iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
GoFr gives a Go service routing, structured logging, OpenTelemetry traces, Prometheus metrics, datasource clients, and graceful shutdown through a single framework. You can start with a small JSON endpoint, then add CRUD routes as your data model takes shape. Those features do not guarantee a fast API: performance depends on your workload and environment, so measure the service you deploy.
What you need to build a GoFr API
You need a working Go installation and a Go module. GoFr’s quick-start and repository README show different minimum Go versions, so check the current requirement in the documentation for the release you intend to use rather than relying on a version number copied from an older guide. The quick start describes GoFr as “an opinionated Go framework for production microservices.”
Start with the official GoFr quick start. The framework’s documented handler signature is func(ctx *gofr.Context) (any, error). Its route methods include GET, POST, PUT, PATCH, DELETE, and QUERY.
Create and run a minimal service
Initialize a module and add GoFr:
go mod init github.com/example
go get gofr.devCreate main.go with one route:
package main
import "gofr.dev/pkg/gofr"
func main() {
app := gofr.New()
app.GET("/greet", func(ctx *gofr.Context) (any, error) {
return "Hello World!", nil
})
app.Run()
}Resolve module dependencies and start the service:
go mod tidy
go run main.goThe quick-start example serves on port 8000 by default. A request to http://localhost:8000/greet returns a JSON-wrapped response: {"data":"Hello World!"}. GoFr’s gofr.New() initializes framework components according to configuration; app.Run() starts the HTTP server and middleware.
#1 Best Overall
Extend the route layout into CRUD
For a resource such as /books, use HTTP methods to express the operation: GET to read, POST to create, PUT or PATCH to update, and DELETE to remove. GoFr’s official examples include a basic CRUD REST API with Redis caching, database migrations, and auto-generated CRUD handlers. Use these as references when the minimal service needs persistence or a cache; neither a database nor Redis is required for the greeting example.
| Operation | Example route | Use |
|---|---|---|
| List | GET /books |
Return a collection. |
| Read one | GET /books/{id} |
Return one resource. |
| Create | POST /books |
Accept data for a new resource. |
| Replace or update | PUT /books/{id} |
Update a resource. |
| Partially update | PATCH /books/{id} |
Change selected fields. |
| Delete | DELETE /books/{id} |
Remove a resource. |
These paths illustrate a conventional REST shape, not a complete GoFr implementation. Consult the current GoFr CRUD and datasource examples for request parsing, persistence calls, and project-specific error handling rather than inferring those details from the greeting handler.
Use GoFr’s operational features deliberately
GoFr’s documentation and repository describe built-in routing, structured logging, OpenTelemetry traces, Prometheus metrics, datasource clients, and graceful shutdown. The repository also lists authentication and custom middleware, gRPC, circuit breakers, Pub/Sub, datasource health checks, migrations, cron jobs, Swagger rendering, abstracted file systems, and WebSockets. These capabilities can reduce the need to assemble separate infrastructure packages, but they also mean the framework brings conventions and abstractions you should evaluate against your service’s needs.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesFor examples beyond the starter route, browse the GoFr examples catalogue, which includes Redis-backed REST APIs, middleware, migrations, and custom metrics. A database-backed CRUD endpoint has a different bottleneck profile from an in-memory greeting endpoint; instrument and benchmark the path that matters to your application.
What GoFr’s published performance numbers show
GoFr’s v1.56.7 release notes report a version-to-version benchmark against v1.56.6. The project says it reduced allocations and CPU across the pkg/gofr request lifecycle. Its test setup was an Apple M4 with GOMAXPROCS=4, using plaintext (13 B), a small JSON object, and one path parameter. The release notes explicitly caution that results are machine-specific and should be treated as relative, not absolute.
| Test or profile | GoFr v1.56.6 | GoFr v1.56.7 | Project-reported change |
|---|---|---|---|
| Plaintext throughput | 89,835 requests/second | 133,304 requests/second | +48% |
| Small JSON throughput | 89,177 requests/second | 118,513 requests/second | +33% |
| One path parameter throughput | 87,224 requests/second | 121,159 requests/second | +39% |
| Profiled allocations per request | 132 KB | 60 KB | −54% |
| Profiled CPU per request | 33.5 microseconds | 21 microseconds | −37% |
| Plaintext p99 latency | 3.7 ms | 1.7 ms | −54% |
These figures come from the project’s own v1.56.7 release notes, not an independent test. They compare two GoFr releases under the stated setup; they do not establish how your API will perform in production or how GoFr compares with another framework.
Rank #4
Benchmark your own API before calling it fast
A useful result describes the conditions, not just a requests-per-second number. Record the following so another engineer can interpret or reproduce your measurement:
Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →- Hardware and runtime: machine or instance type, operating system, Go version, GoFr version, and
GOMAXPROCS. - Concurrency and limits: client concurrency, CPU and memory limits, and whether the service ran in a container.
- Request path: endpoint, payload size and shape, and whether the response is plaintext or JSON.
- Work performed: middleware enabled, authentication behavior, and whether requests touch a database, cache, or external service.
- Measurement method: tool and duration, warm-up approach, sample count, throughput, and latency percentiles such as p50, p95, and p99.
Test the same build and configuration you plan to deploy, and separate framework overhead from database or network time where possible. Do not compare results with another framework or the standard library unless hardware, runtime, payload, middleware, data access, concurrency, and measurement method are controlled. GoFr’s published benchmark is a release comparison, not a cross-framework contest.
Best Value
Choose GoFr for the requirements, not a speed promise
GoFr is a fit to evaluate when you want a framework with conventions and bundled service capabilities such as observability, datasource integrations, and graceful shutdown. A lighter router or Go’s standard library may better suit a service that needs fewer abstractions. Compare the operational features you would otherwise assemble, the conventions your team must learn, the integrations you need, and measured overhead under your own workload. The available release benchmark alone cannot settle that choice.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
