A simple, framework-agnostic rate limiter for Gleam with pluggable storage. π«
- β¨ Simple and easy to use.
- π Rate limits based on any key (e.g. IP address, or user ID).
- πͺ£ Uses a Token Bucket algorithm to rate limit requests.
- β‘ ETS-backed by default for low-latency rate limiting; no separate back-end service needed.
- π Pluggable store backend for distributed rate limiting (e.g. Redis, Postgres).
A very minimalistic example of how to use glimit would be the following snippet:
import glimit
let limiter =
glimit.new()
|> glimit.per_second(2)
|> glimit.identifier(fn(x) { x })
|> glimit.on_limit_exceeded(fn(_req) { "Too many requests" })
let handler =
fn(_req) { "Hello, world!" }
|> glimit.apply(limiter)
handler("π") // "Hello, world!"
handler("π«") // "Hello, world!"
handler("π«") // "Hello, world!"
handler("π«") // "Too many requests"
handler("π") // "Hello, world!"
handler("π") // "Too many requests"You can also use glimit.build and glimit.hit for direct rate limit checks
without wrapping a function:
import glimit
let assert Ok(limiter) =
glimit.new()
|> glimit.per_second(10)
|> glimit.identifier(fn(x) { x })
|> glimit.on_limit_exceeded(fn(_) { "Stop!" })
|> glimit.build
case glimit.hit(limiter, "user_123") {
Ok(Nil) -> // allowed
Error(glimit.RateLimited) -> // rejected
Error(_) -> // store unavailable, fails open
}More practical examples can be found in the examples/ directory, such as Wisp or Mist servers, or a Redis backend.
By default, rate limit state is stored in ETS (Erlang Term Storage). For distributed rate limiting across multiple nodes, you can provide a custom Store that persists bucket state in an external service like Redis or Postgres.
All token bucket logic stays in glimit β adapters only implement lock_and_get / set_and_unlock / unlock operations. The glimit/bucket module provides to_pairs/from_pairs helpers for serialization.
See examples/redis/ for a complete Redis adapter using valkyrie.
Every hit goes through the pluggable Store interface (lock_and_get / set_and_unlock).
- Default (ETS): Direct table operations per hit. No actor overhead.
- Fail-open: If the store is unavailable or a lock cannot be acquired, the request is allowed through rather than rejected.
- Sweep: Full and idle buckets are automatically swept every 10 seconds.
Further documentation can be found at https://hexdocs.pm/glimit/glimit.html.
Contributions like PR's, bug reports or suggestions are more than welcome!