material-design-icons
GitHub describes it as Material Design icons by Google (Material Symbols). The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
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Verified repositories, classifications and analysis from the google organization.
GitHub describes it as Material Design icons by Google (Material Symbols). The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
GitHub describes it as Google core libraries for Java. The repository metadata lists Java as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
GitHub describes it as A tool for writing better scripts. The repository metadata lists JavaScript as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
Style guides for Google-originated open-source projects
GoogleTest - Google Testing and Mocking Framework. Continuous Integration We use Google's internal systems for continuous integration.
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
GitHub describes it as Material Design Components in HTML/CSS/JS. The repository metadata lists HTML as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Google Skills provides agent instructions for working with Google Cloud and other Google products through supported tools and APIs.
Project brief: Application Kernel for Containers. The runsc runtime integrates with Docker and Kubernetes, making it simple to run sandboxed containers.
Fast and accurate AI powered file content types detection
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A collection of sample agents built with Agent Development Kit (ADK)
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates seamlessly with AI coding assistants such as Antigravity, Codex, and Claude Code. It also achieves 99%+ success rate on AndroidWorld Benchmark. Created by Google's Pixel-Test-Engineering (PTE) Fusion team.
GitHub describes it as Distributed code review system for Git repos. The repository metadata lists Go as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
GitHub describes it as A static type analyzer for Python code. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.