Search Results for "google services framework"
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545 projects for "google services framework" with 1 filter applied:
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Professional Services
Common solutions and tools developed by Google Cloud
Professional Services repository is a collection of real-world solutions, tools, and reference implementations developed by Google Cloud’s Professional Services team to address common enterprise challenges. Unlike simple sample repositories, it focuses on production-oriented use cases such as data pipelines, machine learning workflows, infrastructure automation, and security management. -
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Google Cloud Node.js Client
Google Cloud Client Library for Node.js
The Google Cloud Node.js Client is an official library that provides idiomatic Node.js interfaces for Google Cloud services, simplifying the integration of these services into Node.js applications. -
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes... -
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Google Research
This repository contains code released by Google Research
Google Research is a massive monorepo that hosts a wide range of research code released by Google Research teams across machine learning, artificial intelligence, robotics, natural language processing, and other advanced domains. Rather than being a single framework, the repository serves as a centralized collection of experimental projects, reference implementations, and reproducible research artifacts. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Google Cloud Java Client Libraries
Google Cloud Client Library for Java
The Cloud Client Libraries are the recommended way to access Google Cloud APIs programmatically. The Cloud Client Libraries support accessing Google Cloud services in a way that significantly reduces the boilerplate code you have to write. The libraries provide high-level API abstractions so they're easier to understand. They embrace idioms of the language, work well with the standard library, and integrate better with your codebase. -
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Google Agent Skills
Agent Skills for Google products and technologies
Google Skills is a repository of modular “agent skills” designed to extend AI agents with structured knowledge about Google technologies and workflows. Each skill provides guidance, best practices, and procedural instructions that agents can use to perform tasks more effectively. The repository includes skills for services like BigQuery, Cloud Run, Firebase, and Kubernetes, as well as onboarding and architectural patterns. -
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Google Snake Mod Loader
All Google Snake mods combined into one
Google Snake Mod Loader is an open-source browser-based modification framework that extends the classic Google Snake game by enabling custom mods, gameplay enhancements, and visual changes directly within the web version of the game. It works by injecting JavaScript into the Google Snake page, allowing users to dynamically alter game behavior without needing to download or modify the original source code. -
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Google Cloud Platform Go Samples
Sample apps and code written for Google Cloud
Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based cloud integrations. ... -
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Google Antigravity SDK
Python library for building agents that leverages Google Antigravity
...The package relies on a compiled runtime binary distributed through platform-specific PyPI wheels, so installation from PyPI is required for normal use. Its main value is giving developers a structured Python framework for creating local, tool-using, multimodal, policy-controlled AI agents. -
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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. -
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Google Cloud Platform Node.js Samples
Node.js samples for Google Cloud Platform products
Google Cloud Platform Node.js Samples repository is a large set of Node.js code examples that demonstrate how to build, deploy, and manage applications using Google Cloud Platform services. It mirrors the structure and purpose of the Python and Go sample repositories, providing developers with practical implementations that complement official documentation. -
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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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CUDOS Framework
Command Line Interface tool for Cloud Intelligence Dashboards
The AWS Cloud Intelligence Dashboards Framework is a set of open-source tools and templates designed to help organizations deploy and manage advanced data visualization dashboards that offer insights into cost, usage, governance, and operational health across AWS environments. It is part of the AWS Solutions Library and includes CloudFormation templates, CLI commands, and pre-built dashboards that collect, process, and visualize data from AWS billing, cost management, budgets, and usage reports in services such as Amazon QuickSight or other BI tools. ... -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
...Developers can integrate external tools and services so that agents can execute actions beyond text generation. -
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XUnity Auto Translator
Advanced translator plugin that can be used to translate Unity games
XUnity.AutoTranslator is an advanced plugin framework designed to automatically translate text in Unity-based games in real time by intercepting and replacing in-game text during rendering. It works by injecting itself into the game process and leveraging external translation services such as Google Translate, DeepL, or custom APIs to dynamically convert text into a target language. -
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Google Authenticator PAM Library
Example PAM module demonstrating two-factor authentication
google-authenticator-libpam is a Pluggable Authentication Module (PAM) that adds one-time passcodes to Unix and Linux logins using open OATH standards. It plugs into PAM stacks for services like SSH, su, or desktop display managers, prompting users for a time-based (TOTP) or counter-based (HOTP) code after their password. A lightweight enrollment program bootstraps each account by generating a secret, printing a QR code, and writing per-user configuration with safe file permissions. ... -
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Functions Framework for Node.js
FaaS (Function as a service) framework for writing portable Node.js
Functions Framework for Node.js is a lightweight runtime library that allows developers to write and run portable serverless functions locally or in cloud environments using standard Node.js. It provides a consistent execution model that mimics Google Cloud Functions, enabling developers to build, test, and debug functions on their local machine before deploying them to production. -
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Practical CleanArchitecture
Full-stack .Net 8 Clean Architecture
Full-stack .Net 8 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 17, React 18, Vue 3, BFF with YARP, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, Entity Framework Core, Selenium, SignalR, Hosted Services, Health Checks, Rate Limiting, Cloud Services (Azure, AWS, Google). -
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geowifi
OSINT tool for locating WiFi networks using BSSID or SSID data
...It queries several public WiFi geolocation databases and aggregates the results to help identify the approximate location of a wireless access point. By combining multiple data sources such as Wigle, Apple, Google, WifiDB, Mylnikov, and Combain, the tool can provide location data that may include coordinates and additional network metadata. Users can run searches through a command-line interface by specifying either the BSSID (MAC address) or the SSID of a network. The results can be displayed in different formats, including a structured JSON output or an interactive HTML map showing the discovered locations. geowifi also supports API-based integrations with certain services, which allows geowifi to retrieve more accurate or detailed geolocation data when valid API credentials are configured. -
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Agent Starter Pack
Ship AI Agents to Google Cloud in minutes, not months
...Developers can create fully functional agent projects with a single command, generating both backend and frontend structures along with deployment-ready configurations. The framework supports multiple agent architectures, including ReAct, retrieval-augmented generation, and multi-agent systems, allowing flexibility across use cases. It integrates tightly with Google Cloud services like Vertex AI, Cloud Run, and Terraform-based infrastructure provisioning, enabling scalable and reliable deployments. -
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Google Kubernetes Engine (GKE) Samples
Sample applications for Google Kubernetes Engine (GKE)
Google Kubernetes Engine (GKE) Samples repository is a comprehensive collection of sample applications and reference implementations designed to demonstrate how to build, deploy, and manage workloads on Google Kubernetes Engine (GKE). It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such... -
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ntex
framework for composable networking services
Framework for composable network services. Starting ntex v0.5 async runtime must be selected as a feature. Available options are glommio, tokio or async-std. -
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PaperBanana
Extension of Google Research’s PaperBanana
...Instead of manually designing charts or diagrams using traditional visualization tools, users can describe the desired figure in natural language and allow the system to generate the visual representation automatically. PaperBanana integrates modern multimodal AI models capable of interpreting instructions and producing graphics that follow academic conventions. The framework supports multiple AI providers including OpenAI, Azure OpenAI services, and Google Gemini, allowing users to run the system with different model backends. -
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guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
The guide-rpc-framework is a Java implementation of a Remote Procedure Call (RPC) framework built on Netty, Kyro (for serialization), and Zookeeper (for service discovery and coordination). It’s aimed primarily at learners and practitioners of distributed systems who want to see how you might build an RPC system from first principles rather than just use an existing library. The project provides code for client-side stubs, server-side skeletons, method dispatching, serialization, load...
