Python Stream Processing
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Updated
Jul 27, 2024 - Python
Python Stream Processing
A Python implementation of Apache Kafka Streams
Benchmarks for data processing systems: Pathway, Spark, Flink, Kafka Streams
Stream processing using kafka-python to track people (user input images of target) in the wild over multiple video streams.
Explore Apache Kafka data pipelines in Kubernetes.
Streaming Synthetic Sales Data Generator: Streaming sales data generator for Apache Kafka, written in Python
A real-time event pipeline around Kafka Ecosystem for Chicago Transit Authority.
A end-to-end real-time stock market data pipeline with Python, AWS EC2, Apache Kafka, and Cassandra Data is processed on AWS EC2 with Apache Kafka and stored in a local Cassandra database.
Video processing (webcam) in real time using Kafka and Spark.
AI agent skills for stream processing and event streaming
Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake
An naive anomaly detection and data visualization tool for F1 on board telemetry data.
Deploy Kafka pipelines to Kubernetes
Realtime IoT data streaming from Smartphone sensors
Visualize and explore Apache Kafka topologies — topics, producers, consumers, connectors, schemas & ACLs — with an AI assistant that queries live broker metrics via Prometheus
Use the SSI API to process tick-by-tick stock price data in Vietnam.
A simple implementation of Kafka message streaming using Python
A scalable architecture for real-time log processing and visualization. Built with a Kafka-Spark ETL pipeline, DynamoDB for storing aggregate real-time metrics, and Python Dash for interactive dashboards. Designed for high-throughput log ingestion, real-time monitoring, and long-term storage.
Live sentiment analysis of tweets using Kafka
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