Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Construct Apache Airflow DAGs Declaratively via YAML configuration files

Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Bayesian inference from binary causal models

Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows

This provider contains operators, decorators and triggers to send a ray job from an airflow task

Stop creating bad DAGs! Use this tool to measure and compare the parse time of your DAGs, identify bottlenecks, and optimize your Airflow environment for better performance.

This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.

Airflow plugin to create/edit Dags via drag-and-drop on a convenient UI

Opinionated framework based on Airflow 2.0 for building pipelines to ingest data into a BigQuery data warehouse

Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data

dagrad is a Python package that provides an extensible, modular platform for developing and experimenting with differentiable (gradient-based) structure learning methods.

TheEye supervisor

🌱 Concurrently run a set of dependent, asynchronous tasks with type-safe dependencies

Automate your data pipelines using Apache Airflow with this ready-to-use DAG for data integration, ETL and workflow automation.

A production-grade MLOps pipeline for real-time USD volatility forecasting using EUR/USD forex data. This project demonstrates end-to-end ML lifecycle management with automated data ingestion, model training, deployment, and monitoring.

Udacity Data Engineering Nanodegree Capstone Project

Experimental implementation of Airflow DAGs in Elixir

Projeto final de conclusão do Bootcamp IGTI 2021/1

This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀

Code to draw DAG and SWIG figures for Mendelian randomization studies

Graphs backed by roaring bitmaps

A workflow to process graphs of activities in parallel.

👝 A web wallet for the Kaspa blockchain network

The dag-checks consist of checks that can help you in maintaining your Apache Airflow instance.

ETL e Transformações

Distributed Computations Platform