12 dépôts
Utilities for managing file system paths and directory resolution.
Distinguishing note: Focuses on configuration of file resolution rather than data processing.
Explore 12 awesome GitHub repositories matching data & databases · Path Configuration. Refine with filters or upvote what's useful.
DuckDB is an in-process analytical database engine designed to run directly within an application process. As a zero-dependency, embedded system, it provides enterprise-grade SQL data processing capabilities without the overhead of managing a dedicated database server. It is built to handle complex analytical and aggregation tasks by storing and retrieving information in columns, allowing for high-performance relational data manipulation. The engine distinguishes itself through a columnar vectorized execution model that maximizes CPU cache efficiency during query operations. It employs adapti
Simplifies file management by allowing users to define root directories for relative path resolution.
Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
Provides hierarchical navigation paths to facilitate intuitive data exploration for end users.
chezmoi is a command-line utility designed to manage and synchronize system configuration files across multiple machines. It uses a local Git repository as the single source of truth, allowing users to track, version, and distribute dotfiles while maintaining a consistent state across diverse operating systems and hardware architectures. The project distinguishes itself through a declarative reconciliation model that computes the difference between the current filesystem and the desired state defined in the repository. It features a robust templating engine that processes configuration files
Combines path segments into valid paths using host-appropriate separators.
Grav is a flat-file content management system that eliminates the need for a traditional database by storing site content and configuration in human-readable Markdown and YAML files. Built as a modular PHP web framework, it uses a hierarchical page routing system where the physical directory structure directly determines the site's URL paths. The platform is distinguished by its event-driven plugin architecture and a command-line interface that prioritizes system administration, deployment, and maintenance tasks. It utilizes a blueprint-driven system to generate administrative forms from stru
Maps logical file streams to specific physical directories to control content and asset storage locations.
JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot applications. Its core identity centers on generating data reports and full-screen dashboards from natural language descriptions, eliminating the need for manual design. The platform also provides a conversational query interface that translates plain-language questions into database queries, returning results as tables and charts without requiring SQL knowledge. What distinguishes JimuReport is its integration of AI skills that can be installed with a single command, enabling report
Lets users click a chart element to reveal a more detailed breakdown of that data point.
Pixie is an open-source observability platform for Kubernetes that uses eBPF to automatically capture telemetry data from clusters without requiring any manual instrumentation or code changes. It functions as an eBPF telemetry collector, a continuous application profiler, a network traffic analyzer, and a scriptable telemetry query engine, all within a single Kubernetes-native tool. The platform distinguishes itself through several integrated capabilities. It continuously samples stack traces from compiled-language code to identify CPU performance bottlenecks, visualizing the results as inter
Opens per-service views showing latency, error, and throughput over time with slowest request samples.
The C/C++ extension for Visual Studio Code provides language support for C and C++ programming, including IntelliSense-powered code editing, navigation, and debugging capabilities. It enables syntax highlighting, code completion, hover information, and error checking for C and C++ source files, along with features like semantic colorization, symbol search, and call hierarchy exploration. The extension offers comprehensive debugging support for C/C++ programs, including launching debug sessions with breakpoints, stepping through code, and inspecting variables. It supports debugging multi-threa
Configures additional include paths for resolving header files during IntelliSense.
webfunny_monitor is an open-source frontend monitoring and analytics platform that tracks page load performance, JavaScript errors, and user behavior. It serves as a comprehensive tool for measuring page load speed, API response times, client-side errors, and custom user events, with real-time dashboards that stream aggregated metrics via WebSocket for sub-second updates. The project distinguishes itself through its architectural approach: events are collected asynchronously via lightweight HTTP beacons and batched before transmission, while a memory-bounded local storage buffer ensures relia
Provides a flexible dimension drill-down engine for query-time pivot analysis across user ID, version, or region.
Davinci est une plateforme de business intelligence et de visualisation de données utilisée pour construire des tableaux de bord et des rapports interactifs. Elle fonctionne comme un constructeur de tableaux de bord basé sur SQL et un service d'analyse multi-tenant qui se connecte aux bases de données via JDBC et des fichiers CSV pour transformer des données brutes en composants visuels. La plateforme se distingue par son modèle de sécurité granulaire, qui inclut des permissions au niveau des lignes et des colonnes intégrées avec l'authentification LDAP et OAuth2. Elle fournit également un outil de visualisation intégré qui permet d'insérer des graphiques et des tableaux de bord sécurisés et paramétrés dans des applications externes via des URL et des cadres (frames). Le système couvre un large éventail de capacités, y compris la modélisation de données avec des modèles SQL, un moteur de mise en page par glisser-déposer pour les tableaux de bord réactifs, et une grande variété de types de visualisation tels que les diagrammes de Sankey, les graphiques radar et les cartes géographiques. Elle inclut en outre l'automatisation pour la planification de rapports par e-mail et utilise la mise en cache clé-valeur pour optimiser les performances des requêtes.
Enables data exploration through filtering chart elements and pivoting views across different dimensions.
Include What You Use est un optimiseur d'inclusions C++ et un analyseur de dépendances d'en-têtes. Il identifie les inclusions d'en-têtes inutilisées ou manquantes dans les fichiers sources pour réduire l'encombrement du projet et améliorer les performances de compilation. L'outil effectue une analyse statique en utilisant un arbre de syntaxe abstraite basé sur Clang pour mapper l'utilisation des symboles et suivre les effets du préprocesseur à travers différentes configurations de build. Il peut réécrire automatiquement les fichiers sources en insérant ou supprimant des directives de préprocesseur basées sur le graphe de dépendances calculé. Le système s'intègre aux bases de données de compilation pour déterminer les flags de compilation exacts utilisés pour chaque fichier source, permettant l'analyse et l'élagage des dépendances à travers un projet entier.
Reduces project bloat and compilation times by optimizing recursive include paths and pruning unused headers.
This is a structured deep learning curriculum for programmers, delivered as a collection of Jupyter notebooks. It teaches the fundamentals of training neural networks for computer vision, natural language processing, tabular data analysis, and collaborative filtering using PyTorch and the fastai library. The course is designed to be hands-on, guiding learners from building a training loop from scratch to fine-tuning pretrained models for a variety of practical tasks. The curriculum distinguishes itself by covering the full lifecycle of a deep learning project, from data preparation and augmen
Sets local directories for datasets, models, and archives via configuration.
This project provides a collection of minimal, modern configuration templates designed to demonstrate industry-standard practices for managing C and C++ build workflows. It serves as a practical guide for developers to implement build automation, dependency management, and project structuring using the CMake build system. The repository distinguishes itself by offering modular examples that cover complex build requirements, such as hierarchical project organization and the integration of external third-party source code. It emphasizes the use of target-based dependency graphs and interface-ba
Standardizes header file organization to ensure consistent include paths for both local and installed library usage.