Search Results for "dynamicreports-examples" - Page 73
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Showing 4617 open source projects for "dynamicreports-examples"
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zag
Finite state machines for building accessible design systems and UI
A collection of framework-agnostic UI components patterns like an accordion, menu, and dialog that can be used to build design systems for React, Vue, and Solid.js. Simple, resilient component logic. Write component logic once and use it anywhere. Built-in adapters that connect machine output to DOM semantics in a WAI-ARIA-compliant way. Component logic is largely JavaScript code and can be consumed in any JS framework. Zag machine APIs are completely headless and unstyled. Use your favorite... -
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remark-math
remark and rehype plugins to support math
This project is a monorepo that contains several packages for dealing with math in markdown and HTML. This repository contains unified (rehype and remark) plugins to add support for math. You can use them to add support for parsing and serializing a syntax extension and to render math with KaTeX or MathJax. This project is useful when you want to support LaTeX math. This mechanism works well when you want authors, who have some LaTeX experience, to be able to embed rich diagrams of math to... -
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Jaeger Operator for Kubernetes
Jaeger Operator for Kubernetes simplifies deploying and running Jaeger
The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is both deployed on Kubernetes and managed using the Kubernetes APIs and kubectl (Kubernetes) or oc (OKD) tooling. To be able to make the most of Kubernetes, you need a... -
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AutoMLOps
Build MLOps Pipelines in Minutes
AutoMLOps is a service that generates, provisions, and deploys CI/CD integrated MLOps pipelines, bridging the gap between Data Science and DevOps. AutoMLOps provides a repeatable process that dramatically reduces the time required to build MLOps pipelines. The service generates a containerized MLOps codebase, provides infrastructure-as-code to provision and maintain the underlying MLOps infra, and provides deployment functionalities to trigger and run MLOps pipelines. AutoMLOps gives... -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Hakaton Starter
A boilerplate for Node.js web applications
A boilerplate for Node.js web applications. If you have attended any hackathons in the past, then you know how much time it takes to get a project started: decide on what to build, pick a programming language, pick a web framework, pick a CSS framework. A while later, you might have an initial project up on GitHub, and only then can other team members start contributing. Or how about doing something as simple as Sign in with Facebook authentication? You can spend hours on it if you are not... -
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Tonic
Easy to audit, zero-dependencies and build-tool-free
...No build tools are required. Native web components. Ideal for JAM stacks. Identical on client & server. Composition oriented. Event delegation by default. Lots of examples. Building a component with Tonic starts by creating a function or a class. The class should have at least one method named render which returns a template literal of HTML. onic is a thin wrapper around web components. Web components require a name with two or more parts. So your class name should be CamelCased (starting with an uppercase letter). ... -
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IndraDB
A graph database written in rust
...IndraDB departs from TAO (and most graph databases) in its support for properties. IndraDB offers a variety ways to work with it: as a server with cross-language support, as a rust library, and via CLI. What follows are a few examples of each use case. -
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melonJS
A fresh & lightweight javascript game engine
...Giving you a powerful combination that can be used wholesale or piecemeal. melonJS is a lightweight yet powerful HTML5 framework designed from the ground up to provide a true plugin-free 'write-once, run-everywhere' gaming platform. melonJS is an open-source project and supported by a community of enthusiasts. See our Gallery for a few examples of games powered by melonJS. melonJS integrates the popular Tiled map format, allowing designers easily create levels using the Tiled map editor, and to focus on the game features itself. A fresh and lightweight 2D sprite-based engine. Fast WebGL renderer for desktop and mobile devices with fallback to Canvas rendering. -
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React Dashboard
Isomorphic admin dashboard template
Built with React, Bootstrap, React Router, Redux and GraphQL based on Create React App and latest industry best practices. This seed project is a sort of a free version of a template that may be found on Themeforest or Wrapbootstrap with working backend integration. You may use it to bootstrap the development of your next web app. You can open your web app in a browser, on mobile devices and start hacking. Whenever you modify any of the source files inside the /src folder, the module bundler... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Adafruit Unified Sensor Driver
Common sensor library
Many small embedded systems exist to collect data from sensors, analyze the data, and either take appropriate action or send that sensor data to another system for processing. One of the many challenges of embedded systems design is the fact that parts you used today may be out of production tomorrow, or system requirements may change and you may need to choose a different sensor down the road. Creating new drivers is a relatively easy task, but integrating them into existing systems is both... -
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glider
glider is a forward proxy with multiple protocols support
...Load balancing with the following scheduling algorithm, rr: round robin, ha: high availability, lha: latency based high availability, dh: destination hashing. Rule & priority based forwarder choosing: Config Examples. DNS forwarding server. Force upstream querying by TCP. Association rules between dns and forwarder choosing. Association rules between dns and ipset. dns cache support. Custom dns record. IPSet management (linux kernel version >= 2.6.32). Add ip/cidrs from rule files on startup. Add resolved ips for domains from rule files by dns forwarding server. ... -
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GraphJin
Build NodeJS / GO APIs in 5 minutes not weeks
