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The open-source Python framework for reproducible, maintainable, and modular data science code.
Metaplane is an end-to-end data observability platform that catches silent data quality issues before they impact your business.

Metaplane is a comprehensive data observability platform designed to proactively identify and address data quality issues before they negatively affect business operations. It offers capabilities such as monitoring data quality from source to BI, end-to-end column-level lineage, data insights, data CI/CD, and automated alerts. Metaplane helps data teams gain a full picture of their data stack, optimize data usage, and prevent data quality issues in pull requests by running automated regression and impact tests. It uses machine learning to account for seasonality and trends, providing a smarter approach to monitoring. Metaplane targets data teams of all sizes seeking to improve data quality and reduce data debt.
Metaplane is a comprehensive data observability platform designed to proactively identify and address data quality issues before they negatively affect business operations.
Explore all tools that specialize in monitor data quality from source to bi. This domain focus ensures Metaplane delivers optimized results for this specific requirement.
Explore all tools that specialize in get end-to-end column-level lineage. This domain focus ensures Metaplane delivers optimized results for this specific requirement.
Explore all tools that specialize in find and optimize how your data is being used. This domain focus ensures Metaplane delivers optimized results for this specific requirement.
Explore all tools that specialize in prevent data quality issues in prs. This domain focus ensures Metaplane delivers optimized results for this specific requirement.
Explore all tools that specialize in receive targeted notifications for data issues. This domain focus ensures Metaplane delivers optimized results for this specific requirement.
Explore all tools that specialize in detect data issues proactively. This domain focus ensures Metaplane delivers optimized results for this specific requirement.
Leverage Suggested Monitors to monitor only the tables that are important, reducing noise and improving focus on critical data assets. This feature uses machine learning to identify the most relevant tables and metrics for monitoring.
Integrate Metaplane with your CI/CD pipeline (GitHub and GitLab) to prevent data quality issues in pull requests. Run automated regression and impact tests to catch regressions before they reach production.
Receive targeted notifications for data incidents with the context needed to resolve issues quickly. Alerts include details on the affected data, potential impact, and recommended actions.
Get a complete view of your data stack, from sources to BI tools, with automatically generated column-level lineage. This helps understand data dependencies and trace the root cause of data issues.
Find and optimize how your data is being used, by whom, where, and how frequently. Reduce data debt and prioritize only the most useful queries to improve performance and reduce costs.
Sign up for a Metaplane account at https://www.metaplane.dev/
Connect your data warehouse or data sources to Metaplane.
Configure monitors to track specific data quality metrics.
Explore the lineage graph to understand data dependencies.
Set up automated alerts to receive notifications for data incidents.
Integrate Metaplane with your CI/CD pipeline for data quality checks.
Review data insights to optimize data usage and reduce data debt.
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"Metaplane helps data teams to instrument and gain confidence with their data by detecting issues proactively. Users also report that Metaplane offers fast setup and training."
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