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GoFr vs Gin

Summary

Gin is a fast, minimal HTTP router with a familiar API and a mature middleware ecosystem — a great fit when you want a thin router and to compose the rest of your stack yourself. GoFr has a wider scope: alongside HTTP routing it bundles OpenTelemetry tracing, Prometheus metrics, structured logging, datasource clients, gRPC, GraphQL, WebSockets, Pub/Sub, migrations, cron, circuit breakers, and health checks. Two different trade-offs; both are open source.

What Gin is great at

  • Performance — minimal overhead on top of net/http, fast routing.
  • Familiar APIc.JSON, c.Bind, c.Param patterns are intuitive.
  • Mature middleware ecosystem — community packages for almost everything.
  • Stable, large community — battle-tested in production.

Where the projects differ

Gin is intentionally focused on routing. Anything beyond routing — observability, database access, message brokers, retries, circuit breakers, health checks — is something you compose by picking libraries you trust. That's a deliberate strength when you want full control. GoFr takes the opposite design choice: it bundles a common production layer behind one configuration surface so teams maintaining several services don't make those composition choices repeatedly. Neither is universally better — pick the one that matches how your team prefers to work.

Hello world side-by-side

Gin:

Go
package main

import "github.com/gin-gonic/gin"

func main() {
    r := gin.Default()
    r.GET("/hello", func(c *gin.Context) {
        c.JSON(200, gin.H{"message": "Hello, world"})
    })
    r.Run(":8000")
}

GoFr:

Go
package main

import "gofr.dev/pkg/gofr"

func main() {
    app := gofr.New()
    app.GET("/hello", func(c *gofr.Context) (any, error) {
        return "Hello, world", nil
    })
    app.Run()
}

Adding tracing, metrics, and a Postgres connection

Gin — pull in otelgin, otelhttp, prometheus/client_golang, pgx. Configure each. Wire them together. Make sure trace IDs propagate from request → DB query.

GoFr — set TRACE_EXPORTER, TRACER_URL, METRICS_PORT, and DB_HOST in .env. Call c.SQL to query. Traces, metrics, and structured logs are emitted automatically. (TRACER_HOST / TRACER_PORT are deprecated — the runtime logs a warning if you set them; use TRACER_URL instead.)

Service-to-service HTTP with circuit breaker

Go
// Register a downstream service once at startup:
app.AddHTTPService("payments", "https://payments.internal")

// Inside any handler, look it up via the request context:
func chargeHandler(ctx *gofr.Context) (any, error) {
    resp, err := ctx.GetHTTPService("payments").Get(ctx, "/charge", nil)
    // ...
}

Circuit breaker, retry, rate limit, connection pool, and auth are configurable through the service registration.

gRPC, Pub/Sub, cron, WebSockets

Go
app.RegisterService(serviceDesc, impl)      // gRPC
app.Subscribe("orders", orderHandler)       // Pub/Sub (Kafka, NATS, etc.)
app.AddCronJob("0 * * * *", "billing", run) // Cron
app.WebSocket("/stream", wsHandler)         // WebSocket

When GoFr might be a good fit

  • You'd prefer tracing, metrics, and structured logs available by default rather than composed.
  • You'd like gRPC, GraphQL, Pub/Sub, or WebSockets alongside HTTP under one framework.
  • You maintain several similar services and would rather standardize the production wiring once.
  • You're deploying to Kubernetes and want health checks, graceful shutdown, and consistent configuration as defaults.

Migration

Already on Gin? See the Migrate from Gin guide for concrete code translations.

Frequently asked