Open-source alternatives to Quip Node Manager

Dockhand is a multi-host Docker manager and container management interface used to control the lifecycle of containers, images, volumes, and networks. It functions as a Docker Compose orchestrator and GitOps deployment tool, enabling the synchronization of application stacks directly from remote Git repositories. The project distinguishes itself as an enterprise Docker access controller, providing role-based access control and identity verification through OIDC, LDAP, and multi-factor authentication. It secures sensitive data using AES-256-GCM encryption for credentials at rest and handles na

caddy-docker-proxy is a dynamic HTTP reverse proxy and Docker network ingress controller that automatically generates routing configurations by reading labels from Docker containers. It serves as a service discovery tool that detects container IP addresses in real time to route incoming web traffic to the correct backend targets. The project functions as a distributed proxy orchestrator, capable of pushing generated configurations from a central controller to multiple remote server instances to scale request handling. It automates the issuance and renewal of TLS security certificates for prox

Kubo is a peer-to-peer implementation of the InterPlanetary File System (IPFS) designed for decentralized data storage and content delivery. It uses content-addressing, directed acyclic graphs, and distributed hash tables to identify, distribute, and retrieve data across a network without relying on central servers. The project differentiates itself by providing a virtual filesystem via FUSE, which maps decentralized network namespaces to local operating system directories for direct file access. It also includes integrated HTTP gateways that translate peer-to-peer content into standard web t

OpenSquilla is an LLM agent orchestration framework designed to coordinate multi-step AI workflows and tool execution using directed acyclic graphs. It functions as a centralized system for managing specialized skill packages and executing complex reasoning sequences. The project distinguishes itself through a routing gateway that directs tasks to different AI providers based on complexity, cost, and performance. It utilizes a multi-tier AI memory system that organizes working, episodic, and semantic knowledge using local embeddings and SQLite, alongside a secure execution sandbox that isolat

Laradock is a collection of pre-configured Docker containers and orchestration definitions used to deploy multi-service development sandboxes. It functions as a PHP runtime manager and a Docker-based development environment, providing a set of modular service definitions for deploying web servers, databases, and caches through a single orchestration file. The project enables the creation of a local ecosystem featuring Nginx, MySQL, Redis, and Elasticsearch to mirror production infrastructure. It allows for switching between different versions of PHP and associated extensions, as well as manag

cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory, network, and disk usage statistics from running containers. It functions as a telemetry tool for discovering containers across various runtimes and serves as a Prometheus-compatible metrics exporter. The agent distinguishes itself by analyzing Linux control groups to provide visibility into resource consumption and limits. It utilizes kernel perf events and NUMA statistics for low-level hardware performance tracking and diagnostics, and it can identify out-of-memory kill events th

OpenMoonray is a production-grade physically based rendering system and path-tracing engine. It simulates the physical behavior of light to generate high-fidelity photorealistic images and is compatible with Universal Scene Description files for visualizing complex 3D scenes and production pipelines. The system is designed as a distributed rendering framework, capable of splitting heavy computational workloads across multiple machines or cloud clusters to accelerate image generation. It integrates OpenColorIO for consistent color management across different display devices and color spaces.

CRI-O is an open-source container runtime that implements the Kubernetes Container Runtime Interface (CRI) to manage container images, pods, and containers on cluster nodes using OCI-compatible runtimes. It serves as a node-level container manager that handles image pulling, container lifecycle, and resource monitoring for Kubernetes clusters, running containers according to the Open Container Initiative specifications. The runtime distinguishes itself through live configuration reloading that applies changes to runtime definitions, registry mirrors, and TLS certificates without restarting th

Docker Compose UI is a web-based management platform that provides a graphical dashboard for orchestrating multi-container application stacks. It serves as a centralized interface for managing container lifecycles, monitoring service health, and executing commands within running environments without requiring manual command line input. The platform distinguishes itself by integrating directly with version control systems to automate the deployment of infrastructure definitions. By cloning project files from remote repositories, it ensures consistent environment configurations across different

Komodo is a remote server orchestrator and container deployment platform. It provides a centralized interface for managing multiple remote hosts through lightweight agents, coordinating Docker Swarm and Kubernetes clusters, and automating software delivery via integrated CI/CD pipelines. The system distinguishes itself with a TypeScript-based automation engine that executes typed scripts against the system API for complex operational workflows. It supports infrastructure-as-code through TOML-based declarative configuration synchronization and provides ephemeral build infrastructure that provi

Mace is a mobile deep learning inference framework and hardware acceleration engine. It functions as a runtime for executing neural network models on mobile devices, distributing computations across CPUs, GPUs, and NPUs. The project includes a cross-platform model converter for transforming pre-trained neural networks from various industry formats into mobile-optimized representations. It also provides a neural network obfuscator that converts model weights into source code to protect intellectual property from reverse engineering. The framework manages on-device resources by optimizing memo

This project provides a comprehensive architectural blueprint and implementation set for building a platform-as-a-service on Kubernetes. It serves as a technical resource for deploying container orchestration environments, managing the full software development lifecycle, and integrating a complete DevOps toolchain. The implementation emphasizes automated software delivery through the integration of build and delivery pipelines, private container registries, and distributed configuration systems. It enables the decoupling of application settings from images via a centralized configuration man

