Awesome GitHub RepositoriesResource Visualization Dashboards

This project is a cross-platform desktop application that functions as a graphical shell replacement. Built using web technologies, it provides a unified workspace that integrates a terminal emulator with real-time system monitoring tools, allowing users to interact with their operating system through a touch-friendly, native-like interface. The application distinguishes itself through a highly customizable layout engine that uses external configuration files to arrange interface components. It features a distinct visual aesthetic and wraps standard terminal emulation within a graphical conta

Sentinel is a microservice flow control framework designed for managing traffic limits, distributed circuit breaking, and adaptive overload protection. It serves as a traffic shaping component that defines resource boundaries to regulate request flow and ensure reliability across distributed systems. The project provides a real-time monitoring dashboard for tracking resource metrics and performance bottlenecks across service clusters. It includes a visual interface for the real-time management of flow control and circuit breaking rules, allowing parameters to be updated without restarting the

ctop ist ein terminalbasiertes Dashboard-Dienstprogramm zur Überwachung und Verwaltung containerisierter Anwendungen. Es bietet eine Echtzeit-Schnittstelle zur Verfolgung des Betriebsstatus und der Ressourcennutzung mehrerer Container gleichzeitig und bietet eine zentralisierte Ansicht des Systemzustands direkt in einem Terminal-Emulator. Das Tool zeichnet sich dadurch aus, dass es direkt in die Container-Runtime integriert ist, um sowohl allgemeine Infrastruktur-Übersichten als auch tiefe Inspektionsfunktionen bereitzustellen. Benutzer können ihr Dashboard durch persistente Filter- und Sortierpräferenzen organisieren, um sicherzustellen, dass Leistungsdaten über verschiedene Sitzungen hinweg strukturiert bleiben. Über die Überwachung hinaus erleichtert das Dienstprogramm die operative Steuerung, indem es Benutzern ermöglicht, Shell-Befehle auszuführen und auf Live-Logs für einzelne Container zuzugreifen. Diese Kombination aus Leistungsvisualisierung und Lebenszyklusmanagement bietet eine umfassende Umgebung zur Diagnose von Engpässen und zur Aufrechterhaltung von Container-Zuständen.

gdb-dashboard is a visual frontend and Python-based extension for GDB. It provides a modular dashboard that enables real-time visualization of program state during debugging sessions. The project replaces manual command-line interaction with a structured visual interface. It utilizes syntax highlighting for program state data to improve readability and analysis during the debugging process. The system focuses on C and C++ debugging, automating the monitoring of program memory and execution state through a text-based user interface. It achieves this by integrating with GDB APIs to retrieve sy

This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ

RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen

ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

LiteMonitor is a customizable desktop system dashboard and hardware performance monitor. It provides a visual overlay for tracking real-time CPU, GPU, memory, and network metrics, including temperature and power consumption. The application is an extensible system monitor that uses a modular plugin system to integrate third-party data sources, such as weather, stocks, and cryptocurrency, alongside core hardware telemetry. The tool includes a theme engine for adjusting colors, fonts, and layout, as well as window management controls for transparency and click-through behavior. It supports sys

Kuma ist ein Multi-Zone-Service-Mesh, das Layer-4- und Layer-7-Netzwerkverkehr zwischen Containern und virtuellen Maschinen orchestriert. Es nutzt eine zentralisierte Control-Plane zur Verwaltung einer Envoy-basierten Data-Plane und bietet ein einheitliches Netzwerk-Overlay über mehrere Clouds, Cluster und On-Premises-Umgebungen hinweg. Das Projekt implementiert Zero-Trust-Netzwerksicherheit durch identitätsbasierte Zugriffskontrolle und gegenseitige TLS-Verschlüsselung, wobei Zertifikate automatisch bereitgestellt werden, um Dienstidentitäten zu verifizieren. Es unterstützt Multi-Mesh-Management, was es einer einzelnen Control-Plane ermöglicht, mehrere unabhängige oder isolierte Service-Meshes zu koordinieren, um die betriebliche Komplexität zu reduzieren. Zu den Funktionen gehören dynamisches Traffic-Routing für Canary- und Blue-Green-Deployments sowie zentralisierte Service-Observability zur Überwachung der Netzwerkleistung und Systemintegrität. Das System bietet zudem Resilienztests durch Fault-Injection und automatische Wiederholungsmechanismen. Die Data-Plane wird durch automatisierte Proxy-Injektion und template-basiertes Bootstrapping etabliert, um den Netzwerkverkehr abzufangen, ohne Änderungen am Anwendungsquellcode zu erfordern.

Goldilocks is a suite of tools for analyzing resource usage and managing autoscaling policies in Kubernetes. It functions as a resource optimizer and capacity planner, providing a dashboard and command line interface to analyze workload utilization patterns and suggest efficient CPU and memory requests and limits for containers. The project distinguishes itself by visualizing recommendations from the Vertical Pod Autoscaler via a web interface and providing a lifecycle manager to create and configure these autoscaler objects. It includes capabilities to aggregate resource recommendations acro