Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Jun 2, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
Bruin is a data pipeline tool that is designed to be easy-to-use. It allows building data pipelines using SQL and Python, and has built-in data quality checks.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The framework for fast development and deployment of RAG systems.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
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.
Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.
Lean and mean distributed stream processing system written in rust and web assembly.
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
Smart Automation Tool for building modern Data Lakes and Data Pipelines
Building data processing pipelines for documents processing with NLP using Apache NiFi and related services
Low-code ETL for structured and unstructured data. Generates Python code you can deploy anywhere.
Framework for standardizing, transforming, and applying quality checks to time series data.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
One framework to develop, deploy and operate data workflows with Python and SQL.
dbt package that is part of Elementary, 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.
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