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go-gorm/gorm

📈 Trending★ 39,757GoAudience · developerComplexity · 3/5ActiveLicenseSetup · easy

TLDR

Go library that lets you interact with databases using Go code instead of writing SQL queries by hand. Maps Go structs to database tables and handles reads, writes, and relationships automatically.

Mindmap

mindmap
  root((GORM))
    What it does
      Maps structs to tables
      Generates SQL automatically
      Handles relationships
      Auto-migration support
    Key features
      Type-safe queries
      Lifecycle hooks
      Transactions
      Connection pooling
    Use cases
      Web applications
      Backend services
      Data persistence
    Tech stack
      Go
      PostgreSQL
      MySQL
      SQLite
    Why use it
      No raw SQL strings
      Compile-time checks
      Production-ready

Things people build with this

USE CASE 1

Build a web application backend that reads and writes user data to PostgreSQL without writing raw SQL.

USE CASE 2

Create a REST API service that automatically handles database migrations and relationships between tables.

USE CASE 3

Develop a Go microservice with type-safe database queries that catch errors at compile time instead of runtime.

USE CASE 4

Set up batch inserts and transactions for high-volume data operations with built-in connection pooling.

Tech stack

GoPostgreSQLMySQLSQLiteSQL ServerClickhouse

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

GORM is an Object-Relational Mapping library for the Go programming language. An ORM is a tool that lets you interact with a relational database such as PostgreSQL, MySQL, or SQLite using your programming language's own syntax and data structures, rather than writing raw SQL queries by hand. Instead of writing "SELECT * FROM users WHERE id = 1", you write Go code that reads more like "db.First(&user, 1)" and GORM handles the translation to SQL under the hood. GORM works by mapping Go structs to database tables. You define a struct with fields that correspond to columns, and GORM uses those definitions to read and write records, handle joins between related tables, and even create or modify the database schema automatically through a feature called auto-migration. It supports all the common database relationships you would encounter in an application, one user having many posts, a post belonging to a user, or many users sharing many tags. GORM also provides lifecycle hooks so you can run custom logic automatically before or after records are created, updated, or deleted. You would use GORM when building a Go web application or backend service that needs to persist data in a relational database. It is especially useful when you want type-safe database access with compile-time checks rather than error-prone raw SQL strings scattered through your code. Features like transactions, batch inserts, context-aware queries, and database connection pooling make it suitable for production applications, not just prototypes. The library is written entirely in Go and works with any major relational database through driver plugins. It has no external runtime dependencies beyond the database driver itself, which fits naturally into the Go philosophy of minimal, self-contained binaries.

Copy-paste prompts

Prompt 1
Show me how to define a Go struct and use GORM to create a table and insert records into PostgreSQL.
Prompt 2
How do I set up one-to-many relationships in GORM, like a user having multiple posts?
Prompt 3
Write a GORM query that finds all users with a specific email and returns them in a type-safe way.
Prompt 4
How do I use GORM hooks to automatically set a 'updated_at' timestamp before saving a record?
Prompt 5
Show me how to run a database transaction in GORM that rolls back if any query fails.
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