# httperf/httperf

The httperf HTTP load generator

Repository: https://github.com/httperf/httperf
Canonical: https://ross.abutalabs.com/products/httperf
Language: C
License: GPL-2.0
License Family: copyleft
Last push: 2022-04-20T11:35:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4191, "days_push": 1596, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1017, forks 150 (observed 2026-08-28T04:03:14.637224+00:00)

## What it is
httperf is a command-line HTTP load generator for measuring web server performance. It supports HTTP/1.1 and SSL and is designed to generate and sustain heavy workloads, including server overload, for micro- and macro-level benchmarks.

## Use cases
- load test a web server
- benchmark http server performance
- generate http traffic to stress test a server
- measure server response under overload
- test https/tls server performance

## When to choose
- you need a robust, scriptable CLI load generator that can sustain overload conditions
- you need HTTP/1.1 and SSL support in a lightweight C tool
- you want to build custom micro- or macro-level benchmarks

## When to avoid
- you want a modern tool with scripting, distributed load, or rich reporting (e.g., k6, wrk, Locust)
- you need active development and frequent updates
- you prefer a GUI-based load testing tool

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: load-testing, benchmarking, http-client
- domain: performance, testing, web-development, developer-tools
- platform: cli
- tags: http-load-generator, web-server-benchmarking, http-1-1, ssl, c, linux, macos

## Member repositories
- httperf/httperf (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:14.637224+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:11:12.631950+00:00, confidence not recorded.
  - readme: https://github.com/httperf/httperf (fetched 2026-08-28T04:03:14.637224+00:00, sha 2d68a7f9b52c)
- Data as of 2026-08-30T08:39:29.467469+00:00.