dbprint

关于

CLI that produces an offline snapshot of a database (DDL, column- and relation-level statistics, values with frequencies), combines it with annotations written by you or an agent, and exposes it as MCP and as a web UI. Works with PG, MySQL, Snowflake, ClickHouse, Databricks, BigQuery. How to try it: uvx dbprint context \ arboretum.seedbank.germination_trial \ --purpose query \ --project https://github.com/jakubro/dbprint/blob/main/docs/format/v1/examples/production/.dbprint.yaml Features: - Philosophy: snapshots are meant to sit next to your code and versioned so that you have a history of changes and agents can hit them when searching codebase. - Offline: no need to expose live credentials to agents. - CI: "dbprint check" can verify schema/data drift. - Annotations: complement statistics by documenting the meaning behind data. An agent can prepare them for you ("dbprint annotate"). - Redaction: values can be masked/excluded/hashed either explicitly with FQNs or automatically based on inferred sensitivity and value shape. - Format: Snapshots are YAML and markdown, so greppable and usable by other tools. Why I built this: SQL queries produced by agents were inaccurate, and the overall time to result was slow and costly because of finding the answers in codebase or in live database.

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   2026年10月30日 · 1 次收录