一款 AI 驱动的低代码平台,提供"零代码"与"代码生成"双模式——零代码模式一句话搭建系统,代码生成模式自动输出前后端代码与建表 SQL,生成即可运行。平台内置 AI 聊天助手、AI大模型、知识库、AI流程编排、MCP 与插件体系,兼容主流大模型,支持一句话生成流程图、设计表单、聊天式业务操作,解决 Java 项目 80% 重复工作,高效且不失灵活。
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Updated
Mar 20, 2026 - Java
一款 AI 驱动的低代码平台,提供"零代码"与"代码生成"双模式——零代码模式一句话搭建系统,代码生成模式自动输出前后端代码与建表 SQL,生成即可运行。平台内置 AI 聊天助手、AI大模型、知识库、AI流程编排、MCP 与插件体系,兼容主流大模型,支持一句话生成流程图、设计表单、聊天式业务操作,解决 Java 项目 80% 重复工作,高效且不失灵活。
Kai Fusion Build AI Agents & Workflows, Visually
SmartFlow 基于SmartAdmin和Dromara Warm-Flow工作流开源项目,实现了流程设计、流程实例、流程审批、流程监控等功能。
YouTube Video Summarizer
Visual AI Agent Workflows — design, run & debug multi-agent systems with full transparency.
This repository contains learning materials for the Data Engineer program at Alterra Academy
Control Markets Frontend Repo
Final project for OTUS "Data Engineer" specialization. Prototype system of automatic tests for CV neural networks. Examples for MNIST classificator
Brewery Data Pipeline - This project implements a data pipeline to fetch, transform, and persist brewery data from the Open Brewery DB API into a data lake, following the medallion architecture (bronze, silver, gold layers). The pipeline is orchestrated using Apache Airflow and runs within Docker containers, coordinated via Docker Compose.
Building a simple pipeline and automating through airflow.
Automated machine learning pipeline with Airflow and model experiments using MLflow
Reddit data pipeline with Lakehouse architecture. Collects posts & comments, processes them (Bronze -> Silver -> Gold), performs sentiment/trend analysis, and visualizes with Superset. Built with Kafka, Spark, Iceberg, Trino, Airflow, MinIO.
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