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  • 1
    Go Katas

    Go Katas

    A collection of daily coding challenges

    Go Katas is a curated collection of practice exercises and coding challenges specifically crafted to improve proficiency in Go, including idiomatic patterns, language fundamentals, and algorithm design. It mirrors the kata practice tradition from martial arts—repetitive, thoughtful practice where each exercise reinforces technique, discipline, and problem-solving approach. Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error handling, or performance optimization, giving learners structured practice opportunities that go beyond syntax. Implementations can be tested locally, graded automatically with included test suites, and iterated on so that learners get rapid feedback and measurable progress. Because Go is widely used for backend services, cloud tooling, and systems programming, this repository helps participants build confidence in writing reliable, idiomatic, and maintainable code in real environments.
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  • 2
    Go QueryString

    Go QueryString

    go-querystring is Go library for encoding structs into URL query

    go-querystring is a lightweight Go library developed by Google for encoding Go structs into URL query strings. It simplifies the process of constructing URLs with typed parameters, offering a clean, type-safe approach to building query strings programmatically. The library’s query package exposes a single Values() function that converts struct fields (tagged with url tags) into properly encoded query parameters. It is particularly useful for APIs or HTTP clients that represent query parameters as structs—such as in the go-github client library. Each struct field can be annotated with a url:"name" tag to specify the query key. The encoder supports standard Go data types (strings, numbers, booleans, slices, etc.) and handles formatting and escaping automatically.
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  • 3
    Go canvas

    Go canvas

    Canvas is a Go drawing library based on OpenGL

    Canvas is a high-performance 2D rendering library for C++ that mimics the HTML5 Canvas API. It is built using OpenGL for hardware acceleration and offers a simple, familiar interface for developers looking to draw shapes, images, and text in desktop applications or games. Canvas focuses on ease of use, speed, and flexibility, making it suitable for GUI overlays, visualizations, and real-time 2D rendering tasks. Its API is intentionally similar to JavaScript’s Canvas API, lowering the barrier for web developers transitioning into C++ graphics work.
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  • 4
    Go gRPC Middleware

    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. In some cases, dedicated projects offer great interceptors, so this repository skips those, and we link them in the interceptors list.
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  • 5
    Go kit

    Go kit

    A standard library for microservices

    Go is a lovely little language that's perfectly suited to writing microservices. Go kit fills in the gaps left by the otherwise excellent standard library, giving your team the confidence to adopt Go throughout your stack. Adopting microservices means building a distributed system, and that comes with a lot of challenges. Go kit provides guidance and solutions for most of the common operational and infrastructural concerns. Allowing you to focus your mental energy on your business. You know your domain and context better than anyone. Go kit is lightly opinionated, and was designed for interoperability from day one. Use the databases, components, platform, and architecture that works best for you. Go is designed from first principles to advance the practice of software engineering. It's easy to learn, easy to master, and — most importantly — easy to maintain, by large and dynamic teams of engineers.
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  • 6
    GoDotEnv

    GoDotEnv

    A Go port of Ruby's dotenv library

    A Go (golang) port of the Ruby dotenv project (which loads env vars from a .env file). Storing configuration in the environment is one of the tenets of a twelve-factor app. Anything that is likely to change between deployment environments–such as resource handles for databases or credentials for external services–should be extracted from the code into environment variables. But it is not always practical to set environment variables on development machines or continuous integration servers where multiple projects are run. Dotenv load variables from a .env file into ENV when the environment is bootstrapped. It can be used as a library (for loading in env for your own daemons etc) or as a bin command. There is test coverage and CI for both linuxish and windows environments, but I make no guarantees about the bin version working on windows. Existing envs take precedence of envs that are loaded later.
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  • 7
    GoPHP is a set of libraries for Codeigniter that simplifies development of administrative interfaces. It is tightly integrated with Codeigniter and ExtJS. You can make quality applications in a very short time.
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  • 8
    Wordpress plugin for Gowalla API
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  • 9
    Gocache

