8 个仓库
Systems for collecting, processing, and visualizing user interaction data.
Distinguishing note: Focuses on event-based analytics rather than general business intelligence.
Explore 8 awesome GitHub repositories matching data & databases · Event Analytics. Refine with filters or upvote what's useful.
Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup
Collects and visualizes user event data for mobile and web applications.
This software is a mobile app analytics toolkit, a social graph API client, and a social sharing library for iOS. Its primary purpose is to enable the tracking of application events and ad conversions, the retrieval of user profiles and social connections from the Facebook Graph API, and the publication of content to social feeds and messaging services. The toolkit provides specialized capabilities for social login integration and identity management, including the handling of access tokens and session refreshing. It features a dedicated system for deep link navigation to route users to speci
Implements an event-driven pipeline to log user interactions and conversion events via a buffered queue.
Fathom is a privacy-focused website analytics server written in Go. It monitors website traffic and page views without collecting personal data or using intrusive cookies, providing a self-hosted alternative for traffic monitoring. The system utilizes a Preact-based dashboard interface for visualizing traffic patterns and reports. Data is persisted in a SQL database analytics store, with support for MySQL, PostgreSQL, and SQLite. The project covers the collection of visitor data via lightweight tracking snippets and the management of that data through a pluggable storage layer. It includes m
Implements a server-side system for collecting and processing user interaction and event data.
Autotrack 是一个用于 Google Analytics 的 JavaScript 库,可自动捕获用户交互和页面参与度。它提供了一个声明式分析实现系统,允许通过 HTML 属性跟踪 Web 事件,从而避免为每次交互编写自定义 JavaScript。 该项目包含一个分析包生成器,用于创建仅包含项目所需特定跟踪插件的最小化 JavaScript 文件。它还作为一个单页应用(SPA)跟踪器,监控浏览器历史记录的变化以记录虚拟页面浏览量。 该库涵盖了广泛的参与度衡量能力,包括跟踪滚动深度、元素可见性和媒体查询状态。它还提供了 Web 分析数据标准化工具,例如过滤 URL 参数和标准化路径以防止重复条目。
Automatically captures user interactions and page engagement as event-based analytics for Google Analytics.
supabase-js 是一个全面的客户端库,旨在将前端应用程序与托管的后端即服务 (BaaS) 集成。它提供了一个统一的接口,用于与 PostgreSQL 数据库、身份管理系统、云对象存储和实时数据同步进行交互。 该库具有同构客户端设计,可在浏览器和服务器环境中运行。它通过类型安全的方法脱颖而出,利用 TypeScript 将数据库模式直接映射到客户端定义,并采用基于 PostgREST 的 API 将 JavaScript 调用转换为 RESTful 请求。 该客户端涵盖了广泛的功能,包括通过 OAuth、OIDC 和通行密钥 (passkeys) 进行用户身份验证,以及使用签名令牌进行会话管理。它通过 S3 兼容的存储接口管理大规模二进制数据,并通过基于 WebSocket 的订阅实现实时应用程序更新,以进行数据库更改和状态同步。其他功能包括无服务器边缘函数的调用以及使用向量嵌入执行相似性搜索。
Manages the pipeline for collecting and aggregating structured analytics events for monitoring.
jStorm is a distributed stream processing engine designed for executing low-latency computations on high-volume data streams using Apache Storm topologies. It functions as a real-time data analytics platform and distributed task orchestrator that manages complex data pipelines via directed acyclic graph execution. The system provides a scalable framework for data pipeline management, incorporating backpressure-aware flow control to regulate ingestion rates and dynamic resource allocation to adjust computing resources based on real-time demand. It maintains compatibility with Apache Storm conf
Builds scalable systems that trigger computations and analysis based on continuous streams of event data.
Builder 是一个低代码 Web 平台和内容管理系统,专为响应式网站的可视化构建而设计。它是一款由人工智能驱动的设计工具,能够将自然语言提示词转换为结构化的页面布局,并提供用于实时编辑和组件排列的拖拽式界面。 该平台通过将数据驱动的开发直接集成到设计过程中脱颖而出,允许用户无需手动编码即可将界面元素绑定到后端数据库内容。它支持通过注入自定义脚本和样式表进行扩展,使开发者能够在全局和区块级别修改页面行为及视觉呈现。 除了设计功能,该系统还涵盖了 Web 管理的全生命周期,包括向容器化环境的自动部署和即时发布。它还具备集成监控工具,可通过中央仪表盘跟踪访客参与度和网站流量指标。
Captures visitor interaction data through instrumentation hooks to report engagement metrics to a centralized dashboard.
This project serves as a centralized repository and management platform for custom drawing assets used in collaborative diagramming environments. It provides a structured system for packaging, distributing, and discovering reusable shapes and components, ensuring that visual elements remain consistent and accessible across different design workflows. The platform distinguishes itself by integrating validation and analytics tools directly into the asset lifecycle. It enforces compatibility through schema-based validation of library files and maintains a searchable index of community-contribute
Collects and processes client-side interaction events to track asset popularity and reach.