Awesome GitHub RepositoriesMissing Value Detection

Nightingale is a Prometheus-compatible monitoring and alerting platform designed to centralize telemetry management across multiple time-series databases. It functions as a multi-source alerting engine and metric data pipeline that ingests telemetry via remote write protocols and triggers alarms based on data from sources such as Prometheus, Elasticsearch, Loki, and ClickHouse. The system is distinguished by its automated alert healing system, which executes predefined scripts and RPC-based corrective actions when monitoring thresholds are breached. It supports distributed alert processing, a

This is an interactive combustion engine simulator that models internal combustion engine mechanics and generates realistic real-time audio output. The simulation computes torque, RPM, and throttle response from user-defined engine components and parameters, with keyboard controls for ignition, starter, throttle, clutch, gears, and simulation speed. The engine behavior is modeled by assembling reusable mechanical parts like cylinders, crankshafts, and exhausts with adjustable parameters, using a custom node-graph scripting language that defines engine components as interconnected nodes. Audio

MobX State Tree is a structured, tree-based state management library for JavaScript applications that combines typed model definitions with reactive snapshots and patch-based change tracking. It provides a reactive state container with runtime and compile-time type safety, where application state is defined as a tree of typed models with collocated actions, computed views, and lifecycle hooks for predictable state mutations. The library is built around an action-centric mutation model that encapsulates all state changes within named functions that directly modify the tree, supported by genera

This is a configuration library for JVM applications that parses HOCON, JSON, and Java properties files into an immutable tree structure. It resolves ${...} placeholders by traversing the configuration tree and falling back to environment variables and system properties, and validates loaded configurations against a reference schema. The library loads configuration from classpath resources, files, URLs, system properties, and environment variables, merging them with priority-based override semantics. It provides typed value access with automatic type coercion, supports dot-path navigation,

Orange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The

dtale 是一个基于 Web 的 pandas 数据框交互式网格与可视化工具，设计为探索性数据分析工具。它提供了一个基于浏览器的界面用于分析表格数据结构，允许用户在无需编写手动代码的情况下计算统计数据、检测异常值并计算相关性。 该项目作为嵌入式数据查看器运行，可通过 iframe 或自定义路由集成到 Web 应用中，并对 Django、Flask 与 Streamlit 提供特定支持。它通过交互式数据网格与能够生成直方图、箱线图与 3D 散点图的数据可视化库的组合，实现了对数据集的探索。 该平台涵盖了广泛的数据管理与分析能力，包括表格数据清理、重塑与交互式过滤。它包括用于缺失数据分析、相关性计算与预测能力评分的观测工具。对于会话管理，它支持多实例追踪与跨并发工作进程的状态持久化。 该界面受用户名与密码认证保护，并支持从分隔文件、电子表格与 ArcticDB 数据存储中进行数据摄入。

r4ds 是一个数据科学课程和教育资源，专为精通 R 编程语言而设计。它为导入、整理、转换和可视化数据的端到端过程提供了结构化的学习路径。 该项目强调可重复的数据科学指南和全面的数据整理课程。它包括关于用于分层数据可视化的图形语法（grammar of graphics）的专业教程，以及使用 Quarto 创建的融合可执行代码与叙述性文本的技术出版物。 该材料涵盖了广泛的分析能力，包括来自不同来源的数据摄取、关系数据连接以及分类变量的管理。它还涉及数据清洗、数学建模以及多格式专业报告和演示文稿的生成。 该课程侧重于函数式编程和整洁数据（tidy data）原则的实际应用，以创建透明且可重复的分析。

This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi

StreetComplete 是一款众包地图实用工具和 OpenStreetMap 的 Android 编辑器。它作为一个基于位置的调查工具和离线数据收集器，允许用户通过现场验证来识别并填补共享全球地图数据库中缺失的地理信息。 该应用将缺失的地图属性呈现为一系列需要在特定坐标处回答的问题。它通过引导用户完成任务来更新地理数据，从而实现移动地图编辑。 该系统涵盖地理数据编辑和用户附近不完整地图信息的检测。它包括离线数据录入功能，在没有互联网连接的情况下捕获更新，并在恢复连接后将其作为分组变更集上传。