Autocannon is a fast HTTP/1.1 benchmarking tool written in Node.js, greatly inspired by wrk and wrk2. It supports HTTP pipelining and HTTPS.
About
Autocannon is a fast HTTP/1.1 benchmarking tool written in Node.js, greatly inspired by wrk and wrk2. It supports HTTP pipelining and HTTPS.
Best for
Quick HTTP or protocol micro-benchmarks from a single machine
Teams that prefer open-source licensing and self-hosting options
Groups comfortable scripting in JavaScript, TypeScript
Not the best fit when
Full multi-protocol enterprise journeys and rich business-flow reporting
Teams unwilling to operate generators, results storage, and scaling
Architecture and concurrency
Autocannon is typically driven as a CLI micro-benchmark with JavaScript, TypeScript. It favors single-host or simple distributed runs rather than enterprise controller grids.
Autocannon is best for developers who need fast HTTP or protocol micro-benchmarks from a terminal. It is open source, so teams can self-host and extend it. Vendor: Matteo Collina. Deployment model: self-hosted. Free; MIT License. Confirm details against the official site and a short proof-of-concept in your environment.
How does Autocannon differ from Vegeta?
Compared with Vegeta, scripting centers on JavaScript, TypeScript rather than Go. Autocannon lists protocols HTTP, HTTPS; Vegeta lists HTTP, HTTPS. Status is active versus active. Use the Test Rig to compare full specs side by side before a proof-of-concept. Confirm details against the official site and a short proof-of-concept in your environment.
What scripting language and concurrency model does Autocannon use?
Autocannon uses JavaScript, TypeScript for scripting or scenario definition. Runtime model: CLI-driven request generation with a lightweight concurrency model suited to single-host benchmarks. OS support: Windows, macOS, Linux. Protocols: HTTP, HTTPS. Match these to how your team already authors tests and which systems you must drive under load.
What is the cloud or enterprise path for Autocannon?
Autocannon is primarily self-hosted; teams typically run generators on their own machines, CI runners, or private cloud. Plan for generator capacity, network access to targets, and result storage yourself. As open source, commercial support or hosted siblings may exist separately. Check the official site. Pricing note: Free; MIT License.
What are known limitations of Autocannon?
Autocannon limitations to weigh: CLI micro-benchmarks excel at raw HTTP throughput but usually lack enterprise scenario orchestration, rich reporting, and multi-protocol suites; self-hosted tools require you to provision, scale, and observe load generators yourself. Status: active. Always validate against your target protocols and scale with a proof-of-concept.