dbt2looker VS f1-data-pipeline

Compare dbt2looker vs f1-data-pipeline and see what are their differences.

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dbt2looker f1-data-pipeline
1 1
170 23
2.4% -
0.0 6.8
3 months ago 10 months ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dbt2looker

Posts with mentions or reviews of dbt2looker. We have used some of these posts to build our list of alternatives and similar projects.

f1-data-pipeline

Posts with mentions or reviews of f1-data-pipeline. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dbt2looker and f1-data-pipeline you can also consider the following projects:

spectacles - A continuous integration tool for Looker and LookML.

astro - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. [Moved to: https://github.com/astronomer/astro-sdk]

steam-data-engineering - A data engineering project with Airflow, dbt, Terrafrom, GCP and much more!

magic-the-gathering - A complete pipeline to pull data from Scryfall's "Magic: The Gathering"-API, via Prefect orchestration and dbt transformation.

weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard

prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure

dbt-coves - CLI tool for dbt users to simplify creation of staging models (yml and sql) files

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