A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
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Updated
Sep 17, 2024 - Python
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
High Availability (HA) DAG Utility
Lazily evaluated arrays in Python
Enforce Best Practices for all your Airflow DAGs. ⭐
This repository builds an automated ETL pipeline using Apache Airflow on AWS EC2 to extract, process, and store website reputation data from the WOT API in AWS S3. It leverages Airflow for scheduling and managing the workflow.
Hathor core is the official and reference client for operating a full node in Hathor Network.
Deploy simple DAGs with Airflow on Kubernetes
LLMCompiler is an Agent Architecture designed to speed up the execution of agent tasks by executing them quickly in the DAG. It also saves the cost of redundant token use by reducing the number of calls to the LLM.
A convenience layer on top of dagre-d3/dagre-d3-es, for use in ipydagred3
A new Airflow Provider for Fivetran, maintained by Astronomer and Fivetran
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
The WfCommons JSON Schema for workflow instances and generators
Substrate Python SDK
Add a description, image, and links to the dag topic page so that developers can more easily learn about it.
To associate your repository with the dag topic, visit your repo's landing page and select "manage topics."