{"repo":"DhanushN2005/Weather-api-data-analysis-using-kakfa","free":true,"listed":false,"github":"https://github.com/DhanushN2005/Weather-api-data-analysis-using-kakfa","clone":"git clone https://github.com/DhanushN2005/Weather-api-data-analysis-using-kakfa.git","description":"A real-time weather data streaming and analysis pipeline built with Python and Apache Kafka that fetches weather information from an online API, streams it to Kafka topics, and processes it for analytics or storage.","language":"Python","stars":14,"topics":["api-call","kafka","postgresql","weather-forecast"],"license":null,"category":"data-pipelines","readme_excerpt":"Weather API Data Analysis Using Kafka A real-time weather data streaming and analysis pipeline built with Python and Apache Kafka that fetches weather information from an online API, streams it to Kafka topics, and processes it for analytics or storage. 🧠 Project Overview This project demonstrates how to build a real-time data pipeline that: - Collects weather data from a weather API (like OpenWeatherMap) - Streams incoming data using Apache Kafka messaging - Processes the streamed data using Kafka consumers - Enables further analysis or storage of weather insights The architecture is inspired by common real-time weather data pipelines where sensors/APIs stream data, Kafka acts as a message broker, and consumers process the data downstream. :contentReference[oaicite:0]{index=0} 📁 Repository Contents - weather-producer.py — Kafka producer that fetches and publishes weather data - weather-consumer.py — Kafka consumer that reads and processes weather data - app.py — Entry point script (e.g., to start producer/consumer logic) - ML model.ipynb — Notebook for any machine learning or analysis on the streamed data - docker-compose.yaml / Dockerfile — Docker setup for running Kafka and services - requirements.txt — Python dependencies 📦 Dependencies Install Python packages: bash pip install -r requirements.txt Key libraries typically include: confluent kafka (Kafka client for Python) requests (for API calls) pandas (for data processing) Also make sure Apache Kafka (and Zookeeper if","default_branch":null,"files":null,"tree":[],"storefront":"/r/DhanushN2005","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DhanushN2005/Weather-api-data-analysis-using-kakfa/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}