dbt-ml-preprocessing VS airbyte

Compare dbt-ml-preprocessing vs airbyte 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)

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. (by airbytehq)
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dbt-ml-preprocessing airbyte
2 139
175 14,054
0.0% 2.4%
3.7 10.0
10 months ago 4 days ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

airbyte

Posts with mentions or reviews of airbyte. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

What are some alternatives?

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

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

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

airflow-dbt - Apache Airflow integration for dbt

dagster - An orchestration platform for the development, production, and observation of data assets.

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

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

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.

meltano

jupysql - Better SQL in Jupyter. 📊

jitsu - Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

sqlglot - Python SQL Parser and Transpiler

spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs