autocannon vs Vegeta
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Free and open source
Open sourceFree and open source
Open sourceWhat drives the bill
The metric that actually scales your invoice.
Free and open source. You pay in engineering time and CI minutes.
Free and open source. You pay in engineering time and CI minutes.
Free tier
Everything, self-hosted
Everything, self-hosted
Open source
MIT
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
OSS community · since 2016
Established
OSS community · since 2013
Strengths
- Zero configuration; useful output in seconds.
- Good percentile reporting for such a small tool.
- Scriptable from Node for micro-benchmarks in CI.
- Constant-rate model avoids the coordinated-omission problem that distorts VU-based tools.
- Single static binary, trivial to run anywhere.
- Composable output for scripting and pipelines.
Limitations
- Single endpoint only — no user journeys, no correlation, no think time.
- No distributed execution.
- HTTP/1.1 focused.
- No scenarios or session state — one target list, one rate.
- No GUI or built-in reporting beyond plots.
- Go library usage required for anything sophisticated.
Best for
Quick endpoint benchmarks and micro-optimisation work.
Backend engineers who want rigorous constant-rate measurements of an endpoint.
All of these integrate with: GitHub Actions.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.