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  • 1
    Git Tips

    Git Tips

    Compact knowledge base of Git command tips and workflows

    git-tips is a compact knowledge base of Git command tips and workflows designed to be quickly searchable and easy to memorize. It favors short, actionable examples that solve common problems like amending commits, cleaning branches, rewriting history, bisecting, stashing, or recovering lost work. Each tip shows the exact command and a brief explanation, reducing time spent digging through manual pages. The collection is useful for daily development, code reviews, and release management where precise Git operations matter. Because entries are concise and independent, you can dip in at any point and learn something useful in a minute or two. It serves both as a cheat sheet for experienced developers and a learning aid for those new to version control.
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  • 2
    Git menu

    Git menu

    Git recipes in Chinese by Zhongyi Tong

    Git menu is a practical reference repository that provides concise and actionable examples of common Git workflows, commands, and best practices. It is designed as a learning and productivity tool for developers who want to improve their version control skills without navigating complex documentation. The project organizes commands into real-world scenarios, making it easier to understand how Git is used in daily development tasks. It likely includes examples for branching, merging, rebasing, and resolving conflicts. The focus is on clarity and usability, allowing users to quickly find solutions to specific problems. It is particularly useful for both beginners and experienced developers who need quick reminders. Overall, git-recipes serves as a hands-on guide for mastering Git workflows.
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  • 3
    GitHub Docs

    GitHub Docs

    The open-source repo for docs.github.com

    The public, open-source repository powering GitHub’s own documentation site, hosting documentation content, guides, governance, and contribution workflows. GitHub's Docs team works on pre-production content in a private repo that regularly syncs with this public repo. Use the table of contents icon Table of contents icon on the top right corner of this document to navigate to a specific section quickly. The GitHub product documentation in the assets, content, and data folders is licensed under a CC-BY license. All other code in this repository is licensed under the MIT license.
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  • 4
    GitHub Workflows Kt

    GitHub Workflows Kt

    Authoring GitHub Actions workflows in Kotlin

    GitHub-workflows-kt is a tool for creating GitHub Actions workflows in a type-safe script, helping you to build robust workflows for your GitHub projects without mistakes, with pleasure, in Kotlin. We're often surrounded by YAML configuration. It's a powerful format that provides a simple syntax for defining hierarchical data, but it is sometimes used (abused?) to configure complicated scenarios which lead to complicated files that are difficult to write and maintain. Who among us hasn't accidentally used the wrong indentation, missed a possibility to extract a reusable piece of code, or been confused by ambiguous types? The power of a generic-purpose would come in handy in these cases. We're developing GitHub-workflows-kt to solve these and other problems, so you can create GitHub Workflows with confidence.
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  • 5
    GitHub520

    GitHub520

    Community-maintained approach to improving access to GitHub services

    GitHub520 is a community-maintained approach to improving access to GitHub services from regions with network friction by leveraging host mappings. The repository provides a regularly updated list of domain-to-IP entries meant to be appended to a system’s hosts file so certain GitHub endpoints resolve faster or more reliably. It includes scripts or guidance to automate updates, reducing the need for manual lookups when IPs change. The project’s goal is pragmatic: improve developer productivity by mitigating timeouts and slow asset retrieval during cloning, package installs, or browsing. It is intended for users who understand the implications of hosts modifications and want a reversible, client-side tweak. While simple in concept, it has become a widely referenced workaround for network constraints affecting developer workflows.
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  • 6
    GlassesFactory

    GlassesFactory

    Library with various code modules

    It contains various code modules. It includes custom AS3 utilities, UI, tools, and helper classes.
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  • 7
    Glimpse Plotting Library

    Glimpse Plotting Library

    WPF Plotting Library

    Glimpse is a .NET 4.6 plotting library for WPF projects. It currently contains five classes: a scatter plot, a line graph, an histogram, a raster plot to display matrix data and a tree plot to visualize recursive XML data. Main attributes can be customized through the respective constructors, additional changes are available through public properties. To use the packaged classes just reference the library in your project, instantiate a new plot and add it to a display container of your choice.
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  • 8
    GlitchLabel

    GlitchLabel

    Glitching UILabel for iOS

    GlitchLabel is an iOS UI component written in Swift that allows developers to create visually striking glitch-style text animations inspired by digital distortion effects often seen in cyberpunk or retro-futuristic design aesthetics. It works as a custom UILabel subclass that overlays multiple text layers and applies timed transformations such as offsets, color shifts, and clipping to simulate a glitch effect in real time. The component is lightweight and designed to integrate easily into UIKit-based applications without requiring complex setup or external dependencies. Developers can customize parameters such as animation duration, glitch frequency, displacement intensity, and color variations to match specific branding or visual requirements. The library focuses on delivering smooth animations while maintaining performance efficiency, making it suitable for use in splash screens, loading states, or attention-grabbing UI elements.
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  • 9
    Glob

