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

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

A high-performance observability data pipeline.

Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.

An orchestration platform for the development, production, and observation of data assets.

Incremental engine for long horizon agents 🌟 Star if you like it!

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Fancy stream processing made operationally mundane

Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Privacy and Security focused Segment-alternative, in Golang and React

Build data pipelines, the easy way 🛠️

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

A system for agentic LLM-powered data processing and ETL

Maestro: Netflix’s Workflow Orchestrator

Scalable and efficient data transformation framework - backwards compatible with dbt.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.

The open document intelligence platform for builders and hackers - DMS for the agentic world

A fast and versatile ETL tool that can transfer data between RDBMS and NoSQL seamlessly

visual data prep powered by python

Ground truth layer for humans and AI agents working together. Version control for knowledge.

Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.

Transform, query, and download geospatial data on the web.

The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.

An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration

ETL / ELT / Reverse ETL Framework powered by DuckDB, designed to seamlessly integrate and process data from diverse sources. It leverages Markdown as a configuration medium, where YAML blocks define metadata for each data source, and embedded SQL blocks specify the extraction, transformation, and loading logic.

Lightning-fast validation in python.