Moshi. Retrofit greatly simplifies network requests by abstracting away boilerplate code, making API integration in mobile and Java apps seamless and maintainable. -
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SLM Lab
Modular Deep Reinforcement Learning framework in PyTorch
...It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently. -
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tracetest
Build integration and end-to-end tests in minutes
Tracetest is a trace-based testing tool for integration and end-to-end testing using OpenTelemetry traces. Verify end-to-end transactions and side effects across microservices & event-driven apps by using trace data as test specs. Cypress and Selenium are constrained by using the browser for testing. Tracetest bypasses this entirely by using your existing OpenTelemetry instrumentation and trace data to run tests and assertions against traces in every step of a request transaction. -
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React DayPicker
Date picker component for React
Flexible, highly customizable, localizable, with ARIA support, no external dependencies, 7.4kB gzipped. Define the disabled or selected days and change the aspect of each day cell with modifiers. Display the date picker in an overlay using the DayPickerInput component. Specify which days should be selected in your component’s state. Use your own translation strings or import those from moment.js, if you use it. react-day-picker is designed to cover the most common needs for a date picker in web applications. ... -
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Inbox Zero
AI assistant that automates email tasks to help achieve inbox zero
...It aims to reduce the time spent handling email by automatically organizing, prioritizing, and responding to messages using customizable automation rules and artificial intelligence. Users can define prompts or rule-based actions that guide how the assistant processes incoming messages, enabling automated workflows for sorting, replying, or handling routine communication. Inbox Zero is structured as a modern web application built with a monorepo architecture that contains multiple applications and shared packages, allowing modular development and easier maintenance. ... -
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IRremoteESP8266
Infrared remote library for ESP8266/ESP32
...You will need to change your usage to work with v2.0 and beyond. You can read more about the changes required on our Upgrade to v2.0 page. The library has changed from using constants declared as #define to const with the appropriate naming per the C++ style guide. This may potentially cause old programs to not compile. The most likely externally used #defines have been aliased for limited backward compatibility for projects using the old style. Going forward, only the new constant name style will be supported for new protocol additions. -
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SwiftLint
A tool to enforce Swift style and conventions
A tool to enforce Swift style and conventions, loosely based on the now archived GitHub Swift Style Guide. SwiftLint enforces the style guide rules that are generally accepted by the Swift community. These rules are well described in popular style guides like Ray Wenderlich’s Swift Style Guide. SwiftLint hooks into Clang and SourceKit to use the AST representation of your source files for more accurate results. You might want to move your SwiftLint phase directly before ‘Compile Sources’... -
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ffmpy
Pythonic interface for FFmpeg/FFprobe command line
ffmpy is a Python wrapper that provides a simple and Pythonic interface for constructing and executing FFmpeg and FFprobe command-line operations. It abstracts command generation into structured Python objects, making it easier to define inputs, outputs, and parameters programmatically. The library uses Python’s subprocess module to run compiled commands, ensuring compatibility with standard FFmpeg installations. It is designed for developers who want to automate media processing tasks without manually writing complex command strings. ffmpy supports flexible argument configuration, enabling a wide range of transcoding and analysis workflows. ... -
21
Sanity
Rapidly configure content workspaces powered by structured content
...At the core of the system is Sanity Studio, a customizable editing environment built with React that can be configured to match the workflows and content models of different teams. Instead of using predefined content templates, Sanity allows developers to define schemas in code that determine how content is structured and stored. The platform stores data in a real-time backend called the Content Lake, enabling collaborative editing and instant updates across connected applications. Because the system separates content management from presentation, developers can use any front-end framework to display the data. ... -
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Pixeltable
Data Infrastructure providing an approach to multimodal AI workloads
...Unlike traditional architectures that require multiple tools such as databases, vector stores, and workflow orchestrators, Pixeltable unifies these functions within a table-based abstraction. Developers define data transformations and AI operations using computed columns on tables, allowing pipelines to evolve incrementally as new data or models are added. The framework supports multimodal content including images, video, text, and audio, enabling applications such as retrieval-augmented generation systems, semantic search, and multimedia analytics. -
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Vibe Kanban
Get 10X more out of Claude Code, Codex or any coding agent
...As AI agents such as Claude Code, Gemini CLI, Codex, and others are increasingly used to generate and update code autonomously, developers often end up spending more time monitoring and sequencing these agents than writing or reviewing meaningful work. Vibe Kanban tackles this by enabling users to define tasks as cards on a board, assign those tasks to one or more coding agents, and then track progress and outcomes as each agent executes in the background with its own isolated workspace. It supports running multiple agents in parallel or in sequence, giving engineers the freedom to plan, review, and address higher-level concerns while AI helpers execute individual pieces of work. -
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Android Emulator Container Scripts
Minimal scripts to run the emulator in a container for various systems
...A built-in WebRTC bridge lets you stream the emulator screen to a browser with interactive input, which is ideal for CI dashboards, remote debugging, or demo environments. The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. GPU acceleration, audio, and sensors can be enabled depending on your host and cluster capabilities, while fallbacks like SwiftShader keep things usable when no GPU is available. -
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TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms—such as AB‑MCTS—for enhancing inference-time performance of large language models (LLMs). 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
