An orchestration platform for the development, production, and observation of data assets.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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.
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.
π§ Build, run, and manage data pipelines for integrating and transforming data.
π¦ event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
A system for agentic LLM-powered data processing and ETL
Maestro: Netflixβs 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 Feldera Incremental Computation Engine
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Python Streaming DataFrames for Kafka
MLeap: Deploy ML Pipelines to Production
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
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 Cloudβs full Data & AI Control Plane.