Awesome GitHub RepositoriesData Reporting

Maigret is an open-source intelligence framework designed for automated digital footprint discovery and identity investigation. It functions as a search engine that aggregates profile metadata by querying thousands of websites for specific usernames, mapping an individual's online presence across diverse platforms. The tool distinguishes itself through recursive discovery capabilities, which identify links within discovered profiles to expand the scope of an investigation automatically. It supports cross-platform identity correlation by mapping disparate accounts and pseudonymous personas, in

This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its

ApexCharts is a comprehensive JavaScript charting library designed for building interactive, responsive, and data-driven visualizations within web applications. It functions as a versatile data visualization framework that supports a wide range of chart types, including categorical, statistical, and financial plots, enabling developers to construct complex dashboards and real-time monitoring interfaces. The library distinguishes itself through a deep commitment to accessibility and high-performance interactivity. It provides built-in support for keyboard navigation, screen readers, and high-c

Duf is a command-line utility designed to provide a comprehensive overview of disk usage and filesystem statistics. It functions as a terminal-based system monitor that retrieves and displays real-time metrics for mounted devices, including capacity, usage, and inode information. The tool distinguishes itself through a responsive terminal-aware layout engine that automatically adjusts to console dimensions and supports custom color themes based on usage thresholds. It provides granular control over data presentation, allowing users to filter filesystem reports by device, mount point, or type,

Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it

Great Expectations is a data quality testing framework and observability platform designed to monitor the reliability of data pipelines. It provides a structured environment for defining, documenting, and automating data quality assertions, allowing teams to validate datasets against expected structure and content before they move through downstream processes. The project distinguishes itself through a declarative domain-specific language that stores quality rules as version-controlled configuration files. It utilizes an execution engine abstraction to translate these high-level assertions in

F Prime ist ein komponentenbasiertes Framework für die Entwicklung und Bereitstellung von Embedded- und Raumfahrtsoftware. Es bietet eine modulare Architektur, die Softwarelogik von Kommunikationsschnittstellen entkoppelt und es Entwicklern ermöglicht, Systemstrukturen über eine domänenspezifische Modellierungssprache zu definieren. Dieser modellbasierte Ansatz ermöglicht eine automatisierte Codegenerierung, die Konsistenz über komplexe Systemtopologien hinweg gewährleistet und gleichzeitig strikte Schnittstellenverträge zwischen Softwaremodulen aufrechterhält. Das Framework zeichnet sich durch sein integriertes Build-System und eine Suite für Bodendatenoperationen aus. Es automatisiert den gesamten Lebenszyklus von Embedded-Software, von der Cross-Kompilierung und dem Abhängigkeitsmanagement bis hin zur Generierung von Telemetrie- und Befehlsschnittstellen. Durch die Bereitstellung einer einheitlichen Umgebung für Onboard-Flugsoftware und bodengestützte Überwachung erleichtert es die nahtlose Integration, das Testen sowie die Steuerung und Überwachung verteilter Embedded-Systeme über verschiedene Hardwareplattformen hinweg. Über die Kernarchitektur hinaus enthält das Projekt umfassende Werkzeuge für die Systembeobachtbarkeit, einschließlich Echtzeit-Telemetrie-Visualisierung, Ereignisprotokollierung und diagnostischer Tracing-Funktionen. Es unterstützt eine breite Palette von Bereitstellungsszenarien, von Bare-Metal-Umgebungen bis hin zu Echtzeitbetriebssystemen, und bietet Mechanismen für Speicherverwaltung, zustandsgesteuerte Verhaltensmodellierung und asynchrone Aufgabenausführung. Das Projekt wird als C++-Repository mit umfangreicher Dokumentation und Build-System-Unterstützung für die plattformübergreifende Entwicklung gepflegt.

Acra is an Android crash reporting framework and diagnostic data collector designed to detect failures and capture device diagnostics, system logs, and application state. It serves as an embeddable library for capturing and processing crash reports, providing a pipeline to send this data to custom backends or via email. The project features a plugin-based sender architecture that allows reports to be routed through HTTP endpoints, email clients, or proprietary backend implementations. It includes a user-controlled reporting system with preference toggles and interactive dialogs to manage user

Gowitness is a system for rendering web interfaces at scale to capture visual snapshots, HTTP metadata, and network scan results. It functions as a headless browser screenshot tool and a web surface mapper used to identify and visually document the attack surface of network ranges and URL lists. The tool includes a screenshot gallery server that provides a web-based interface for browsing, filtering, and managing a database of captures. It specifically serves as an Nmap target visualizer, parsing network scan results to automatically capture screenshots of discovered web services. Capabiliti

Positron is a data science integrated development environment and AI-powered code editor designed for polyglot development, specifically supporting Python and R. It functions as a remote compute workspace that separates the user interface from the execution kernel via SSH or container integration. The environment features a deep integration of large language models that provide context-aware suggestions and automated data analysis by accessing real-time interpreter state, in-memory objects, and plot outputs. It distinguishes itself through a polyglot runtime bridge that enables cross-language