data-pipelines

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

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

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

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

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

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.

A system for agentic LLM-powered data processing and ETL

Maestro: Netflix’s Workflow Orchestrator

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

The Feldera Incremental Computation Engine

The best place to learn data engineering. Built and maintained by the data engineering community.

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

MLeap: Deploy ML Pipelines to Production

Concurrent Python made simple

First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.

A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.

visual data prep powered by python

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.