Features - Baselinr
Description: Baselinr - Powerful features for data profiling and drift detection

# Powerful Features for Data Quality

Everything you need to profile, monitor, and detect drift in your SQL databases. From automated profiling to advanced statistical tests, Baselinr has you covered.

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## Core Features

Built with modern development practices and designed for scalability, reliability, and developer experience.

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### Automated Profiling

Profile tables with column-level metrics including count, null %, distinct values, mean, stddev, histograms, and more. Automatically compute comprehensive statistics for your datasets.

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### Drift Detection

Compare profiling runs to detect schema and statistical drift with configurable strategies. Intelligent baseline selection automatically chooses the optimal comparison method.

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### Advanced Statistical Tests

Kolmogorov-Smirnov (KS) test, Population Stability Index (PSI), Chi-square, Entropy, and more for rigorous drift detection. Type-specific thresholds reduce false positives.

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### Anomaly Detection

Automatically detect outliers and seasonal anomalies using learned expectations with multiple detection methods (IQR, MAD, EWMA, trend/seasonality, regime shift).

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### Multi-Database Support

Works seamlessly with PostgreSQL, Snowflake, SQLite, MySQL, BigQuery, and Redshift. Unified API across all supported databases.

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### Web Dashboard

Lightweight local web dashboard (FastAPI + Next.js) for visualizing profiling runs and drift detection. Get insights at a glance.

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### CLI & API

Comprehensive command-line interface and powerful querying API for profiling runs, drift events, and table history. Perfect for automation and integration.

## Built for Production

Every feature is designed to meet the demands of production workloads and enterprise requirements.

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### Expectation Learning

Automatically learns expected metric ranges from historical profiling data, including control limits, distributions, and categorical frequencies for proactive anomaly detection.

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### Event & Alert Hooks

Pluggable event system for real-time alerts and notifications on drift, schema changes, anomalies, and profiling lifecycle events. Integrate with Slack, email, or custom systems.

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### Partition-Aware Profiling

Intelligent partition handling with strategies for latest, recent_n, or sample partitions. Optimize profiling for large partitioned datasets.

## Use Cases

See how teams are using Baselinr to solve real-world data quality challenges.

### Data Quality Monitoring

Track data quality metrics over time and automatically detect when data quality degrades. Set up alerts for critical drift events.

Monitoring Quality Alerts

### Schema Change Detection

Automatically detect schema changes in your databases. Get notified when columns are added, removed, or modified.

Schema Changes Tracking

### Statistical Drift Detection

Identify statistical anomalies in your data using advanced tests. Detect distribution shifts, value range changes, and frequency variations.

Statistics Drift Analysis

## Ready to Get Started?

Join developers building better data quality monitoring with Baselinr.

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