Lists (2)
Starred repositories
The Go language implementation of gRPC. HTTP/2 based RPC
Algorithms and Data Structures implemented in Go for beginners, following best practices.
franz-go is a feature complete, pure Go library for Kafka from 0.8.0 through 4.1+. Producing, consuming, transacting, administrating, etc.
A lightweight yet powerful IoC dependency injection container for the Go programming language
Gin is a high-performance HTTP web framework written in Go. It provides a Martini-like API but with significantly better performance—up to 40 times faster—thanks to httprouter. Gin is designed for …
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
Translation plugin for IntelliJ-based IDEs/Android Studio.
Simple way to generate mock servers written in Go
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
The library for web and native user interfaces.
Command line tool to share your UNIX terminal and forward local TCP ports to people you trust.
Authenticator generates 2-Step Verification codes in your browser.
A curated list of awesome frameworks, libraries and software for the Java programming language.
🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.
Browser extension that simplifies the GitHub interface and adds useful features
The open source version of the Amazon Corretto 11 docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
📨 An open letter to GitHub from the maintainers of open source projects
Spring Data - The Definitive Guide - Modern Data Access for Enterprise Java Developers
Chat with your team while you collaborate over code using VS Live Share
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Manipulate CSV files on the command line using dplyr