data-pipelines

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

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

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

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

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

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

Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.

Build data pipelines, the easy way 🛠️

Preswald is a framework for building and deploying interactive data apps, internal tools, and dashboards with Python. With one command, you can launch, share, and deploy locally or in the cloud, turning Python scripts into powerful shareable apps.

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.

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.

A system for agentic LLM-powered data processing and ETL

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

MLeap: Deploy ML Pipelines to Production

The Feldera Incremental Computation Engine

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

Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

Concurrent Python made simple

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

Visual Data Transformation and Data Preparation. Low-Code Python-based ETL.