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Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
A fancy, easy-to-use and reactive self-hosted docker compose.yaml stack-oriented manager
UVdesk Open Source Community Helpdesk is a comprehensive ticketing support system designed for everyone, offering robust features to streamline customer support and collaboration.
The Cloud Native AI Platform
Customization of kubernetes YAML configurations
A set of Ansible playbooks to build and maintain your own private cloud: email, calendar, contacts, file sync, IRC bouncer, VPN, and more.
A Swift command line tool for generating your Xcode project
Application for managing recipes, planning meals, building shopping lists and much much more!
a script to run docker-compose.yml using podman
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
🎁 A glib-like multi-platform c library
User documentation for Knative components.
tbls is a CI-Friendly tool to document a database, written in Go.
Configuration Management for Python ⚙
Simple, extremely lightweight, extensible, configuration management library for Go. Supports JSON, TOML, YAML, env, command line, file, S3 etc. Alternative to viper.
🏕️ Reproducible development environment for humans and agents
Easiest way to add multi-environment yaml settings to Rails, Sinatra, Padrino and other Ruby projects.
:hammer: The tools we use to build Kitsu, the coolest platform for anime and manga
Per project developer environments
Fastest end-to-end CSV ingestion for Ruby (with C acceleration). SmarterCSV auto-detects formats, applies smart defaults, and returns Rails-ready hashes for seamless use with ActiveRecord, Sidekiq, parallel jobs, and S3 pipelines — even for messy user-uploaded real-world data.
MLBox is a powerful Automated Machine Learning python library.
Extremely simple, self-hosted expense tracker with a beautiful UI.
Enterprise Kubernetes management, accelerated. 🚀
Test your code without writing mocks with ephemeral Docker containers 📦 Setup popular services with just a couple lines of code ⏱️ No bash, no yaml, only code 💻