Search Results for "building" - Page 11
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Showing 4031 open source projects for "building"
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Confluent's .NET Client for Apache Kafka
Confluent's Apache Kafka .NET client
...We get them right in one place (librdkafka) and leverage this work across all of our clients (also confluent-kafka-python and confluent-kafka-go). Confluent, founded by the creators of Kafka, is building a streaming platform with Apache Kafka at its core. It's high priority for us that client features keep pace with core Apache Kafka and components of the Confluent Platform. confluent-kafka-dotnet is derived from Andreas Heider's rdkafka-dotnet. We're fans of his work and were very happy to have been able to leverage rdkafka-dotnet as the basis of this client. -
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Proxygen
A collection of C++ HTTP libraries including an easy to use HTTP serve
...The central abstractions to understand in proxygen/lib are the session, codec, transaction, and handler. These are the lowest level abstractions, and we don't generally recommend building off of these directly. When bytes are read off the wire, the HTTPCodec stored inside HTTPSession parses these into higher-level objects and associates with it a transaction identifier. -
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PySpur
Visual tool for building, testing, and deploying AI agent workflows
PySpur is a visual development environment designed to help AI engineers build, test, and iterate on agent-based workflows more efficiently. It provides a structured playground where users can define test cases, construct agents either through Python code or a graphical interface, and continuously refine their behavior. It addresses common challenges in AI agent development such as prompt tuning difficulties and lack of visibility into workflow execution. By offering a visual representation... -
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Vendure Core
Open source headless commerce framework built with TypeScript
Vendure is an open-source headless commerce framework designed for building customizable and scalable e-commerce applications. Built with Node.js and TypeScript, the platform provides a modular architecture that allows developers to create complex commerce systems tailored to specific business requirements. Vendure separates the backend commerce engine from the front-end storefront, allowing developers to build custom user interfaces using modern frameworks such as React, Angular, or Vue. ... -
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PSWriteHTML
PSWriteHTML is PowerShell Module to generate beautiful HTML reports
PSWriteHTML is PowerShell Module to generate beautiful HTML reports, pages, emails without any knowledge of HTML, CSS or JavaScript. To get started basics PowerShell knowledge is required. PSWriteHTML is a fork of ReportHTML module. I've forked ReportHTML due to it being outdated and not maintained. I also wanted to address some problems it had and add more features. As it stands PSWriteHTML is a complete rewrite. Make sure to read blog posts provided to understand the concepts and how you... -
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Eclipse GLSP
Graphical language server platform for building web-based diagram
The Graphical Language Server Platform (GLSP) is an extensible open-source framework for building custom diagram editors based on web technologies. Alongside an extensible client framework and a server framework, GLSP provides a language server protocol (LSP) for diagrams. With that, GLSP enables the development of modern, web-based diagram editors, whereas the heavy lifting, such as loading, interpreting, and editing according to the rules of the modeling language, is encapsulated in the server. ... -
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Unicorn
The magical reactive component framework for Django
...Unicorn is a reactive component framework that progressively enhances a normal Django view, makes AJAX calls in the background, and dynamically updates the DOM. It seamlessly extends Django past its server-side framework roots without giving up all of its niceties or re-building your website. -
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gqlgen
Go generate based graphql server library
gqlgen is a Go library for building GraphQL servers without any fuss. You get to Define your API using the GraphQL Schema Definition Language. You should never see map[string]interface{} here. We generate the boring bits, so you can focus on building your app quickly. Still not convinced enough to use gqlgen? Compare gqlgen with other Go graphql implementations. You need to tell gqlgen that it should only fetch friends if the user requested it. gqlgen will be able to automatically bind to strings or ints for models you have written yourself. gqlgen is a schema-first library, before writing code, you describe your API using the GraphQL Schema Definition Language. ... -
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YouTube Music Downloader
A simple app to get songs from YouTube in mp3 format with artist name
...It supports downloading single songs, playlists, or batches of tracks using flexible command-line options. ytmdl also allows customization of output formats, directory structures, and metadata handling through configuration files. With features like audio trimming and dynamic file organization, it serves as a practical tool for building structured offline music collections. Its lightweight design and scriptability make it ideal for automation and personal media management workflows. -
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Google Antigravity SDK
Python library for building agents that leverages Google Antigravity
Google Antigravity SDK for Python is a Python library for building AI agents powered by Antigravity and Gemini. It provides a secure, scalable, and stateful infrastructure layer so developers can focus on agent behavior instead of manually implementing the full agent loop. The SDK includes a high-level Agent class for quick setup, as well as lower-level conversation and connection abstractions for more controlled workflows. -
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gain
Asyncio-based Python framework for building fast web crawling spiders
Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. 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. -
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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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OmAgent
Build multimodal language agents for fast prototype and production
OmAgent is an open-source Python framework designed to simplify the development of multimodal language agents that can reason, plan, and interact with different types of data sources. The framework provides abstractions and infrastructure for building AI agents that operate on text, images, video, and audio while maintaining a relatively simple interface for developers. Instead of forcing developers to implement complex orchestration logic manually, the system manages task scheduling, worker coordination, and node optimization behind the scenes. Its architecture uses a graph-based workflow engine where tasks are represented as nodes in a directed workflow, enabling modular composition of complex reasoning pipelines. ... -
