f1-data-pipeline VS dbt-coves

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

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f1-data-pipeline dbt-coves
1 1
23 209
- 3.8%
6.8 9.2
10 months ago 4 days ago
Python Python
- Apache License 2.0
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.

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.

dbt-coves

Posts with mentions or reviews of dbt-coves. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.
  • Is there something wrong with me, I hate dbt, what am I missing ?
    2 projects | /r/dataengineering | 15 May 2023
    This just feels like you aren’t using the plentiful tools to make those “mind-numbingly slow” dev steps faster. For ex., using dbt-coves to generate the staging models with casting to types in a couple clicks. And pulling directly from Fivetran tables is just poor practice, with the additional steps needed to do it “right” being inconsequential at best.

What are some alternatives?

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

dbt2looker - Generate lookml for views from dbt models

sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.

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]

dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

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.

datavault4dbt - Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.

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

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