etl

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

Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

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.

Flink CDC is a streaming data integration tool

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

Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.

Build data pipelines, the easy way 🛠️

A system for agentic LLM-powered data processing and ETL

Maestro: Netflix’s Workflow Orchestrator

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.

🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications

Data processing & ETL framework for Ruby