drizzle-docs-generator vs tbls
drizzle-docs-generator
github.comtbls
github.comSide by side
| Figure | drizzle-docs-generator | tbls |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Database Documentation Tools | 6.6 (#24) | 8.2 (#9) |
| License | The GitHub repository lists the project under the MIT license. | The software is released under the MIT License and permits use, copying, modification, publication, distribution and sublicensing subject to its notice requirement. |
| Output formats | It generates Markdown by default or DBML, with Markdown output supporting multiple files or a single file and an optional ER diagram. | tbls can output Markdown, DOT, PlantUML, Mermaid, SVG, PNG, JPG, JSON, YAML, Excel, and configuration files. |
| Purpose | The CLI generates Markdown documentation and DBML table definitions from Drizzle ORM schemas. | tbls is a CI-friendly tool written in Go for documenting databases. |
Plans
In their own words
drizzle-docs-generator
drizzle-docs-generator has no write-up on Specifiction yet; its figures are above.
tbls
tbls is a command-line tool for documenting databases and checking their schemas. It generates GitHub Flavored Markdown and can export schema information in formats including DOT, PlantUML, Mermaid, SVG, PNG, JPG, JSON, YAML, Excel, and configuration files. Its configurable lint rules can require column comments or set column-count limits. The `diff` command compares a database schema with generated documentation or another database, while `coverage` measures documentation for descriptions and comments. Documented data sources include PostgreSQL, MySQL, MariaDB, SQLite, BigQuery, Cloud Spanner, Amazon Redshift, SQL Server, Azure SQL, Microsoft Fabric Warehouse, DynamoDB, Snowflake, MongoDB, ClickHouse, Databricks, JSON, HTTP, and GitHub. Docker and a GitHub Action are documented for CI use, and external drivers can extend database support. It runs on Linux, macOS, and Windows, or in a self-hosted setup. The listed plan is free under the MIT License. SQL Server requires version 2017 or later and database compatibility level 110 or higher.