Hashcat is a high-performance hash cracking software and OpenCL compute application used to recover plain-text passwords from hashed data. It functions as a GPU-accelerated recovery tool and distributed password cracker, leveraging CPUs and GPUs to perform intensive cryptographic computations. The system differentiates itself through a distributed cracking workflow that coordinates tasks across multiple machines via an overlay network to share computational load. It further optimizes recovery speed using Markov chain keyspace optimization to prioritize the most likely password candidates. Th

ubuntu-rockchip is a Rockchip Ubuntu distribution and GPU-accelerated Linux image designed for RK35XX series single-board computers. It provides a 64-bit ARM64 Linux environment that deploys a standard Ubuntu desktop on top of specialized board-support packages. The system features hardware drivers for 3D graphics acceleration and 4K video rendering and streaming. These optimizations allow for high-resolution media playback and increased rendering speeds for 3D applications on Rockchip hardware. The distribution includes tools for single-board computer administration, such as a guided first-

ClearML is a comprehensive MLOps platform designed to manage the end-to-end machine learning lifecycle, from initial experimentation to production deployment. It provides a suite of integrated tools including a pipeline orchestrator for automating workflows, an experiment tracking tool for logging hyperparameters and metrics, and a metadata-driven data versioning system for managing large-scale datasets and model artifacts. The platform is distinguished by its advanced compute management and serving capabilities. It features a GPU compute manager that supports fractional resource slicing and

This project is a containerized node orchestrator and deployment tool designed to manage execution clients and rollup nodes on a blockchain network. It provides a coordinated stack of isolated virtual environments to establish and maintain network connections. The system includes specialized data provisioning tools for initializing local directories and fetching verified archival snapshots to bypass sequential synchronization. It also features a monitoring suite with health check services and dashboards to track synchronization progress and overall system performance. The orchestrator covers

Darknet is a low-level neural network engine and framework written in C. It is designed for training and deploying deep learning models, with a primary focus on convolutional neural networks. The project serves as a CUDA accelerated deep learning library that offloads heavy mathematical operations to NVIDIA graphics hardware. This acceleration is used to increase processing speed and reduce execution time during the training of large networks. The engine supports a range of activities including deep learning research, image recognition development, and the training of convolutional neural ne

Sysdig is a Linux system observability tool and kernel event analyzer designed for capturing and analyzing kernel-level system calls and operating system events. It functions as a system call tracer and container security monitor, providing deep visibility into the activity of machines, virtual machines, and containers. The project specializes in non-invasive container inspection, allowing for the monitoring of container activity and resource usage without modifying the container environment or adding instrumentation. It enables the recording of detailed system traces into binary files for re

Jellyfin-desktop is a cross-platform media client for Windows, macOS, and Linux. It functions as a native wrapper that provides a standalone desktop shell for browsing and playing movies, music, and shows from a remote home media server. The application integrates Chromium with native operating system GPU drivers to provide hardware-accelerated video playback for high-resolution media streams. It utilizes an Electron-based runtime to render a web-based user interface within a native desktop environment. The client manages local file-system caching for session data and application assets to r

Cube Studio is a cloud-native MLOps platform and Kubernetes-based AI orchestrator designed for the entire machine learning lifecycle. It provides a distributed training framework for large-scale model fine-tuning, a GPU resource manager for hardware virtualization, and an ML pipeline orchestrator that uses visual directed acyclic graphs to manage end-to-end workflows. The platform distinguishes itself through its specialized LLM inference server, which supports retrieval-augmented generation and the construction of private knowledge bases. It features a dedicated system for supervised fine-tu

Kruise is a workload management system designed for large-scale applications on Kubernetes. It provides a framework for advanced orchestration, scaling, and upgrade strategies to maintain stability in massive deployments. The project is distinguished by its ability to perform in-place updates of container images and resource limits without deleting and recreating pods. It includes a dedicated image pre-puller to accelerate pod startup and a sidecar injector to dynamically manage the lifecycle of sidecar containers. Additionally, a resource distributor synchronizes configuration maps and secre

PowerInfer is a high-performance local large language model inference engine and sparse inference framework. It provides a runtime for executing models on consumer-grade hardware, utilizing a GPU acceleration backend to optimize tensor operations for graphics processors. The system distinguishes itself through a sparse inference framework that increases generation speed by skipping computations based on activation sparsity in model weights. It includes a GGUF model converter for transforming weights and metadata into a unified binary format, as well as an OpenAI API compatible server for inte

ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an experiment tracking tool, a data versioning system, and a pipeline orchestrator, while providing infrastructure for GPU cluster management and model serving. The platform is distinguished by its ability to handle hybrid-cloud compute scheduling and fractional GPU allocation, allowing multiple workloads to share a single hardware accelerator. It employs a metadata-based approach to data versioning, using virtual views to track large datasets and artifacts without duplicating r

Modular is a unified machine learning development platform designed for building, compiling, and deploying high-performance neural network models. It provides a comprehensive execution engine that supports both local and production-grade inference, enabling developers to manage the entire model lifecycle from initial architecture definition to scalable, containerized service deployment. The platform distinguishes itself through a hardware-agnostic runtime that abstracts diverse silicon architectures, allowing models to execute efficiently across varied compute environments. It includes a spec

Dask is a parallel computing framework and distributed task scheduler designed to scale Python data science workflows from single machines to large clusters. It functions as a cluster resource manager that orchestrates computational logic by representing tasks and their dependencies as directed acyclic graphs. This architecture allows the system to automate the distribution of workloads across available hardware while managing complex execution requirements. The project distinguishes itself through a lazy evaluation engine that defers data operations until they are explicitly requested, enabl

This project is a self-hosted platform-as-a-service that provides a centralized management interface for deploying, configuring, and monitoring containerized applications and databases on private infrastructure. It functions as a visual control plane, automating the end-to-end lifecycle of services from source code to production. By managing container orchestration, networking, and resource allocation, it allows users to maintain full control over their own hardware while streamlining the delivery of software. The platform distinguishes itself through its agentless architecture, which uses se