Use gqlgen for new Go projects because it is the industry standard, actively maintained, and generates type-safe code that integrates seamlessly with Go's tooling. Avoid graphql-go (specifically the original sashabaranov/go-graphql or unmaintained forks) as it lacks modern features, has slower performance, and suffers from inconsistent community support compared to gqlgen's robust ecosystem.
The primary advantage of gqlgen is its code generation strategy. It reads your GraphQL schema and Go struct definitions to generate resolvers and types, ensuring your API contract and implementation stay in sync. This reduces boilerplate and prevents runtime errors caused by type mismatches. In contrast, graphql-go often requires manual mapping and lacks the same level of strict type safety, making large-scale maintenance more error-prone.
Here is a practical example of how gqlgen handles schema-to-code generation. First, define your schema in schema.graphql:
type Query {
user(id: ID!): User
}
type User {
id: ID!
name: String!
email: String!
}
Then, define the corresponding Go struct in models.go:
type User struct {
ID string `json:"id"`
Name string `json:"name"`
Email string `json:"email"`
}
Run the generation command to create the resolver interface and type bindings:
gqlgen generate
This produces a generated.go file with a UserResolver interface. You implement this interface in your resolvers.go file, and gqlgen ensures the return types match the schema exactly at compile time:
func (r *queryResolver) User(ctx context.Context, id string) (*User, error) {
// Your logic here
return &User{ID: id, Name: "Alice", Email: "alice@example.com"}, nil
}
If you choose graphql-go, you would manually construct the schema using reflection or explicit mappings, which is verbose and prone to drift between your Go structs and the GraphQL schema. For example, you'd need to manually define field resolvers and type mappings without the safety net of code generation.
While graphql-go might feel lighter for tiny prototypes, the lack of automatic code generation and the slower development velocity make it a poor choice for production systems. gqlgen's ecosystem includes excellent debugging tools, middleware support, and a large community, making it the clear winner for almost every scenario. Stick with gqlgen unless you have a very specific, legacy constraint requiring the older library.