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🥑 Language focused docker images, minus the operating system.
Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
Open-source high-performance RISC-V processor
Learn how to design systems at scale and prepare for system design interviews
Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams.
🧊 The next generation Package Manager for Kubernetes 📦 Featuring a GUI and a CLI. Glasskube packages are dependency aware, GitOps ready and can get automatic updates via a central public package re…
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
Shipwright - a framework for building container images on Kubernetes
☕ Docker images for test PHP applications with Gitlab CI (or any other CI platform!)
Simple SMTP server / postfix null relay host for your Docker and Kubernetes containers. Based on Alpine Linux.
🔭 Tracetest - Build integration and end-to-end tests in minutes, instead of days, using OpenTelemetry and trace-based testing.
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Enhancements tracking repo for Kubernetes
Kubernetes Cloud Provider for vSphere https://cloud-provider-vsphere.sigs.k8s.io
Awesome-LLM: a curated list of Large Language Model
You want to contribute to an open-source project? You don't know how to do it? Here is how to.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
pprof is a tool for visualization and analysis of profiling data
Monorepo for libraries used by the MagaLu Cloud CLI
A beautiful home server OS for self-hosting with an app store. Buy a pre-built Umbrel Home with umbrelOS, or install on a Raspberry Pi or any x86 system.