Adds an alternative HTTPDoer backed by valyala/fasthttp for high-throughput
bots. Cuts per-call allocs from 102 to 56 in the cross-library bench
(within 8 of telego, which uses fasthttp by default), and per-call bytes
from 11.1 KiB to 6.6 KiB.
bot := client.New(token,
client.WithHTTPClient(client.NewFastHTTPDoer()),
)
Implementation notes:
- Wraps *fasthttp.Client behind the existing HTTPDoer (Do *http.Request)
interface, so RetryDoer, custom transports, observability middleware,
and the 1428 generated tests all keep working as-is.
- Translates *http.Request -> fasthttp.Request once per call and
returns a *http.Response whose Body releases the pooled fasthttp
response on Close (net/http contract).
- Recognises the bufferReadCloser / readerReadCloser shapes produced
by buildRequest and passes their underlying bytes straight to
SetBodyRaw -- no io.ReadAll, no copy.
- Honours ctx.Deadline via DoDeadline, falls back to WithFastHTTPReadTimeout
when no deadline is set. fasthttp.ErrTimeout maps to
context.DeadlineExceeded for errors.Is compatibility.
Default stays net/http: fasthttp is HTTP/1.1 only, doesn't compose with
the http.RoundTripper middleware ecosystem, and most users don't have
the throughput to notice. Bots making thousands of API calls/sec should
opt in.
Multipart/file-upload path remains on net/http per the agreed scope --
the perf bottleneck was JSON-method round-trip, not file uploads.
Time numbers in the report deferred until a quiet-system bench run;
allocs/bytes numbers (which are deterministic per code path) are
already updated.
8.1 KiB
Benchmarks vs top 5 Go Telegram libraries
Date: 2026-05-10
Environment: Apple M4 Max · darwin/arm64 · go1.26.2
Methodology: go test -count=10 -bench=. -benchmem, summarised with benchstat (golang.org/x/perf)
Source: test/benchmarks/ · raw output: results/raw.txt · benchstat: results/benchstat.txt
Libraries
| Lib | Module |
|---|---|
| ours | github.com/lukaszraczylo/go-telegram (this repo) |
| gotba | github.com/go-telegram-bot-api/telegram-bot-api/v5 |
| telebot | gopkg.in/telebot.v3 (tucnak) |
| gobot | github.com/go-telegram/bot |
| telego | github.com/mymmrac/telego |
| echotron | github.com/NicoNex/echotron/v3 |
TL;DR
- Webhook decode (small Update): ours is 12–20% faster than every competitor and ties telego for the lowest alloc count (11).
- Large Update unmarshal (entities + reply markup + photo array): ours is 17–34% faster with the lowest ns/op of all six. telego edges us on alloc count (31 vs 34) at the cost of ~17% more time.
- API call round-trip (mock HTTP server): telego wins on allocs (35.8 µs / 48 allocs) because it uses fasthttp by default. We default to
net/http(102 allocs / 39.8 µs); with the opt-inclient.NewFastHTTPDoerwe drop to 56 allocs / 6.6 KiB — within 8 of telego while keeping*http.Requestsemantics (RetryDoer, middleware, generated tests). - Dispatcher routing (20 handlers, last matches): ours is 2.5–2.8× faster than telebot and gobot (98 ns vs 271 / 246 ns).
How to read these numbers
- One machine, single workload, fixtures defined in
shared/fixtures.go. Re-run on your hardware before drawing conclusions. - Codecs differ across libs (we use
goccy/go-json; most competitors use stdlibencoding/json). Codec choice is part of the library's value prop, so we benchmark each library as it ships, not in some artificial common-codec mode. - "Equivalent code path" was chosen via each library's idiomatic public API for the same logical operation. The exact code is in the bench files alongside each
BenchmarkXxx_<lib>function — read them.
1. Webhook decode — small Update (text message)
Decode shared.SmallUpdateJSON into the library's typed Update struct.
| Lib | sec/op | B/op | allocs/op |
|---|---|---|---|
| ours | 1.832 µs ±4% | 2.180 KiB | 11 |
| gotba | 2.082 µs ±0% | 1.461 KiB | 17 |
| telebot | 2.194 µs ±1% | 1.773 KiB | 17 |
| gobot | 2.082 µs ±1% | 1.789 KiB | 16 |
| telego | 2.143 µs ±2% | 3.058 KiB | 11 |
| echotron | 2.039 µs ±1% | 1.680 KiB | 16 |
Notes. We use slightly more bytes because typed unions and the typed []UpdateType allocate richer Go values. We win on time and tie telego on alloc count.
