Choosing
Iris compared to Gin, Echo, Fiber and Chi
A comparison of scope, not of speed. What each framework decides for you, and what it leaves you to assemble.
Every framework on this page is good, actively maintained, and used in production by people who thought carefully about it. The difference between them is not quality. It is how much of a web service each one considers its job.
The one architectural difference
Four of these five are built on the standard library's net/http. Fiber is built on fasthttp, which is a separate HTTP implementation with a different memory model. That is a real trade-off rather than a flaw: fasthttp buys throughput and costs compatibility, because a fasthttp handler is not an http.Handler and the enormous body of middleware, test helpers and libraries written against the standard interface does not plug in. Iris is net/http, which is why an Iris application composes with httptest and with anything else in the ecosystem.
The toolchain difference
Go 1.27, released in August 2026, changed what a framework API is allowed to look like: methods can declare their own type parameters, and the fast JSON path moved into the standard library as encoding/json/v2. Iris required Go 1.27 the week it shipped, the first framework on this page to do so; the others declare 1.25 or lower in their own go.mod files as of this page's date. The version number is not the point. What it buys is:
- Request contracts checked at compile time.
input, ok := ctx.BindJSON[CreateUser]()names the payload type in the call. The wrong type is a compile error, not a request that decodes into the wrong struct at two in the morning. There is no pointer out-parameter, noanyto assert, and nothing for a handler to get subtly wrong: decode, validation and the 400 response are one call, and the same pattern covers path parameters (ctx.BindParam[int]("id")) and pagination. - Generic methods, which older toolchains simply cannot express. Before 1.27 a typed helper had to be a package function (
rest.ReadJSON[T](ctx)); now the type parameter lives on the method itself. That is why a page transforms withpage.Transform[Summary](fn), a session flash reads back typed, and the identity SDK verifies a token straight into your claims type. Other frameworks cannot adopt this shape without raising their minimum version and breaking their API; Iris v14 was unreleased, so it could be designed around it. - JSON speed that comes from the standard library, not from a bundled encoder. Every request decode and response encode runs on
encoding/json/v2, which the Go release notes describe as decoding significantly faster than the package it replaces. No third-party JSON dependency, no code generation step, no unsafe reimplementation to trust: the fast path is Go's own, it is audited with Go, and it gets faster when Go does. A type that implementsjson.MarshalerTostreams straight into the response encoder with no intermediate buffer. - A runtime built for this workload. Go 1.27's allocator makes small allocations cheaper, exactly the allocations a router makes per request. Iris already serves each request from pooled contexts and pooled buffers, so runtime improvements land on the hot path without a framework release.
What each one includes
| Iris | Gin | Echo | Fiber | Chi | |
|---|---|---|---|---|---|
| The request | |||||
| HTTP layer | net/http | net/http | net/http | fasthttp | net/http |
| Typed path parameters | 20 built in, plus custom macros | Strings, parsed by you | Strings, parsed by you | A few converters | Regex patterns |
| Request validation | Typed field errors, one renderer | Bundled validator, struct tags | An interface you implement | A hook, validator not bundled | Your own |
| Dependency injection | Built in, constructor based | No | No | No | No |
| MVC controllers | Built in, on generics | No | No | No | No |
| The response | |||||
| Error handling | 55 canonical codes, RFC 7807 | Middleware | A hook | A hook | Your own |
| Server-sent events | A package, with its own options | An SSEvent helper | Headers and flush by hand | A stream writer, no helper | Your own |
| AI response streaming | Built in, no vendor SDK | No | No | No | No |
| Compression | gzip, deflate, br, snappy, s2, zstd | Contrib, gzip only | gzip | gzip, deflate, brotli, zstd | gzip, deflate |
| The service | |||||
| Middleware shipped | 31 in-tree, 13 contrib | A handful, plus contrib | A good set, plus contrib | A good set in-tree | About 27, all small |
| Authentication | Basic auth, JWT SDK, identity server, OAuth2 | Third party | JWT middleware | JWT middleware | Third party |
| Sessions | Built in: cookie, Redis, Postgres | Contrib | Contrib, over gorilla | Built in | Third party |
| API versioning | Built in, with deprecation headers | No | No | No | No |
| Websockets, gRPC, i18n | Built in | Third party | Partly | Partly | Third party |
| Observability | Access log, metrics, pprof, request ID, server timing | Logger and recovery | Logger, request ID | Logger, pprof, request ID | Logger, request ID, pprof |
| In-process HTTP testing | Built in | httptest | httptest | Its own | httptest |
| The toolchain | |||||
| Minimum Go version | 1.27, required the week it shipped | 1.25 | 1.25 | 1.25 | 1.23 |
| Request binding | Typed: input, ok := ctx.BindJSON[CreateUser]() | Pointer out-parameter: c.ShouldBindJSON(&in) | Pointer out-parameter: c.Bind(&in) | Pointer out-parameter: c.Bind().Body(&in) | Your own |
| JSON engine | encoding/json/v2, standard library | encoding/json; third-party via build tags | encoding/json, pluggable | encoding/json, pluggable | Your own |
These projects change. This table describes them as of their 2026 releases. The Iris column is read from the framework source; every other column is read from that project's own documentation and middleware index, which is why a cell sometimes says what the docs say rather than what a maintainer might. If something here is out of date or unfair, it is a bug, and the repository takes issues.
When to pick something else
These cases are real, and each one is narrower than it first looks. So each entry says where the case runs out as well as where it holds.
- Chi, if you want a router and nothing else. It is small, idiomatic, and gets out of the way, and for three endpoints a framework is overhead. The case expires the first time a question comes back twice: what shape an error has on the wire, where validation lives, how a dependency reaches a handler. Past that point you are writing a framework rather than choosing one, and yours has no documentation.
- Gin or Echo, if your team already knows one of them. Familiarity across a team is a real force and both will do the job, for as long as the service stays request in, JSON out. It stops paying at the first streamed endpoint, the first error contract a client depends on, and the first constructor you would rather inject than reach for as a package-level global.
- Fiber, if you have measured that the HTTP layer is your bottleneck and you are willing to give up
net/httpcompatibility to fix it. Measure first, and note how specific the measurement has to be: not the database, not serialisation, the HTTP layer itself. The price is the first row of the table above. Afasthttphandler is not anhttp.Handler, sohttptestand everything else written against the standard interface stays outside. - The standard library alone, if you enjoy that and your service is small. Go 1.22 made
net/http's own router considerably better, and of the four this is the one that stays defensible longest.
When Iris fits
When the service is going to be big enough that the same decisions keep coming back: how errors reach the client, how dependencies get into handlers, where validation lives, what the middleware order is, and what happens to a response that is already streaming when something downstream fails. Iris has an answer for each of those in the box, and the builder makes the assembly order a compile-time question rather than a runtime one.
The gap is widest once an endpoint streams. A progress feed, an event log, a model's output: the other four hand you a flusher and wish you luck, and what breaks is rarely the flushing. It is the compression middleware three layers up that buffered the whole thing, or the proxy that closed an idle connection at sixty seconds. How streaming and AI responses work goes through what the framework does about both.
And performance
No numbers on this page, which is the page where a number would be most persuasive and least checkable. We do benchmark Iris against the frameworks above, in the open, at kataras/server-benchmarks: throughput, latency and memory, with the harness and the handlers in the repository so you can read the method rather than take the result. It is our suite, so read it that way, and run it on your own hardware before it decides anything.