A collection of (mostly) technical things every software developer should know about

The lazier way to manage everything docker

simple terminal UI for git commands

Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...

🐶 Kubernetes CLI To Manage Your Clusters In Style!

Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD

Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go

Content aware image resize library

Fast linters runner for Go

💥 A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)

Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK stack

Homebrew tap for PHP 5.6 to 8.6. PHP 8.5 and PHP 8.6 are built nightly 🍺

Go configuration with fangs

A curated list of engineering blogs

IDE Helper for Laravel

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

A MySQL-compatible relational database with a storage agnostic query engine. Implemented in pure Go.

Staticcheck - The advanced Go linter

📝 Go: A Documentary | https://golang.design/history

An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN

Package goth provides a simple, clean, and idiomatic way to write authentication packages for Go web applications.

An evolving how-to guide for securing a Linux server.

Cloudflare scanner

An alternative privacy-friendly YouTube frontend which is efficient by design.

The Julia Programming Language

Cheatsheets for web development - devhints.io

Data validation using Python type hints

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Design-first Go framework that generates API code, documentation, and clients. Define once in an elegant DSL, deploy as HTTP and gRPC services with zero drift between code and docs.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-m…