piperider VS dbt-oracle

Compare piperider vs dbt-oracle and see what are their differences.

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piperider dbt-oracle
6 1
469 43
0.2% -
9.5 7.9
about 2 months ago 15 days ago
Python Python
Apache License 2.0 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.

piperider

Posts with mentions or reviews of piperider. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-06.

dbt-oracle

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

What are some alternatives?

When comparing piperider and dbt-oracle you can also consider the following projects:

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

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

great_expectations - Always know what to expect from your data.

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.

pointblank - Data quality assessment and metadata reporting for data frames and database tables

dbt-clickhouse - The Clickhouse plugin for dbt (data build tool)

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]

data-diff - Compare tables within or across databases

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

elementary - The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

dbt-duckdb - dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org)