dags topic
dag-factory
Dynamically generate Apache Airflow DAGs from YAML configuration files
astro-sdk
Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
CausalQueries
Bayesian inference from binary causal models
causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
astro-provider-databricks
Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows
airflowctl
A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects
dagma
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"
burr
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.