Dbprint

Dbprint creates a portable, git-committed snapshot of database structure and column-level data distributions for offline use.

Dbprint generates portable snapshots of database structures and data distributions, storing them as plain text inside your repository. It measures table DDL, declared and inferred joins, and per-column statistics like null shares, value lists, ranges, and distributions. Supported engines include PostgreSQL, MySQL, Snowflake, BigQuery, Databricks, Redshift, ClickHouse, and DuckDB. AI coding agents or humans can read these snapshots offline without a database connection or credentials. It includes commands for initialization, profiling generation, diffing, CI gating, context emission, and running a read-only Model Context Protocol server.

Dbprint at a glance

Best for: Software engineer
Runs on: CLI, Python, API, self-hosted, open source
Pricing: Free
Released: September 2026
Category: AI coding tool
Website: github.com/jakubro/dbprint

Key features

Measures DDL, joins, and per-column statistics
Supports PostgreSQL, MySQL, Snowflake, and more
Allows AI agents to annotate table measurements
Provides offline access via an MCP server
Gates changes in CI using committed print checks
Infers semantic classifications and foreign keys
Masks sensitive data and database credentials

Use it for

Supplying database context to AI coding agents offline
Tracking database structure and data changes in git
Enforcing schema and statistic assertions in CI
Browsing database prints as an HTML documentation site

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