Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
May 26, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Substrate Python SDK
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.
HathorNetwork's fullnode core
Lazily evaluated arrays in Python
Enforce Best Practices for all your Airflow DAGs. ⭐
automated data pipeline using beautiful soup, apache airflow and dvc data versioning
A small library to orchestrate and visualize function calls using graph structure.
Graph Optimiser for Learning and Evolution of Models
The WfCommons JSON Schema for workflow instances and generators
A new Airflow Provider for Fivetran, maintained by Astronomer and Fivetran
📈 Finance Data Pipeline to extract all GL posting transactions from NetSuite to S3 and Postgres for analysis, compliance, and automation
A convenience layer on top of dagre-d3/dagre-d3-es, for use in ipydagred3
Rudderstack provider for Apache Airflow
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