The Data Reliability Toolkit
for Data Pipelines

Profiling and Assertions tooling that helps you test, monitor,
and understand your data over time.

pip install -U piperider

Open-source Software License: Apache License 2.0

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We solved data quality always adhoc before. Piperider …is a light-weight approach to do some tests and improve your overall data reliability

Senior Data Engineer at THYNK

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We’ve been tinkering around with other tools before, but took too much time to write all the tests. PipeRider’s test recommendations is a great way to still provide some data quality checks without spending much time

Data Engineer of FinTech company

Our product is not perfect yet, but our customer love will make up for that.

OK, we get it - we’re not Monte Carlo just yet. But, as we’re an early stage, we’re dedicated to giving our first users the best experience they can have. Interested in our product? Leave your email and we’ll help you implement PipeRider.

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Profile. Test. Monitor.

Quickly grasp the state of your data reliability situation.

Rich Data Profiling
‍

Create data profiles with key metrics to assess what your datasources look like, on row/column levels (e.g. freshness, uniqueness, top-k, histograms, missing values, duplicate rows)

Auto-generated & Customizable Assertions

Use PipeRider’s built-in suite of data assertion rules, or create your own. Recommended assertions are optionally auto-generated for you to cover common assertion cases such as table column schema types, non-nulls, etc.

Data Reporting Generation (HTML)

Quickly visualize your data profile and assertion results with two kinds of reports: single-run and comparison reports.

Integrated Datasources

Designed with the modern data stack in mind, PipeRider fully supports a wide range of popular datasources, namely Snowflake, BigQuery, Redshift, Postgres, SQLite, DuckDB, CSV, Parquet.

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Latest Blog Posts

Data Reliability Automated with PipeRider

Test your data quality in minutes with PipeRider

Guide to Data Reliability

Add Data Profiling and Assertions to dbt with PipeRider

Data Observability Explained and How to Integrate It into Your Workflow

We're currently working on a new platform for you to resolve major pain points in managing data reliability.
Join the waitlist to try it as soon as it's out!