Metadata-driven CLI for AI Agent Bots — 48 operations across 7 domains, structured JSON envelope I/O, zero interactive prompts.
metadata-driven 开源项目推荐(97 个)
metadata-driven 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 97 个仓库jQuery UI widget for structured queries like "Contacts where Firstname starts with A and Birthday before 1/1/2000 and State in (CA, NY, FL)"...
使用 REST 或 localStorage 的模型驱动 CRUD Web UI。
Framework for building CRUD UIs with models rather than code.
Generic REST API for PostgreSQL driven by metadata models instead of code: CRUD, search, filters, paging, CSV export, charts, stats, file uploads, and auto-generated OpenAPI/Swagger docs. Node.js + Express + TypeScript.
自托管媒体种子包 2026
本体即软件。一个可执行的业务本体:AI 编写它,运行时运行它,智能体操作它,你拥有它。开放协议与运行时,Apache-2.0。
The Metadata Driven framework for Databricks Lakeflow Declarative Pipelines (formerly Delta Live Tables). Metadata framework that generates production ready Pyspark code for Lakeflow Declarative Pipelines
Lightweight CRUD framework for heavy lifting using ASP.net and MS-SQL Server.
Metadata-driven framework for Databricks Spark Declarative Pipelines. Config-driven, pattern based approach to batch & streaming across the medallion architecture. Deploys via Declarative Automation Bundles. Built for simplicity, extensibility, and alignment with the Databricks product roadmap.
Provide an easy way with Python to protect your data sources by searching its metadata. 🛡️
An open-source framework for automated sensitive data classification and adaptive privacy-preserving transformations in data pipelines.
Executable Structured Semantic Language
Meta-model, sample models, mock data, and scripts to build CRUD Apps with models rather than code
DataCoolie — A Python data pipeline framework for Polars and Spark, across Local, AWS, Microsoft Fabric, and Databricks.
The reference app for AI-written enterprise software: a complete CRM in typed ObjectStack metadata — business logic under 100k tokens. Small enough to hand an agent in one context window.
elevata is an open-source Architecture Runtime for modern data platforms — turning metadata into explicit, discoverable, controllable, executable, auditable, and deterministic data architecture.
A metadata-driven product data system with a built-in business rules engine and communications protocol.
Example API implementation for Data Caterer
React component for structured queries like "Contacts where Firstname starts with 'A' and Birthday before 1/1/2000 and State in (CA, NY, FL)"...
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/metadata-driven。
- 该话题在 GitHub 上共有 97 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2055 Star,覆盖 7 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。