An orchestration platform for the development, production, and observation of data assets.
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Updated
Jun 12, 2024 - Python
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
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
The ultimate open-source RAG framework
Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.
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.
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
Cloud native open-source end-to-end data / AI / ML platform
Move your data with ease.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
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.
Smart Automation Tool for building modern Data Lakes and Data 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.
Lean and mean distributed stream processing system written in rust and web assembly.
Best practices for data workflows, integrations with the Modern Data Stack (MDS), Infrastructure as Code (IaC), Cloud Provider Services
Low-code ETL for structured and unstructured data. Generates Python code you can deploy anywhere.
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