Awesome GitHub RepositoriesScientific and Educational Tools

This project serves as a centralized directory and interoperability hub for the Model Context Protocol, providing a curated collection of standardized service connectors that bridge artificial intelligence models with external software, databases, and APIs. It facilitates the integration of AI agents with diverse ecosystems by offering a registry of machine-readable interface definitions that enable dynamic tool discovery and structured context injection. The directory distinguishes itself by focusing on the protocol-based interoperability required for autonomous AI agents to interact with he

This project is a curated knowledge repository designed to support the professional development of software engineers. It functions as a comprehensive index of industry best practices, methodologies, and design principles, providing a structured roadmap for those seeking to improve their technical skills, architectural decision-making, and career trajectory. The repository distinguishes itself through a community-driven approach, relying on peer-reviewed contributions to maintain an up-to-date collection of resources. It organizes vast amounts of technical information into a hierarchical taxo

FMHY is a community-driven index designed to organize and distribute decentralized digital content through standardized metadata and protocol-agnostic linking. It functions as a resilient, distributed map of internet resources, providing a structured directory that facilitates the discovery of media, software, and educational tools without reliance on centralized control. The project distinguishes itself by maintaining a massive, human-verified repository of external links that span diverse digital ecosystems, including peer-to-peer networks, Usenet, and direct download servers. By utilizing

This project provides a standardized RESTful API for accessing comprehensive aerospace mission records and space exploration data. It serves as a structured interface for retrieving historical and upcoming launch details, hardware specifications, and media assets, while also providing real-time tracking for satellite orbital paths. The service distinguishes itself through a robust architecture designed for high-performance data retrieval. It utilizes in-memory response caching to reduce latency and server load, alongside query-parameter-based filtering that allows users to precisely control t

Open-spectrometer-hardware est un instrument scientifique open source conçu pour capturer et analyser les spectres de lumière visible. Il fonctionne comme une plateforme matérielle qui se connecte à un ordinateur pour effectuer la collecte de données spectrales et l'analyse de l'intensité lumineuse pour des applications de recherche et éducatives. Le système utilise un châssis modulaire fabriqué à partir de composants découpés au laser, ce qui garantit un alignement cohérent des éléments optiques internes. Il capture la lumière via un chemin de réseau de diffraction et convertit l'intensité résultante en données numériques à l'aide d'un capteur linéaire. Ces données sont transmises à un ordinateur hôte via un protocole série, où le logiciel applique des matrices de calibration pour mapper les positions des pixels à des longueurs d'onde spécifiques. Le projet fournit les spécifications nécessaires pour assembler des dispositifs de mesure personnalisés à partir de composants électroniques standard et de pièces fabriquées. Il prend en charge la capture de données automatisée et l'intégration dans des environnements de laboratoire via son interface en ligne de commande et ses capacités d'acquisition de données basées sur USB.