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Tags: Data pipelines and messaging
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1–24 of 77 · Most stars

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

  • batch-processing
  • kafka
  • pathway
  • python

Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.

[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.

  • data
  • data-cleaning
  • data-pipelines
  • data-processing

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

  • bigquery
  • copy-database
  • data-ingestion
  • data-integration