dbt-ml-preprocessing VS dbt-coves

Compare dbt-ml-preprocessing vs dbt-coves 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)
scikit-learn dbt Snowflake Bigquery Redshift
Source Code
omnata-labs.github.io
Suggest alternative
Edit details

dbt-coves

CLI tool for dbt users to simplify creation of staging models (yml and sql) files (by datacoves)
Analytics Bigquery datacoves dbt elt ETL Jinja Python Redshift Snowflake SQL
Source Code
pypi.org
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
dbt-ml-preprocessing dbt-coves
2 1
175 208
0.0% 3.4%
3.7 9.2
10 months ago 2 days ago
Python Python
MIT License 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.

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.

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 dbt-ml-preprocessing and dbt-coves you can also consider the following projects:

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

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

airflow-dbt - Apache Airflow integration for dbt

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

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

f1-data-pipeline - F1 Data Pipeline

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.

jupysql - Better SQL in Jupyter. 📊

sqlglot - Python SQL Parser and Transpiler

airbyte - 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-ml-preprocessing vs CueObserve dbt-coves vs sqlmesh dbt-ml-preprocessing vs airflow-dbt dbt-coves vs magic-the-gathering dbt-ml-preprocessing vs dbt-snowflake-monitoring dbt-coves vs f1-data-pipeline dbt-ml-preprocessing vs datavault4dbt dbt-coves vs datavault4dbt dbt-ml-preprocessing vs jupysql dbt-ml-preprocessing vs sqlglot dbt-ml-preprocessing vs airbyte