Skip to main content

PiperRider CLI

Project description

PipeRider

PipeRider: Data Reliability Automated

What is PipeRider?

PipeRider is an open-source toolkit for detecting data issues across pipelines that works with CI systems for continuous data quality assessment. PipeRider makes it easy for teams to have visibility about how data are being tested, and ensure errors are caught before they cause outages of downstream data applications like business intelligence dashboards or ML systems.

Why PipeRider?

Ensuring consistent quality of data used to be difficult. Missing values, schema changes, data drift (to name just a few), could be introduced to your data at any time. Without effective data quality tools these errors will affect downstream operations and result in countless lost hours to debugging and missed revenue opportunities from unexpected downtime. PipeRider allows you to define the shape of your data once, and then use the data checking functionality to alert you to changes in your data quality.

ci-tests release pipy python downloads license InfuseAI Discord Invite

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

Key Features

Instant quality assessment in html report

Example of single run report

Report Comparison

Example of comparison report

Extensible custom assertions

Refer to custom assertions

Works with existing dbt projects

Automatic Test Recommendations (Coming Soon)

Getting started

Install PipeRider

$ pip install piperider

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

connectors install
snowflake pip install 'piperider[snowflake]'
postgres pip install 'piperider[postgres]'

Use comma to install multiple connectors in one line:

$ pip install 'piperider[postgres,snowflake]'

Attach piperider to a dbt project

piperider_init

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

Scan data quality from models

piperider_run

This command scans the models from datasource and creates assessment results in /.piperider/output

Generate reports

piperider_report

generate a static html report under current path.

Generate comparison view

piperider_compare

The generated report in html will be placed in the path shown in console

Get involved

Contributions

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

piperider-nightly-0.2.0.20220622a0.tar.gz (549.2 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file piperider-nightly-0.2.0.20220622a0.tar.gz.

File metadata

File hashes

Hashes for piperider-nightly-0.2.0.20220622a0.tar.gz
Algorithm Hash digest
SHA256 3c0884c9b105341e8c98ad6a77465168cd31253412b0a6071c7a3c8e496162ef
MD5 d552ca98642fb4f7d65be75e99fd2fc1
BLAKE2b-256 64dae051b846a5cc8dcde613d396dad80fb7168739371b4836c59b0c35f16056

See more details on using hashes here.

File details

Details for the file piperider_nightly-0.2.0.20220622a0-py3-none-any.whl.

File metadata

File hashes

Hashes for piperider_nightly-0.2.0.20220622a0-py3-none-any.whl
Algorithm Hash digest
SHA256 65cfeff5da12a80d2b9fdee9d5c2856949a2d5ac422966248b9266975560a95c
MD5 060a71844d7a6fc79f2c10f8113a23ad
BLAKE2b-256 24ede93c0e2b0f19fd9c0e28ee965392b03a95e8dc23c223680d6dc57d01285c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page