2. Large Update unmarshal — entities + reply markup + photo array
Decode shared.LargeUpdateJSON (text + 3 entities + 2x3 inline keyboard + 3-size photo array). Stresses each library's union/discriminator decoding.
| Lib | sec/op | B/op | allocs/op |
|---|---|---|---|
| ours | 6.726 µs ±1% | 5.875 KiB | 34 |
| gotba | 8.066 µs ±1% | 3.438 KiB | 56 |
| telebot | 10.190 µs ±1% | 5.594 KiB | 60 |
| gobot | 8.231 µs ±1% | 4.703 KiB | 50 |
| telego | 7.849 µs ±2% | 6.600 KiB | 31 |
| echotron | 8.123 µs ±1% | 4.219 KiB | 56 |
Notes. Despite the typed-union model giving us richer Go values per decode, we still produce them faster than every competitor. telego edges us by 3 allocs but pays 17% more time.
3. API call round-trip — sendMessage against a mock HTTP server
Build params → POST to local httptest.Server returning {"ok":true,"result":Message} → decode response.
| Lib | sec/op | B/op | allocs/op |
|---|---|---|---|
ours (default net/http) |
39.83 µs ±4% | 11.09 KiB | 102 |
ours (opt-in fasthttp) |
time TBD on quiet box | 6.62 KiB | 56 |
| gotba | 42.03 µs ±4% | 10.97 KiB | 125 |
| telebot | 43.41 µs ±1% | 13.15 KiB | 139 |
| gobot | 61.19 µs ±1% | 13.50 KiB | 176 |
| telego (uses fasthttp) | 35.84 µs ±1% | 6.547 KiB | 48 |
| echotron | skipped — see below | — | — |
Notes.
- The headline alloc gap to telego turned out to be transport choice: telego defaults to
fasthttp, which pools requests/responses and skips most ofnet/http's bookkeeping. Most of the other libs (and us, by default) usenet/http. - We ship an opt-in fasthttp doer (
client.NewFastHTTPDoer). Plug it viaclient.WithHTTPClient(client.NewFastHTTPDoer())and per-call allocs drop from 102 to 56 — within 8 of telego despite still going through our*http.Request-basedHTTPDoerinterface (kept that way soRetryDoer, custom transports, observability middleware, and the 1428 generated tests all keep working). - The default stays
net/httpbecause fasthttp is HTTP/1.1-only, can't be composed with theRoundTrippermiddleware ecosystem, and most users don't have the throughput to notice. Bots making thousands of API calls/sec should opt in. - Our
net/httprequest path is already minimised: manually-constructed*http.Requestwith a pre-parsed base URL (cached on*Bot), and request bodies stream-encoded into a pooled*bytes.Buffervia the optionalBodyEncodercodec extension. Those skip theurl.Parse+*http.Requestbookkeeping thathttp.NewRequestWithContextruns on every call. - gobot's higher cost comes from per-call goroutine + channel plumbing in its dispatcher path even when called directly.
- echotron skip: echotron ships built-in dual-level rate limiting (30 req/s global, 20 req/min per chat) on its unexported
lclientfield. The setters that disable it (SetGlobalRequestLimit,SetChatRequestLimit) are methods on the unexported type with no public accessor through theAPIvalue, so the limiter cannot be bypassed without monkey-patching. A naive run produces ~3 s/op driven entirely by the per-chat token bucket — measuring rate limiting, not the library. We skip rather than publish a misleading number. The rate limiter is a feature of echotron and worth knowing about; it just makes a microbench unfair.
4. Dispatcher routing — 20 handlers, last one matches
Register 20 command handlers (/cmd0 … /cmd19); feed an update matching /cmd19 so the bench measures worst-case filter chain traversal.
| Lib | sec/op | B/op | allocs/op |
|---|---|---|---|
| ours | 98.46 ns ±2% | 128 B | 3 |
| telebot | 270.9 ns ±2% | 678 B | 5 |
| gobot | 246.1 ns ±1% | 48 B | 1 |
Notes. We dispatch ~2.5× faster than telebot and gobot. gobot's single allocation is impressive but its routing decision is slower. telebot's higher cost reflects its richer per-update Context construction.
Coverage caveats.
- gotba ships no built-in dispatcher; users route via a manual
switchonUpdatefields. Benchmarking that against framework-based dispatchers would be apples-to-oranges, so it's omitted. - telego routes via a buffered channel + goroutine pool inside
telegohandler.BotHandler. There is no public sync entry point, so the bench would conflate channel + goroutine overhead with routing cost. - echotron uses a chat-ID-keyed
Dispatcherthat fans out to per-chatBotinstances — a different paradigm (stateful per-chat bot loop), not directly comparable to "match this update against N handlers".
How to reproduce
cd test/benchmarks
go test -count=10 -bench=. -benchmem | tee results/raw.txt
benchstat results/raw.txt > results/benchstat.txt
Install benchstat if missing: go install golang.org/x/perf/cmd/benchstat@latest.
Bench code
All bench source lives under test/benchmarks/ as a separate Go module so competitor dependencies stay out of the root go.mod. The fixtures (the JSON each library decodes, the mock HTTP server) are in shared/fixtures.go — every library decodes the same bytes.