Awesome GitHub RepositoriesEvent-Driven Function Mapping

Subql is a blockchain data indexing framework and TypeScript-based indexer used to extract raw blockchain events and transactions and transform them into structured, queryable data entities. It functions as a data API and a tool for building decentralized application backends, providing a query interface for type-safe access to indexed blockchain data. The project includes an AI-powered query engine that utilizes large language models to translate natural language questions into structured GraphQL queries. This system can orchestrate multi-step queries by breaking down complex requests into s

RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen

Rowy is a low-code backend platform for Firebase that provides a NoSQL spreadsheet interface for managing databases and deploying cloud functions. It functions as a cloud function workflow orchestrator and a database management tool that presents collections as editable grids for visual record editing and bulk data manipulation. The platform distinguishes itself by allowing users to trigger custom server-side scripts and business logic based on database changes and external events. It includes a role-based access control system for defining specific permissions for database collections, indiv

Firetable 是一个 Firebase 数据库的后端管理平台和低代码编排器。它提供了一个类似电子表格的界面，用于管理云数据库记录、定义丰富的数据字段以及控制用户访问权限。 该项目作为一个无代码自动化平台和云函数编排器，允许通过可视化浏览器界面部署和管理无服务器逻辑。它支持创建后端工作流以及由特定字段级数据更改触发的外部 API 集成。 该平台涵盖了广泛的功能领域，包括针对表和字段安全性的基于角色的访问控制、用于自定义数据输入类型的动态模式解析，以及用于批量数据导入和导出的工具。它还集成了来自外部 Web 端点的实时数据检索，以填充数据库单元格。

Kubernetes-based, scale-to-zero, request-driven compute

这是一个用于 Lightweight Charts 库的 Python 封装，旨在渲染交互式的浏览器端金融可视化图表。它是一个构建自定义金融仪表盘和界面的框架，能够集成实时市场数据流和历史数据序列。 该库支持通过组合多面板图表、自选股列表和订单录入表格来构建复杂的布局，并将其整合进统一的工作区。它通过将实时 Tick 或 Bar 数据直接流式传输到活跃的图表中，支持实时市场监控，无需刷新页面即可实现增量更新。 除了基础渲染，该工具包还提供了强大的技术分析功能，包括直接在画布上绘制标注、趋势线和标记。用户可以配置蜡烛图、成交量柱状图和图例的视觉外观，并将时间周期选择或键盘快捷键等交互操作映射到自定义的 Python 逻辑中。