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appointments_app

appointments_app

arangodb

🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-kubernetes

A curated list for awesome kubernetes sources :ship::tada:

awesome-readme

A curated list of awesome READMEs

brevifolia-hugo-forestry

chaos-client

Go client to communicate with Chaos DNS API.

cluster-api-provider-docker

A Cluster API Provider implementation using docker containers as the infra provider. Cluster API locally for a change!

collaborator

BurpSuite Standard/Private Collaborator Library

contributor-playground

cosmos-sdk

:chains: Blockchain Application Framework :sparkles:

crossplane

Manage any infrastructure your applications need directly from Kubernetes

digger

Digger is an open source GitOps tool for Terraform. Digger allows you to run Terraform plan / apply in your CI. ⚡️

efk-k8s

manifest files for efk cluster for kubernetes

falcoctl

Administrative tooling for Falco.

gaia

Cosmos Hub

ghost-cms

go-bitsong

:rocket: Official BitSong Blockchain Implementation in Go

go-driver

The official ArangoDB go driver.

go-ghost

Go library for the Ghost API

go-rest-api

go-vim-install

Easy environment setup for Vim addicts and go developers

gochimp3

🐒 Golang client for MailChimp API 3.0.

golang-examples

Go(lang) examples - (explain the basics of #golang)

gqlgen

go generate based graphql server library

gunk

Modern frontend and syntax for Protocol Buffers

harbor

An open source trusted cloud native registry project that stores, signs, and scans content.

httpx

httpx is a fast and multi-purpose HTTP toolkit allows to run multiple probers using retryablehttp library, it is designed to maintain the result reliability with increased threads.

ja3

A high performance Go Implementation of the JA3 Client Fingerprinting Algorithm.

jekyll-minimal-mistakes-forestry