Python Stream Processing
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Updated
Nov 23, 2023 - Python
Python Stream Processing
🌊 Online machine learning in Python
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
A Python stream processing engine modeled after Yahoo! Pipes
Python Stream Processing
100% Python stream processing with Streaming DataFrames
Play any radios around the globe right from the terminal ⚡
Distributed event processing for Python based on Redis Streams
An open source, cloud-native streaming data integration and analytics product optimized for agile digital businesses
A stream processing runtime that allows connecting any streaming data source to any destination and act on it
Toolkit for graph-relational data across space and time
Elkeid HUB is a rule/event processing engine maintained by the Elkeid Team that supports streaming/offline (not yet supported by the community edition) data processing. The original intention is to solve complex data/event processing and external system linkage requirements through standardized rules.
🚨 Simple, self-contained fraud detection system built with Apache Kafka and Python
Streaming Ethereum and Bitcoin blockchain data to Google Pub/Sub or Postgres in Kubernetes
Some class materials for a data processing course using PySpark
Stream processing using kafka-python to track people (user input images of target) in the wild over multiple video streams.
Project for real-time anomaly detection using Kafka and python
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