Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
47,133 repositories indexed
1–9 of 9 · Most stars
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Fancy stream processing made operationally mundane
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Python Streaming DataFrames for Kafka
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
This repo maintains DM (a data migration platform) and TiCDC (change data capture for TiDB)
High performance Kafka consumer for InfluxDB. Supports collectd message formats.