【AI低代码平台】“低代码+零代码”双模驱动AI智能平台 AI low-code platform empowers enterprises to quickly develop low-code solutions and build AI applications. 助力企业快速实现低代码开发和构建AI应用！ AI应用平台涵盖：AI应用、AI模型、AI聊天助手、知识库、AI流程编排、MCP和插件，聊天式业务操作等。 强大代码生成器：实现前后端一键生成，无需手写代码! 显著提升效率节省成本，又不失灵活~

【AI 零代码应用平台】An AI application platform combined with a no-code product, designed to help developers quickly build and deploy AI applications and no-code solutions. 一个AI应用平台与零代码产品结合体，旨在帮助开发者快速构建和部署AI 应用和零代码应用搭建！功能涵盖：AI应用平台、AI零代码应用搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表

Kai Fusion Build AI Agents & Workflows, Visually

Github热点AI自动分析

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。

A complete multi-tenant SaaS system for building and executing automated workflows with AI integration, similar to Zapier, Make, Kissflow, and Pipefy.

YouTube Video Summarizer

Visual AI Agent Workflows — design, run & debug multi-agent systems with full transparency.

Receive an alert on Slack when one or more Airflow Task misses their SLA

This repository contains learning materials for the Data Engineer program at Alterra Academy

Control Markets Frontend Repo

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.

Final project for OTUS "Data Engineer" specialization. Prototype system of automatic tests for CV neural networks. Examples for MNIST classificator

ATSBooster enhances resumes by analyzing job descriptions and providing AI-driven suggestions to improve ATS compatibility and increase hiring chances. 🚀

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.

Customize Ghostty and Zsh appearances quickly with Boo, adjusting themes and transparency without editing config files manually.