开源免费ETL工具==PYTHON实现

方便自己快速处理一些基于文件的聚合计算,比如CSV。

https://github.com/hebian1994/etl_react_flow

🛠️ ETL Flow Builder

A powerful, visual ETL (Extract-Transform-Load) tool built with React , React Flow , Material-UI , and a Python Flask backend. Design and manage complex data pipelines with a user-friendly interface and DAG-based execution.


📸 Preview

📸 Structure


🚀 Features

🔄 Flow Management

  • Create, edit, and delete ETL flows
  • Flow version history and versioning
  • Real-time configuration and validation

🧩 Node System

  • Modular nodes for various ETL operations:
    • File Input
    • Data Viewer
    • Filter
    • Left Join
  • Custom node configuration panels
  • Node connection validation and schema enforcement

⚙️ Data Processing

  • DAG-based flow execution
  • Schema propagation and management
  • Preview intermediate data at any node
  • Configuration validation before execution

🧱 System Architecture

🖥️ Frontend

  • Framework: React + TypeScript
  • Visualization: React Flow
  • UI Library: Material-UI (MUI)
  • Engine Library: Polars
  • Core Components:
    • FlowList: Dashboard for managing flows
    • Designer: Drag-and-drop interface for building flows
    • History: View and restore previous versions
    • Custom Node UI and Config Panels

🔧 Backend

  • Framework: Python + Flask
  • Database: SQLite (via SQLAlchemy ORM)
  • API: RESTful endpoints for flow and node operations
  • Core Services:
    • FlowService: Handles flow CRUD and metadata
    • NodeService: Manages node lifecycle and configurations
    • ETLService: Executes DAGs and manages schema propagation

🧬 Data Models

复制代码
Flow    ──>  stores flow structure and metadata
Node    ──>  represents each ETL operation
Config  ──>  holds node-specific configuration
Schema  ──>  manages and validates data schema

🔒 State & Validation

  • Node configuration status tracking
  • Flow validation before execution
  • Schema-aware transformations and previews
  • UI-managed configuration state

🛠️ Tech Stack

Layer Technology
Frontend React, TypeScript, React Flow, MUI
Backend Polars, Python, Flask, SQLAlchemy
Database SQLite
Architecture REST API + DAG Executor

📦 Getting Started

🔧 Prerequisites

  • Node.js (v16+)
  • Python (v3.8+)
  • pipenv or virtualenv

🖥️ Frontend Setup

复制代码
cd frontend
npm install
npm run dev

🐍 Backend Setup

复制代码
cd backend
pipenv install
pipenv run flask run
相关推荐
程序猿老罗1 小时前
使用Python轻松实现Word到PDF的批量转换
python·pdf·word
徐小夕@趣谈前端2 小时前
如何实现多人协同文档编辑器
javascript·vue.js·设计模式·前端框架·开源·编辑器·github
胡耀超3 小时前
PaddleLabel百度飞桨Al Studio图像标注平台安装和使用指南(包冲突 using the ‘flask‘ extra、眼底医疗分割数据集演示)
人工智能·百度·开源·paddlepaddle·图像识别·图像标注·paddlelabel
时光追逐者3 小时前
一个基于 .NET 开源、简易、轻量级的进销存管理系统
开源·c#·.net·.net core·经销存管理系统
jie*3 小时前
小杰机器学习高级(five)——分类算法的评估标准
人工智能·python·深度学习·神经网络·机器学习·分类·回归
SuperHeroWu74 小时前
【鸿蒙开源技术共建】用@luvi/lv-markdown-in在HarmonyOS上打造高性能Markdown编辑体验
华为·开源·harmonyos
ajassi20004 小时前
开源 C# 快速开发(五)自定义控件--仪表盘
开发语言·开源·c#
高峰君主4 小时前
构建智能投资视野:用Python打造个性化股票分析系统
开发语言·python·股票
Python极客之家5 小时前
基于机器学习的智能贫血分析预测系统
人工智能·python·机器学习·数据挖掘·毕业设计·数据可视化分析