    Glob

    glob functionality for node.js

    Glob is a widely used JavaScript library that implements file path pattern matching using glob syntax, enabling developers to efficiently locate files and directories that match wildcard expressions. It provides functionality similar to Unix shell globbing but is designed to work consistently across platforms within Node.js environments. The library supports complex patterns such as recursive directory matching, brace expansion, and character ranges, making it suitable for build tools, CLIs, and automation scripts. node-glob is optimized for performance and reliability when traversing large file trees, and it exposes both asynchronous and synchronous APIs. Because of its maturity and flexibility, it is a foundational dependency in many JavaScript tooling ecosystems. Overall, node-glob serves as a core filesystem discovery utility for Node.js applications that rely on pattern-based file matching.
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    MongoDB Atlas runs apps anywhere

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  • 10
    An umbrella project for static data repositories, such as ISO country codes, currency codes, and more to come. For each subject, there will be three stages: data gathering, java repository implementation, generation of files for other technologies.
    Downloads: 0 This Week
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  • 11
    Globby

    Globby

    User-friendly glob matching

    Globby is a user-friendly glob matching library for Node.js, built on top of fast-glob, offering enhanced features for file pattern matching.
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  • 12
    GluCat: Clifford algebra templates

    GluCat: Clifford algebra templates

    Calculation with Clifford algebras: C++ library and Python module

    GluCat is a generic library of C++ templates that implement universal Clifford algebras over the field of real numbers. The PyClical extension module for Python gives users an easy Python scripting interface for calculations in Clifford algebras. The name PyClical is an homage to Pertti Lounesto's CLICAL.
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  • 13
    Glue Stick dependency injection framework is used for assembling and configuring Java applications from external bean definition and configuration files. There are several supported bean definition file formats, such as Groovy, JSON and Spring XML.
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  • 14
    Glumpy

    Glumpy

    Python+Numpy+OpenGL, scalable and beautiful scientific visualization

    Glumpy is a Python library that simplifies the development of high-performance, interactive OpenGL visualizations. It abstracts complex OpenGL tasks into Pythonic constructs, making it easier for scientists, artists, and developers to harness the power of the GPU for real-time rendering and data visualization. Glumpy is particularly well-suited for rapid prototyping of graphical applications, and its integration with NumPy and shader programming makes it a powerful tool for both research and creative exploration.
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  • 15

    Gnats.py

    GNATS database communication interface classes for Python

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  • 16
    Go + hardware

    Go + hardware

    A directory of hardware related libs, tools, and tutorials for Go

    Go + hardware is a curated directory of libraries, tools, and tutorials that help developers use the Go programming language in hardware and embedded systems projects. Rather than being a single runtime library, the repository serves as a knowledge hub that aggregates resources for interacting with sensors, boards, and low-level devices using Go. It highlights Go’s cross-compilation capabilities and concurrency primitives, which are advantageous when building networked devices or controllers. The project is especially valuable for engineers exploring Go in IoT, robotics, or single-board computer environments. By organizing ecosystem resources in one place, it lowers the barrier to entry for hardware experimentation with Go. Overall, go-hardware functions as both a roadmap and reference point for developers bridging software and physical computing.
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  • 17
    Go Examples

    Go Examples

    Go(lang) examples

    Now with an online live editor with Golang support. Try out and edit the examples directly in the browser. These examples explain the basics of Golang. There will be more examples from time to time. The examples are divided into three levels of difficulty. The Beginner section contains very easy examples, starting with Hello World but also containing a few easy algorithms. The Advanced section uses more complicated features of Golang. Finally, the Expert section contains applications like telnet-clients or http-server (even with SSL). If you want even more Golang examples, you can take a look at my other go repositories at GitHub. To execute a Golang program, write go run at the cli followed by the name of the file. You also can convert the file to a binary executable program by the command go build. One great aspect of Golang is, that you can start go applications via go run name.go, but also compile it to an executable with go build name.go.
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  • 18
    Go Jsonnet

    Go Jsonnet

    This an implementation of Jsonnet in pure Go

    go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to integrate templating into build systems, CLIs, and services. Import paths and custom resolvers let you structure large configuration trees across directories or remote sources, while top-level arguments and external variables parameterize builds per environment. Native functions can be registered from Go to expose domain-specific helpers without forking the language. Tooling such as a formatter and linter-friendly errors encourages clean, consistent templates that scale across teams.
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  • 19
    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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  • 20
    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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  • 21
    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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  • 22
    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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  • 23
    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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  • 24
    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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  • 25
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this.
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