Open-source alternatives to Docker Stacks

This project is an interactive, web-based notebook environment designed for distributed data science and large-scale computing. It serves as a development tool for executing code and performing data analysis specifically within the Apache Spark framework, providing a browser-based interface that combines code execution with reactive data visualization. The platform distinguishes itself through its deep integration with distributed infrastructure, allowing users to manage cluster resources, configure runtime dependencies, and isolate execution processes for individual notebooks. It supports co

This project provides a framework for defining and distributing reproducible development environments through modular, containerized configuration units. It functions as an infrastructure-as-code tool that automates the setup of standardized workspaces, ensuring that programming languages, command-line utilities, and system dependencies are consistently provisioned across different projects and team members. The system distinguishes itself by packaging these configuration units as versioned, discoverable artifacts that can be layered onto base container images. By utilizing a standardized spe

Toolbox is a development workspace orchestrator and container environment manager that bootstraps mutable toolsets and SDKs inside containers. It functions as a Linux distribution sandbox and a host-integrated container runtime, allowing users to run native package managers and software without modifying the host operating system. The project differentiates itself by bridging isolated containers with the host system through the mapping of user identities, network sockets, and home directories. It utilizes a daemonless engine to provide these environments while ensuring that system configurati

This project provides a containerized environment for hosting and managing dedicated Minecraft Bedrock multiplayer servers. It functions as a portable image that automates the deployment lifecycle, including the automatic retrieval and installation of the latest server binaries upon container startup. The system distinguishes itself through its reliance on environment variables to dynamically generate server configurations and manage game parameters. It includes built-in support for automated asset injection, allowing for the seamless deployment of behavior and resource packs, alongside integ

JupyterHub is a multi-user platform for hosting and managing isolated Jupyter notebook server instances on a single system or cluster. It serves as a notebook server orchestrator that spawns and monitors individual computing environments on demand. The system uses a plugin-based spawner interface to launch these environments across diverse infrastructure, including local processes, containers, or cloud clusters. It integrates with external identity providers and supports pluggable authentication to verify user identities and secure access. The framework includes centralized administration to

This project is an educational resource and technical manual for Apache Spark, focused on the architecture and practical application of large-scale data processing. It serves as a guide for big data engineering and distributed computing, covering the principles of parallel processing and fault-tolerant data distribution. The material provides instructional content on designing distributed ETL pipelines and implementing data analysis workflows. It includes tutorials for polyglot data processing, offering patterns and examples for using Python, Scala, and Java within a unified environment. The

OpenStreetMap Tile Server is a containerized software package that hosts self-hosted map tile services from raw geographical data files. It combines a relational database configured with spatial extensions to store and query map coordinates and geometries with rendering engines that generate raster map images dynamically for interactive mapping clients. The service provides regional map data import to parse and load spatial files into the database alongside automated incremental updates that download recent upstream changes and expire affected tiles. Generated map images are preserved in ded

This project provides a functional package manager and a reproducible build system designed to ensure identical build inputs always produce the same outputs. It serves as the foundation for a declarative Linux distribution where the entire system state is defined in a configuration file, enabling predictable deployments and full-system rollbacks. The system uses a deterministic functional language and a lazy-evaluation expression engine to manage software dependencies and isolate build environments. It distinguishes itself through a content-addressable store that allows multiple versions of s

This is a command line tool for building and managing isolated development environments based on the Development Container Specification. It functions as an OCI container image builder and a provisioner for instantiating standardized containers within automated continuous integration workflows. The tool includes a system for injecting pre-configured software and toolsets into containers using a registry of reusable installation modules. This allows for the creation of shareable features and the installation of specific languages, CLI tools, and software dependencies. It covers the automation

This project provides a complete OpenVPN server deployment packaged as a Docker container, with an integrated EasyRSA certificate authority for automated public-key infrastructure management. It handles the full lifecycle of a VPN server, from initial PKI bootstrap and server configuration generation to client certificate issuance and revocation, all within a containerized environment. The server is configured entirely through Docker environment variables, eliminating the need for manual configuration file editing. It supports time-based one-time password (TOTP) authentication as a second fac

This project is a containerized build automation system and self-hosted DevOps platform provided as a Docker image. It serves as a distributed build orchestrator and a Dockerized continuous integration and delivery server, ensuring consistent execution environments across different infrastructure. The system distinguishes itself through a distributed execution model that separates a primary controller from multiple remote agents connected via SSH, TCP, or web sockets. It utilizes a modular extensibility framework that allows the core system functionality to be augmented through the installati

SynapseML is an Apache Spark machine learning library designed for building and scaling machine learning workflows and data pipelines across distributed clusters. It serves as a distributed machine learning pipeline framework and a distributed inference engine for executing hardware-accelerated predictions and deep learning tasks on large-scale datasets. The project functions as a cloud AI integration layer, allowing users to apply pretrained artificial intelligence services for text, vision, and speech within distributed pipelines. It also includes a dedicated suite of tools for distributed

