piperider-nightly 0.9.0.20220908

PiperRider CLI

PipeRider: Data Reliability Automated

PipeRider ensures data reliability through automating constant data testing and monitoring.

Key Features:

• Instant quality assessment in HTML report: sample report
• Report comparison: sample comparsion report
• Extensible custom assertions
• Works with existing dbt projects
• Automatic test recommendations

Read more about why we created PipeRider.

Getting started

Install PipeRider

pip install piperider

By default, PipeRider supports built-in SQLite connector, extra connectors are available:

connectors	install	supported since
snowflake	pip install 'piperider[snowflake]'
postgres	pip install 'piperider[postgres]'
bigquery	pip install 'piperider[bigquery]'	PipeRider v0.7.0
redshift	pip install 'piperider[redshift]'	PipeRider v0.7.0
duckdb	pip install 'piperider[duckdb]'	PipeRider v0.8.0
csv	pip install 'piperider[csv]'	PipeRider v0.8.0
parquet	pip install 'piperider[parquet]'	PipeRider v0.8.0

Use comma to install multiple connectors in one line:

pip install 'piperider[postgres,snowflake]'

You can follow the quick start guide to learn more about PipeRider.

Attach PipeRider to a dbt project

piperider init creates /.piperider under a dbt project root and generates necessary configurations.

Scan data quality from models

piperider run scans the models from data sources and creates assessment results in /.piperider/output

Generate reports

piperider generate-report generate a static HTML report.

Generate comparison view

You can use piperider compare-report to compare 2 reports.

Learn More

PipeRider Resources	Description
Documentation	PipeRider Main Doc Site
Sample_Project	Sample Project with with sqlite
dbt_Sample_Project	Sample Project with dbt
Roadmap	PipeRider Roadmap

Get involved

Contributions

We welcome contributions. See the Set up dev environment and the Contributing guildline to get started.