Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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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.
[SIGMOD'27] 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.
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.
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
visual data prep powered by python