Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Mar 14, 2025 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Efficient data transformation and modeling framework that is backwards compatible with dbt.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
dbt + Metabase integration
One framework to develop, deploy and operate data workflows with Python and SQL.
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
PyAirbyte brings the power of Airbyte to every Python developer.
Airbyte made simple (no UI, no database, no cluster)
Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).
Low-code Python library enabling access to APIs, tools, data sources in seconds.
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