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etl-framework
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Logstash - transport and process your logs, events, or other data
The developer first cloud governance platform
Flow-based programming for JavaScript
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
This repository is a getting started guide to Singer.
Making data lake work for time series
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time).
A simplified, lightweight ETL Framework based on Apache Spark
Extract, Transform, Load: Any SQL Database in 4 lines of Code.
Knowledge Graph Toolkit
A tool for building feature stores.
A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
Bender - Serverless ETL Framework
Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
Configurable Extract, Transform, and Load