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Showing 29265 open source projects for "json-simple"
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Night Owl
VS Code dark theme for contrast for nighttime coding
Night Owl is a theme for Visual Studio Code designed by Sarah Drasner to provide a comfortable, high-contrast coding environment especially optimized for late-night development sessions and users who prefer dark themes. It also includes a “Light Owl” variant for daytime or brighter environments, giving users a consistent visual identity whether coding at night or day. The color palette is carefully chosen, with accessibility in mind (including better visibility for color-blind users) and... -
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EventEmitter3
Because there's also a number 2. And we're faster
EventEmitter3 is a high-performance event emitter for Node.js and the browser, providing a lightweight and efficient solution for managing events and event listeners in JavaScript applications. -
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Dashy
A self-hostable personal dashboard built for you
...Once enabled, a small dot next to each app will show weather it is up and online, with more info like response time visible on hover. Need to protect your dashboard, the simple auth feature is super quick to enable, and has support for multiple users with granular controls. Dashy also has built-in support for Keycloak and other SSO providers. -
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MudBlazor
Do more with Blazor, utilizing CSS and keeping Javascript to a minimum
...We help companies build amazing apps in record time and let them focus on their business instead of buttons, MudBlazor is battle-tested and one of the fastest-improving platforms, and much more. We started MudBlazor with a simple promise, to empower the developer and fully take advantage of what Blazor offers. With MudBlazor you can create exceptional apps without the burden of mastering HTML, CSS and JS and focus your skillset on C#. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
AutomatedLab is a provisioning solution and framework that lets you deploy complex labs on HyperV and Azure with simple PowerShell scripts. It supports all Windows operating systems from 2008 R2 to 2019, some Linux distributions and various products like AD, Exchange, PKI, IIS, etc. AutomatedLab (AL) enables you to setup test and lab environments on Hyper-v or Azure with multiple products or just a single VM in a very short time. There are only two requirements you need to make sure: You need the DVD ISO images and a Hyper-V host or an Azure subscription. ... -
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Slim
PHP micro framework that helps you quickly write web applications
We recommend you install the Slim Framework with the Composer dependency manager. The easiest way to start working with Slim is to create a project using Slim-Skeleton as a base by running a bash command. Slim provides a fast and powerful router that maps route callbacks to specific HTTP request methods and URIs. It supports parameters and pattern matching. Build your application with concentric middleware to tweak the HTTP request and response objects around your Slim app. Slim supports any... -
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OpenAI-Compatible Edge-TTS API
Free, high-quality text-to-speech API endpoint to replace OpenAI
OpenAI-Compatible Edge-TTS API is a local, OpenAI-compatible text-to-speech API that uses edge-tts—Microsoft Edge’s online TTS service—as the backend. The project emulates the /v1/audio/speech endpoint used by OpenAI, so any client that can talk to the OpenAI TTS API can be redirected to this service with minimal changes. It exposes parameters for input text, voice selection, audio format, and playback speed, mirroring the OpenAI interface while mapping popular OpenAI voice names to... -
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leafmap
A Python package for interactive mapping and geospatial analysis
A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It... -
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rbenv
Groom your app’s Ruby environment
...The Ruby version dependency lives in one place—your app—so upgrades and rollbacks are atomic, even when you switch versions. One thing well. rbenv is concerned solely with switching Ruby versions. It's simple and predictable. A rich plugin ecosystem. -
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Ollama-Laravel Package
Ollama-Laravel is a Laravel package providing seamless integration
...The package supports a wide range of AI capabilities including text generation, chat-based interactions, embeddings, and multimodal vision analysis, making it suitable for both simple features and complex AI-driven systems. It also includes support for reasoning models and function calling, enabling developers to build more advanced workflows where models can trigger tools or structured actions. Real-time streaming responses are supported, allowing applications to deliver incremental outputs for better user experience. -
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Writer Framework
No-code in the front, Python in the back. An open-source framework
Writer Framework is an open source platform designed to help developers build AI-powered applications by combining a visual interface builder with a Python-based backend architecture. It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large... -
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Factory AI
Agent-Native Software Development
...At its core, the system introduces the concept of “Droids,” specialized AI agents that operate across development environments such as the command line, web interfaces, project management tools, and communication platforms, enabling seamless interaction with engineering workflows. Rather than acting as a simple coding assistant, Factory is positioned as a full command center for development, where AI agents can autonomously write code, review pull requests, debug issues, and even coordinate tasks across tools like GitHub, Jira, or Slack. The platform integrates deeply with existing repositories and infrastructure, allowing it to analyze source code, monitor logs, and use contextual data from observability systems to make informed decisions. -
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message-pusher
Build your own message push service, support multiple message push
message-pusher is a lightweight notification service designed to send real-time messages across different channels, enabling developers to deliver alerts, updates, or system events efficiently. The project focuses on simplicity and flexibility, allowing users to configure message delivery without relying on complex infrastructure or heavyweight messaging systems. It supports integration with various notification platforms, making it useful for monitoring systems, automation pipelines, or... -
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Ruler AI
Centralize and sync AI coding rules across tools and projects
...Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a codebase. It also manages MCP server settings, automates .gitignore updates, and provides simple commands to initialize, apply, and revert configurations. Designed for teams using multiple AI agents, it improves workflow consistency, simplifies onboarding, and ensures all assistants follow the same standards across projects. -