GraphJin is a magical library that instantly converts simple GraphQL into fast and secure APIs. Works with NodeJS and GO. Supports Postgres, MySQL, Yugabyte, AWS Aurora/RDS and Google Cloud SQL. GraphJin gives you an instant secure and fast GraphQL API without code. Just use a GraphQL query to define your API and GraphJin automagically converts it into a full-featured API. Build your backend APIs 100X faster. Works with NodeJS and GO. Supports several databases, Postgres, MySQL, Yugabyte,... -
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ViZDoom
Doom-based AI research platform for reinforcement learning
ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community.... -
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Minimal Mistakes Jekyll theme
Jekyll theme for building a personal site, blog, project documentation
...If you don’t have this file you’ll need to copy or create one using the theme’s default _config.yml as a base. Take a moment to look over the configuration file included with the theme. Comments have been added to provide examples and default values for most settings. Bundled as a "theme gem" for easier installation/upgrading. -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
...The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support libraries and examples are provided in separate repositories, links to these are provided below. The software currently builds under Linux (desktops variants through to Jetson & Raspberry Pi), Windows (VisualStudio, MinGW & Cygwin), Android, and macOS & iOS (using MoltenVk). -
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Monoio
Rust async runtime based on io-uring
Monoio is a Rust asynchronous runtime designed for high-performance I/O-bound servers and applications, built around native OS async I/O primitives (e.g. io_uring on Linux, epoll / kqueue on other Unix-like systems), rather than layering atop an existing runtime. Its design philosophy centers on a “thread-per-core” model where each core runs its own event loop, minimizing cross-thread synchronization needs, avoiding the overhead and complexity of task scheduling, and letting developers write... -
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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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GC Build official builder images
Builder images and examples commonly used for Google Cloud Build
GC Build official builder images is a repository that provides a collection of prebuilt and customizable container images used with Google Cloud Build to automate CI/CD pipelines. These builder images act as modular steps within build pipelines, allowing developers to perform tasks such as compiling code, running tests, building Docker images, and deploying applications. The repository includes a wide range of builders for different languages, tools, and workflows, enabling flexible and... -
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Generative AI for beginners with JS
Join a time-traveling adventure where you meet history’s legends
Generative AI with JavaScript is an educational repository created by Microsoft that teaches developers how to build applications powered by large language models using the JavaScript ecosystem. The project is structured as a multi-lesson curriculum that introduces the concepts, tools, and practical techniques required to create generative AI applications. Each lesson includes written explanations, hands-on exercises, quizzes, and supporting videos to help developers learn the material... -
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PKU Beaver
Constrained Value Alignment via Safe Reinforcement Learning
...The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both performance preferences and safety constraints across multiple dimensions. These annotations include categories such as harmful language, unethical behavior, privacy violations, and other sensitive topics. By incorporating constraint-based optimization methods, Safe-RLHF trains models that balance reward objectives with safety requirements, ensuring that harmful outputs are penalized during training. -
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Magicoder
Empowering Code Generation with OSS-Instruct
...This technique uses open-source code repositories as a foundation for generating more realistic and diverse instruction datasets for training language models. By grounding training data in real open-source examples, Magicoder aims to reduce bias and improve the reliability of code generation results compared to models trained solely on synthetic instructions. The project includes model implementations, training resources, and evaluation benchmarks that demonstrate how the approach improves instruction-following and code synthesis capabilities. ... -
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AI Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs
AI Agents from Scratch is an educational repository designed to teach developers how to build autonomous AI agents using large language models and modern AI frameworks. The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external... -
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LearnLLM.AI
Sharing knowledge about big models that everyone can understand
...It covers a wide range of topics including attention mechanisms, tokenization strategies, training techniques, model optimization, and deployment approaches. The repository aims to provide intuitive explanations and practical examples so readers can understand both the theoretical and applied aspects of large language models. In addition to technical explanations, it includes curated interview questions and discussion topics that help readers prepare for industry interviews related to machine learning and generative AI. -
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RSC Explorer
A tool for people curious about the React Server Components protocol
...The core experience is the ability to step through the RSC stream incrementally, seeing what data arrives at each moment and how that data maps to the React tree being constructed. It includes a set of curated examples that demonstrate how server and client features can interoperate, helping you develop intuition for boundaries, references, and progressive rendering. This makes it useful for educators, workshop leaders, and engineers who want to demystify RSC mechanics without relying on framework-specific abstractions. In practice, it functions like a “packet analyzer” for RSC, turning a normally opaque stream into something you can study and explain. -
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ralph-loop-agent
Continuous Autonomy for the AI SDK
...It includes loop control primitives like stop conditions and context management, allowing developers to build sophisticated agent workflows that can persist state, evaluate when to pause, and manage decision boundaries programmatically. Ralph-Loop-Agent is written in TypeScript and designed to integrate smoothly with the broader Vercel AI SDK ecosystem, including examples that tie into web interfaces, Playwright automation, PostgreSQL, and GitHub PR workflows.
