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PipeRider: Data Reliability Automated

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PipeRider

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

Key Features:

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

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.

piperider_init

Scan data quality from models

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

piperider_run

Generate reports

piperider generate-report generate a static HTML report.

piperider_report

Generate comparison view

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

piperider_compare

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.

Metadata

Release files for piperider-nightly 0.8.0.20220904

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for piperider-nightly 0.8.0.20220904
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piperider_nightly-0.8.0.20220904-py3-none-any.whl Python 3 none any Details

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