    Gocache

    Go cache library that brings you multiple ways to manage caches

    Guess what is Gocache? a Go cache library. This is an extendable cache library that brings you a lot of features for caching data. Multiple cache stores: actually in memory, redis, or your own custom store. A chain cache: use multiple cache with a priority order (memory then fallback to a redis shared cache for instance) A loadable cache: allow you to call a callback function to put your data back in cache. A metric cache to let you store metrics about your caches usage (hits, miss, set success, set error, ...) A marshaler to automatically marshal/unmarshal your cache values as a struct. Define default values in stores and override them when setting data. Cache invalidation by expiration time and/or using tags. Use of Generics. To begin working with the latest version of gocache, you can import the library in your project.
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  • 10

    GoodbyDao

    A Fully functional and Simple API Generic DAO

    A Fully functional and Simple API Generic DAO. source @: https://github.com/mortezaadi/GoodbyDao
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  • 11
    Google APIs Node.js Client

    Google APIs Node.js Client

    Google's supported Node.js client library

    Google's supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included. The full list of supported APIs can be found on the Google APIs Explorer. The API endpoints are automatically generated, so if the API is not in the list, it is currently not supported by this API client library. These client libraries are supported by Google. However, these libraries are considered complete and are in maintenance mode. This means that we will address critical bugs and security issues but will not add any new features. For Google Cloud Platform APIs, we recommend using google-cloud-node which is under active development. This library supports the maintenance LTS, active LTS, and current release of node.js.
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  • 12
    Java library implementing simple management of application deployed in Google App Engine. Right now is supported only downloading and parsing of quota details. Which in fact the primary reason of existence of this library.
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  • 13
    Google Cloud Platform Go Samples

    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. Each sample is designed to be easily reusable, allowing developers to copy code directly into their own projects as a starting point for development. The repository includes both simple quickstart examples and more advanced application patterns, often accompanied by documentation guides that explain how to deploy and run them in different environments. It also showcases integrations with services such as Pub/Sub, BigQuery, Cloud Functions, and Vertex AI, helping developers understand how to orchestrate distributed systems in Go.
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  • 14
    Google Cloud Platform Java Samples

    Google Cloud Platform Java Samples

    Java and Kotlin Code samples used on cloud.google.com

    Java and Kotlin Code samples used on cloud.google. This repository holds sample code written in Java that demonstrates the Google Cloud Platform. Every file containing source code must include copyright and license information. This includes any JS/CSS files that you might be serving out to browsers.
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  • 15
    Google Cloud Platform Node.js Samples

    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. The repository includes examples for a wide variety of services, such as Cloud Run, App Engine, storage systems, and APIs, along with full tutorial applications like the Bookshelf app that showcase end-to-end workflows. Each sample includes setup instructions, dependency installation steps, and execution commands, making it easy for developers to run and modify the code locally. The project also supports modern JavaScript and TypeScript workflows, reflecting current development practices in the Node.js ecosystem.
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  • 16
    Google Cloud Platform Python Samples

    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. The repository is organized into product-specific directories, allowing developers to quickly locate examples relevant to their use case and adapt them into production workflows. It emphasizes hands-on learning by guiding users through setup steps such as creating virtual environments, installing dependencies, and running scripts locally. These samples are designed to accelerate development by showing best practices for connecting services, handling data, and managing cloud resources programmatically.
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  • 17
    Google Cloud Vision API examples

    Google Cloud Vision API examples

    Sample code for Google Cloud Vision

    The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases, such as landmark detection and mobile photo analysis with label and face detection, so developers can see how Vision API outputs are consumed in real interfaces and workflows. Although the repository has been marked as deprecated in favor of language-specific repositories for new work, it still serves as a broad reference hub for legacy examples and multi-language implementation patterns.
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  • 18
    Google IPs

    Google IPs

    Public IP address ranges associated with Google infrastructure

    Google-IPs aggregates public IP address ranges that are associated with Google’s infrastructure, collecting them in machine-readable formats useful for routing and firewall rules. The list is helpful for administrators who need to whitelist Google endpoints, analyze traffic, or tune proxies and CDN configurations. By centralizing ranges that are otherwise spread across announcements and registries, it saves time and reduces misconfiguration risk. The repository typically includes CIDR blocks and scripts or instructions for consuming them on various platforms. It’s useful in both enterprise networks and homelab setups where precise rules are preferred over broad allowances. Because IP allocations evolve, the project aims to make refreshing and automating the data straightforward.
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  • 19
    Google Kubernetes Engine (GKE) Samples