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Youtu-Agent
A simple yet powerful agent framework that delivers with models
Youtu-Agent is an open-source framework developed to simplify the creation, execution, and evaluation of autonomous AI agents. The system focuses on reducing the complexity traditionally involved in configuring large language model agents by providing a modular architecture that separates execution environments, tools, and context management. This structure allows developers to rapidly assemble agent systems capable of performing tasks such as research, file processing, and data analysis.... -
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OM1
Modular AI runtime for robots
...The project focuses on creating a modular architecture where language models can coordinate with external tools, APIs, and knowledge sources to accomplish multi-step objectives. Instead of operating as simple conversational systems, OM1 agents can plan actions, retrieve information, and execute tasks across different services. The framework integrates reasoning modules, planning strategies, and tool interfaces that allow agents to operate in dynamic environments. Developers can extend the system by connecting new tools, services, or data sources to the agent architecture. ... -
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All Agentic Architectures
Implementation of 17+ agentic architectures
...Each architecture is explained through runnable notebooks that illustrate how the agent works internally and how it interacts with tools, data sources, or other agents. The repository organizes the architectures into a structured learning path that progresses from simple reasoning agents to complex multi-agent systems. Examples include planning agents, tool-using agents, tree-of-thought reasoning systems, and collaborative multi-agent environments. -
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Context Engineering
A frontier, first-principles handbook
Context Engineering is a comprehensive, open-source project serving as a first-principles handbook for the emerging discipline of context design and optimization in AI. Moving beyond traditional prompt engineering, this repository defines and explores how to craft and provide complete context payloads — not just single prompts — to large language models so they can perform tasks more reliably and intelligently. It takes inspiration from thought leaders like Andrej Karpathy and bridges theory... -
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Its Hover
Icons that move with intent
...The project is designed to drop cleanly into modern React stacks, including Next.js and shadcn/ui-based projects, with Tailwind-friendly styling patterns. Installation can be as simple as pulling in specific icons and their dependencies, and it supports a registry-style workflow that fits teams that want consistency across products. It’s also meant to be forked and modified: you can copy the source of any icon, tweak the animation curves, adjust stroke width, and refine styling to match your system. -
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nanocode
Minimal Claude Code alternative. Single Python file, zero dependencies
...It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows. It includes a set of integrated tools such as read, write, edit, glob, grep, and bash that let the agent interact with the file system and shell commands directly from the terminal, and it keeps a conversation history with colored terminal output for readability. The project exemplifies how lightweight architectures can still support practical agent workflows without complex infrastructure, making it suitable for developers exploring agent frameworks or building custom coding assistants. -
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NovaSR
A lightning fast audio upsampler
NovaSR is an extremely lightweight and high-performance audio upsampling model that transforms low-quality 16 kHz audio into clearer, high-fidelity 48 kHz audio with remarkable speed and efficiency. At only about 50 KB in size, the model is orders of magnitude smaller than typical audio super-resolution networks, yet it achieves high quality and realtime performance thanks to its compact architecture and efficient convolutional design. NovaSR is especially valuable for post-processing tasks... -
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UI Skills
A growing set of skills to polish interfaces built by agents
...The project includes skills like baseline UI normalization, accessibility enhancements, metadata corrections, and motion performance optimizations, which can be selectively applied or run as a batch across a codebase. Developers can install and manage these skills through a simple CLI or package installer to apply reviews and transformations in their local or CI environment, helping enforce UI standards. -
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Koito
Koito is a modern, themeable scrobbler
Koito is a lightweight, self-hostable collaborative knowledge base and note-taking platform designed to help teams and individuals capture, organize, and link ideas with the reliability of a local or private server rather than relying on managed SaaS tools. It combines concepts from wikis, Zettelkasten systems, and modern note apps by letting you create interconnected notes, bidirectional links, and structured collections that mirror how knowledge naturally grows. The interface supports... -
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Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes
...It introduces a declarative syntax for specifying build scripts, automation pipelines, environment setups, and project-specific commands so contributors don’t need to memorize disparate scripts or tooling across languages and ecosystems. Cua can also manage task dependencies, handle cross-platform invocations, and simplify complex workflows into simple aliases or compound commands that are easy to share in teams. By centralizing shared commands in a structured, documented config, it helps reduce errors, accelerates onboarding of new contributors, and keeps task definitions versioned with the codebase. The CLI is typically lightweight, easy to install, and designed to integrate with existing toolchains and shells without friction. -
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Memories
Build a full stack MERN application
Project MERN Memories is a full-stack application built as a learning tutorial, using the MERN stack: React on the front end, Node.js and Express on the back end, and MongoDB for data persistence. The app is called “Memories” and allows users to post interesting events from their lives (memories), providing a simple social media–style interface and back-end API to support create, read, update, delete of posts. The repository is tied to a video tutorial series that covers the project from start to finish, ideal for developers learning full-stack workflows. The codebase is split into client and server folders for separation of concerns, and uses common patterns like REST APIs, React state management, and MongoDB models. ...
