quicktype vs sqlc

quicktype infers types from structured data and generates models, serializers and validators in more than 25 languages. Inputs include sample JSON, API URLs, JSON Schema, TypeScript and GraphQL queries. It can infer nullability, optional fields, numeric types, dates, UUIDs, enums, unions, maps and nested type names, then generate code to read, write and validate data. The browser app lets users paste JSON and produce code; the project says it works offline and does not send sample data over the Internet. The CLI can process files, URLs, directories of samples or standard input, including in build pipelines, CI jobs and git hooks. A hosted MCP endpoint connects quicktype to Claude Code, Cursor, Codex or other MCP clients without an API key. The project is open source under Apache-2.0, and its web app and CLI are free. The CLI and Node.js packages require Node.js 20 or newer. Platforms listed include web, Linux, macOS, Windows and API. The project directs users to a Slack community for help and discussion. It describes generated types as a way for teams to build API clients, catch API changes and give IDEs and AI agents a typed model of data.

sqlc is a free command-line tool that turns SQL queries into type-safe application code. You write queries, run sqlc, and call the generated methods from application code through type-safe interfaces. Its documented database matrix covers MySQL, PostgreSQL, and SQLite. Official generators are available for Go, Kotlin, Python, and TypeScript; Go is stable, while Kotlin, Python, and TypeScript are marked beta for MySQL and PostgreSQL. Plugins allow additional languages, with community plugins listed for C#, F#, Java, PHP, Ruby, Zig, Python, and Rust. The sqlc vet command checks queries against configured rules, and sqlc verify checks whether schema changes break existing queries and generated code. Installation options include prebuilt Linux, macOS, and Windows downloads, package managers, Go, and Docker. sqlc Cloud can create short-lived hosted databases for analysis and linting, with managed databases described as read-only.