Python Web Stream Processing
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About this role
JavaScript, Python, Django, Software Architecture, Docker, Web Development, Flask, FastAPI · I’m building a Python-powered web application focused on data processing—specifically stream data processing—and I need your help to get the first working version online.
What I need • A server-side component in Python that accepts a live data stream, performs on-the-fly transformations (filtering, aggregation, enrichment, etc.), and publishes the processed results immediately. I’m comfortable with FastAPI, Flask, or Django Channels as long as the final code is clean and documented. • A lightweight browser client that connects over WebSocket (or comparable real-time transport), receives the processed events, and displays them—raw JSON is fine for now, but a minimal chart or table helps confirm everything is flowing. • Clear separation between ingestion, processing, and broadcasting layers so I can swap in production sources later (Kafka, MQTT, or another broker). • Containerisation with a Dockerfile plus a concise README so I can spin the whole stack up quickly. • Unit tests covering the main processing functions and a sample script that fires 100 events per second to demonstrate end-to-end latency below 200 ms.
Deliverables 1. Python server code with real-time processing