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

• UpdatedMar 15, 2025
• Python

Dynamically generate Apache Airflow DAGs from YAML configuration files

• UpdatedMar 17, 2025
• Python

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

• UpdatedMar 10, 2025
• Python

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

• UpdatedMar 10, 2025
• Python

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"

• UpdatedJan 14, 2024
• Python

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

• UpdatedJan 18, 2025
• R

Bayesian inference from binary causal models

• UpdatedFeb 22, 2025
• R

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

• UpdatedAug 8, 2024
• Python

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

• UpdatedFeb 25, 2025
• Python

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.

• UpdatedFeb 9, 2025
• Python

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

• UpdatedFeb 27, 2020

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.

• UpdatedMar 14, 2025
• Python

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

• UpdatedAug 27, 2023
• JavaScript

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

• UpdatedDec 28, 2022
• Python

TheEye supervisor

• UpdatedFeb 26, 2025
• JavaScript

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

• UpdatedFeb 17, 2025
• Python

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

• UpdatedApr 24, 2022
• TypeScript

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

• UpdatedSep 13, 2024

Udacity Data Engineering Nanodegree Capstone Project

• UpdatedMar 28, 2020
• Jupyter Notebook

Experimental implementation of Airflow DAGs in Elixir

• UpdatedOct 13, 2023
• Elixir