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Surge-rules
The Surge rule set (DOMAIN-SET and RULE-SET) for the Surge for iOS
Surge-rules is a project devoted to maintaining and distributing rule sets compatible with the Surge proxy application (for macOS/iOS), intended for domain- or routing-based traffic management. Instead of manually building or maintaining Surge configuration files, users can rely on this repo to obtain up-to-date “RULE-SET” or “DOMAIN-SET” configurations that reflect community-curated lists of domains/IPs for direct access, proxying, blocking, or custom routing. Because network and domain landscapes shift over time — with new domains added, blocked, or repurposed — surge-rules offers a streamlined, shared resource so users don’t have to rebuild their rule sets from scratch. ... -
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FastMCP Framework
A TypeScript framework for building MCP servers
FastMCP is a TypeScript framework aimed at building servers compliant with the Model Context Protocol (MCP), enabling LLMs (large language models) or other clients to access tools, resources, and context through a defined protocol. It allows developers to define “tools” (basically operations or services) and “resources” that can be fetched or interacted with, and supports multiple transport mechanisms (HTTP streaming, SSE, etc) for client-server communication. -
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Generative AI for Beginners (Version 3)
21 Lessons, Get Started Building with Generative AI
Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. ... -
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Go gRPC Middleware
Golang gRPC Middlewares: interceptor chaining, auth, logging, retries
gRPC Go has support for "interceptors", i.e. middleware that is executed either on the gRPC Server before the request is passed onto the user's application logic, or on the gRPC client either around the user call. It is a perfect way to implement common patterns: auth, logging, tracing, metrics, validation, retries, rate limiting, and more, which can be great generic building blocks that make it easy to build multiple microservices. Especially for observability signals (logging, tracing, metrics) interceptors offer semi-auto-instrumentation that improves the consistency of your observability and allows great correlation techniques (e.g. exemplars and trace ID in logs). Demo-ed in examples. This repository offers ready-to-use middleware that implements gRPC interceptors with examples. ... -
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
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Beast
HTTP and WebSocket built on Boost.Asio in C++11
Beast is a header-only C++ library that provides low-level HTTP, WebSocket, and networking protocol building blocks on top of Boost.Asio. It is designed for developers who need to build interoperable clients, servers, proxies, gateways, or custom protocol components rather than using a high-level web framework. Beast follows Boost.Asio’s asynchronous model, so it fits naturally into event-driven C++ networking applications. Its algorithms are role-agnostic, meaning the same core abstractions can be used to build client-side and server-side systems. ... -
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Browserbase Skills
Claude Agent SDK with a web browsing tool
...It is particularly useful for building AI agents that perform tasks like scraping, testing, or workflow automation. Overall, it turns browser interaction into a modular and programmable skill system. -
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Learn Harness Engineering
Harness engineering official style beginner tutorial
Learn Harness Engineering is an educational repository focused on teaching the principles behind building robust AI agent systems through harness design. It introduces the concept of harness engineering, which involves structuring how agents manage memory, context, and execution rather than relying solely on prompts. The project provides examples, explanations, and patterns for designing reliable, controllable, and scalable agent workflows. -
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lemonade-stand
A handy guide to financial support for open source
...Rather than being a traditional software tool, it functions as a structured knowledge base that walks users through the process of ideation, product development, marketing, monetization, and scaling. The repository is organized into sections that cover key aspects of building a startup, including pricing strategies, user acquisition, growth tactics, and operational considerations. It is particularly valuable for indie developers and founders who want a practical roadmap for launching products without relying on formal business education. The content emphasizes actionable insights and case studies, helping users understand not just what to build but how to position and sell it effectively. -
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MLOps Zoomcamp
Free MLOps course from DataTalks.Club
...Students learn to use widely adopted tools such as MLflow, orchestration frameworks, and cloud platforms to manage machine learning pipelines. The curriculum emphasizes hands-on projects so learners gain practical experience building automated ML pipelines and maintaining deployed models. -
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React Native AI
Full stack framework for building cross-platform mobile AI apps
React Native AI is a full-stack framework designed to simplify the development of AI-powered mobile applications using React Native. The project provides a ready-to-use infrastructure for building cross-platform apps that integrate large language models and other AI services. It supports real-time streaming responses from multiple AI providers and enables developers to build chat interfaces, AI-driven image generation tools, and natural language features within mobile apps. The framework includes backend components such as an Express-based server proxy that handles authentication and API communication with model providers. ... -
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kMCP
Kubernetes Controller for building, testing and deploying MCP servers
KMCP is a companion toolchain for building, testing, and deploying MCP servers with a workflow that spans local development through Kubernetes production deployments. It includes a CLI for day-to-day development tasks like scaffolding new MCP projects, managing tools, building container images, and running an MCP server locally for validation. For cluster operations, it includes a Kubernetes controller that manages MCP server lifecycles using a dedicated Custom Resource Definition (CRD), allowing MCP servers to be represented as native Kubernetes objects you can operate with familiar kubectl-driven patterns. ...