Build a Real-Time Weather Data Analysis Platform with Flask & PyEcharts

Introduction

With the growing abundance of meteorological data and advances in technology, real‑time analysis and visualization have become essential tools for environmental research, weather forecasting, and decision support. To help users better understand and predict weather, we designed and implemented a Python‑based platform that integrates real‑time weather queries, analysis, and historical data retrieval.

Open Source Components

The platform leverages several open‑source technologies to ensure efficiency, stability, and maintainability:

Backend framework: Flask

Data visualization: PyEcharts

Frontend: HTML5 + JavaScript

Web scraping: Requests (with BeautifulSoup)

Database: MySQL

Development IDE: PyCharm

Flask provides lightweight APIs for serving weather data, while PyEcharts renders interactive charts such as line, bar, and pie graphs.

Core Features

Real‑time Data Acquisition : The system scrapes temperature, humidity, pressure, wind speed, and other metrics from public weather sites.

Weather Trend Analysis : Historical data are processed to forecast future trends, including temperature and precipitation changes.

Data Cleaning : Raw scraped data are cleaned to ensure accuracy and consistency.

Interactive Visualization : Users can explore charts via clicks and hover actions, enhancing the experience.

User Management : Flask handles registration, login, and authentication to protect user data.

Scheduled Crawling : The crawler runs at regular intervals to keep the dataset up‑to‑date.

Demo Screenshots

Administrator module – user management and permissions.

User module – login system.

Real‑time weather data view.

Weather and map integration.

Weather analysis charts.

Historical weather query page.

Conclusion

The platform successfully combines Flask, PyEcharts, and web‑scraping to deliver a comprehensive weather data analysis and visualization system. It provides real‑time queries, interactive charts, and historical data exploration, while the admin module ensures stable operation. Future enhancements include more accurate forecasting, alerting, mobile support, and multi‑city coverage.