dbt-ml-preprocessing VS airflow-dbt

Compare dbt-ml-preprocessing vs airflow-dbt and see what are their differences.

dbt-ml-preprocessing

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros. (by omnata-labs)

airflow-dbt

Apache Airflow integration for dbt (by gocardless)
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dbt-ml-preprocessing airflow-dbt
2 1
175 379
0.0% 1.1%
3.7 0.0
10 months ago 10 months ago
Python Python
MIT License 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.

dbt-ml-preprocessing

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

airflow-dbt

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

What are some alternatives?

When comparing dbt-ml-preprocessing and airflow-dbt you can also consider the following projects:

CueObserve - Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

dbt-metabase - dbt + Metabase integration

dbt-snowflake-monitoring - A dbt package from SELECT to help you monitor Snowflake performance and costs

dbt-spotify-analytics - Containerized end-to-end analytics of Spotify data using Python, dbt, Postgres, and Metabase

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.

elyra - Elyra extends JupyterLab with an AI centric approach.

jupysql - Better SQL in Jupyter. 📊

dbt-fal - do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

sqlglot - Python SQL Parser and Transpiler

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.