Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
May 12, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
MLeap: Deploy ML Pipelines to Production
Build data pipelines, the easy way 🛠️
Use this template repository to write projects and tenders data ingestion pipelines
Lean and mean distributed stream processing system written in rust and web assembly.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Dataform is a framework for managing SQL based data operations in BigQuery
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.
The framework for fast development and deployment of RAG systems.
The best place to learn data engineering. Built and maintained by the data engineering community.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Relational data pipelines for the science lab
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.
Classwork projects and home works done through Udacity data engineering nano degree
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