    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 as AI and machine learning, autoscaling, networking, observability, security, and cost optimization, allowing developers to explore specific use cases and architectural patterns. It includes both simple quickstart examples, like basic “hello world” applications, and more advanced scenarios such as migrating monolithic applications to microservices, implementing service meshes, and configuring custom autoscaling metrics.
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  • 20
    Google Map React

    Google Map React

    Google map library for react that allows rendering components

    Google map library for react that allows rendering components as markers. google-map-react is a component written over a small set of the Google Maps API. It allows you to render any React component on the Google Map. It is fully isomorphic and can render on a server. Additionally, it can render map components in the browser even if the Google Maps API is not loaded. It uses an internal, tweakable hover algorithm - every object on the map can be hovered. It allows you to create interfaces like this example (You can scroll the table, zoom/move the map, hover/click on markers, and click on table rows) In the simple case you just need to add lat and lng props to any child of GoogleMapReact component.
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  • 21
    Google Page Rank

    Google Page Rank

    A tool and library to gather the Google Page Rank of web pages.

    This project is a simple Qt library extension that is used to retrieve the Google page rank of any public web page. You can use the library capability asynchronously which means you can send a request and a little later you get a message with the answer which you continue to do other work. The project also includes a command line tool that is used to synchronously get the page rank of a URL. This tool can be used in shell scripts.
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  • 22
    GopenPGP V3

    GopenPGP V3

    A high-level OpenPGP library

    GopenPGP V3 is a high-level OpenPGP cryptographic library developed by ProtonMail that provides a user-friendly API for common encryption and signing operations in Go, abstracting the complexity of the underlying OpenPGP standards and golang crypto primitives. This library lets developers perform key generation, message encryption and decryption, digital signing, and signature verification with straightforward functions that hide much of the boilerplate and nuance typically required when working directly with OpenPGP implementations. Built on top of a forked version of the Go crypto library, gopenpgp supports current OpenPGP RFC standards and includes examples for working with password-based encryption and PGP keys, as well as detached and inline signatures. Because it’s designed for broad use, the library also targets go-mobile compatibility, meaning it can support mobile app use cases alongside server and desktop tooling.
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  • 23
    Gossamer

    Gossamer

    Go Implementation of the Polkadot Host

    Gossamer is a modular blockchain framework implemented in Go, serving as an execution environment for the Polkadot runtime. It allows developers to build and run nodes for various blockchain protocols within the Polkadot ecosystem. Gossamer's design emphasizes modularity and flexibility, enabling customization and integration of different services such as networking, block production, and JSON-RPC servers.​
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  • 24
    GraalPy

    GraalPy

    A Python 3 implementation built on GraalVM

    GraalPy is a high-performance implementation of the Python language for the JVM built on GraalVM. GraalPy is a Python 3.11 compliant runtime. It has first-class support for embedding in Java and can turn Python applications into fast, standalone binaries. GraalPy is ready for production running pure Python code and has experimental support for many popular native extension modules.
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  • 25
    Gradle Bintray Plugin

    Gradle Bintray Plugin

    The Gradle Bintray Plugin allows you to publish artifacts to Bintray

    The Gradle Bintray Plugin allows you to publish artifacts to Bintray. The plugin supports three methods to create groups of artifacts: Configurations, Publications and Copying specific files using filesSpec. One of the methods should be used to group artifacts to be uploaded to Bintray. Using the Configurations approach is the easiest, since this option attempts to infer what artifacts to upload based on the Gradle project and dependencies that are defined. Publications gives more fine-grained control, especially when needing to publish metadata for publishing to Maven Central. Copying specific files can be used as a last option, which provides the ability to define custom rules using the Gradle's CopySpec task. In general, the first two options should be sufficient for your needs.
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