This project is a Docker container image library providing official Dockerfiles and configurations for deploying enterprise software and database products. It serves as a source of container specifications and OCI compatible image repositories for packaging commercial application software into standardized container images. The repository specifically focuses on Oracle software containerization, offering pre-configured images and build scripts to deploy Oracle database instances in containerized environments. The project implements a standardized image build workflow and utilizes multi-stage

This project is a Docker educational resource and a collection of practical examples designed for learning containerization technologies. It serves as a guide for understanding container fundamentals, including the creation and management of custom images and the use of registries. The repository provides specialized references for container security hardening, such as managing kernel privileges and implementing supply chain security. It also includes tutorials for multi-container orchestration and a DevOps guide focused on CI/CD automation and image optimization. The material covers a broad

This project is a Python education repository and programming tutorial designed to teach language fundamentals, from basic syntax and variables to advanced concepts. It serves as a data science starter kit and a guide for REST API integration. The repository provides instructional scripts and sample code covering object-oriented programming patterns and asynchronous programming. It includes practical demonstrations for fetching and processing JSON data from external web services using HTTP requests. The materials cover a broad capability surface including data analysis workflows with interac

zplug is a plugin manager for the Zsh shell designed to install and organize community plugins, themes, and commands from remote repositories and local paths. It focuses on environment reproducibility through versioned configuration, allowing plugins to be pinned to specific git branches, tags, or commit hashes. The project optimizes shell startup speed by using a lazy loading system that defers the execution of plugins until they are explicitly required. To accelerate initial environment setup, it employs a parallel installer that downloads multiple extensions concurrently. The manager supp

Ko is a daemonless container image builder and OCI image generator specifically for Go applications. It compiles Go source code into binaries and packages them directly into container images, pushing them to registries without requiring a local container runtime or daemon. The tool specializes in multi-platform image distribution, producing images for various CPU architectures and operating systems from a single execution. It distinguishes itself by automating the entire pipeline from Go import paths to Kubernetes deployment or serverless function packaging for architectures like AWS Lambda.

This project is a collection of curated and standardized Docker base images that serve as reliable starting points for building containerized applications. It functions as an OCI container image repository and a build template library, providing a central source of truth for images that adhere to Open Container Initiative standards for portability. The project utilizes an automated image lifecycle pipeline to build, tag, and push images, ensuring that dependencies remain current and security patches are applied. It specifically supports cross-platform distribution by providing a multi-archite

This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi

LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes

dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of containerization and microservice architecture. It provides instructional material and hands-on exercises covering image optimization, security training, infrastructure setup, and cluster orchestration. The project features specific courses and guides focused on reducing image size through multi-stage builds, securing workloads via vulnerability scanning and encrypted networks, and deploying multi-node clusters with high availability using Swarm orchestration. The materials cover a br

JupyterLab is a web-based development environment designed for interactive data science, collaborative research, and computational notebook authoring. It provides a unified workspace where users can execute code, manage computational kernels, and create documents that integrate live code, rich data visualizations, and narrative text. The platform is built on a modular architecture that supports extensive customization through a plugin system. This framework allows for the dynamic loading of extensions, enabling users to define custom file viewers, interface themes, and keyboard shortcuts. By

Scala is a statically typed programming language and compiler that combines object-oriented and functional programming paradigms. It serves as a cross-platform runtime language capable of targeting the Java Virtual Machine and JavaScript to share logic between backend servers and web frontends. The project provides a functional programming framework with immutable data structures and higher-order functions to build reliable concurrent and distributed applications. It distinguishes itself through deep interoperability with Java and JavaScript ecosystems and the ability to transform code into n

This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers

dnmp is a containerized web development environment that provisions a full LNMP stack consisting of Nginx, MySQL, PHP, and Redis. It serves as a management system for coordinating web server routing, language runtime versions, database administration, and SSL certificate provisioning within Docker containers. The project distinguishes itself through a comprehensive PHP runtime manager that allows for switching between multiple language versions and managing extensions in isolated environments. It includes an automated SSL certificate manager that uses webroot validation to provision and renew

This project provides a library of standardized configuration templates and infrastructure-as-code tooling designed to create reproducible, containerized development environments. By utilizing the Dev Container specification, it enables teams to define isolated workspaces that ensure consistent tooling, runtimes, and editor settings across different machines and team members. The project distinguishes itself by offering a framework for authoring and distributing reusable environment definitions as container images. This approach leverages existing registry infrastructure for versioning and di

Python-Guide-CN is a Chinese translation of a comprehensive guide to idiomatic Python programming and software development. It serves as a curated programming tutorial and ecosystem reference, providing a structured path for learning Python syntax, standard libraries, and professional coding patterns. The project distinguishes itself by offering detailed instructions for setting up development environments across Windows, macOS, and Linux. It specifically focuses on the selection of interpreters and the management of virtual environments to ensure a consistent workspace. The guide covers a b