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HTTP(S) Benchmark Tools / Toolkit for testing/debugging HTTP(S) and restAPI (RESTful)

Moved to git-repository:


Located in alphabetical order (not prefer)

  • ab – slow and single threaded, written in C

  • apib – most of the features of ApacheBench (ab), also designed as a more modern replacement, written in C

  • baloo – Expressive end-to-end HTTP API testing made easy, written in Go (golang)

  • bombardier – Fast crossplatform HTTP benchmarking tool, written in Go (golang)

  • curl-loader – performance loading of various application services and traffic generation, written in C

  • fasthttploader – benchmark (kinda ab) with autoadjustment and charts based on fasthttp library, write in Go (golang)

  • gatling – High performance load testing framework based on Scala, Akka and Netty, write in Scala

  • goad – Goad is an AWS Lambda powered, highly distributed, load testing tool, write in Go (golang)

  • gobench – HTTP/HTTPS load testing and benchmarking tool, write in Go (golang)

  • gohttpbenchab-like benchmark tool run on multi-core cpu, write in Go (golang)

  • hey – HTTP(S) load generator, ApacheBench (ab) replacement, formerly known as rakyll/boom, written in Go (golang)

  • htstress – multithreading high-load bechmarking services (>5K rps), written in C/Linux

  • httperf – difficult configuration, slow and single threaded, written in C

  • inundator – A simple and high-throughput HTTP flood program, written in C/Linux

  • jmeter – Apache JMeter™, pure application designed to load test performance both on static and dynamic resources, written in Java

  • mgun – A modern tool for load testing HTTP servers, written in Go (golang)

  • pounce – evented, but results fluctuate, it's sometimes faster than htstress, written in C

  • siege – slow and single threaded, written in C

  • slow_cooker – A load tester focused on lifecycle issues and long-running tests, service with a predictable load and concurrency level for a long period of time, written in Go (golang)

  • sniper – powerful & high-performance http load tester, written in Go (golang)

  • tsung – Simulate stress users in order to test the scalability and performance of IP based client/server applications HTTP, WebDAV, SOAP, PostgreSQL, MySQL, LDAP and Jabber/XMPP servers, written in Erlang

  • vegeta – HTTP load testing tool and library, written in Go (golang)

  • weighttp – multithreaded, but slower than htstress without keepalive, written in C

  • wrk – multithreaded~~, but doesn't offer concurrent connections and a keepalive switch~~, written in C/Lua

  • wrk2 – constant throughput, correct latency recording variant of wrk, written in C/Lua

      Concurrent connections are enabled with:
        -c, --connections <N>  Connections to keep open
      And keepalive (which is default) can be disabled using:
        -H "Connection: close"
  • yandex-tank – Load and performance benchmark tool, written in Python/C|C++|Asm (phantom)

Toolkit for testing/debugging HTTP(S) and restAPI (RESTful)

  • bat – Go implement CLI, cURL-like tool for humans, written in Go (golang)
  • curl – Powerful features command-line tool for transferring data specified with URL syntax, written in C
  • curlconverter – convert curl commands to python, javascript, php
  • httpie – client, user-friendly curl replacement with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, written in Python
  • jq – is a lightweight and flexible command-line JSON processor, written in C


  • – an easy solution to load and performance testing from the Cloud. Test scaliability on websites, mobile, web apps and REST APIs.
  • BlazeMeter – offers a cross-enterprise test automation framework for the entire technical team (developers, devops, ops and QA) throughout the product development lifecycle. Run continuous or ‘on demand’ testing for APIs, mobile apps and websites. Run from the cloud, on-premise or as a hybrid solution. Use with JMeter & Selenium WebDriver & integrate with your existing CI, CD & APM tools.
  • NewRelic – software analytics tool suite used by developers, ops, and software companies to understand how your applications are performing in development and production
  • NGINX Amplify – Visually identify performance bottlenecks, overloaded servers, or potential DDoS attacks. Improve and optimize NGINX performance with intelligent advice and recommendations. Get alerts when something is wrong with the delivery of your application. Plan capacity and performance for web applications. Keep track of systems running NGINX 1



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@RnbWd RnbWd commented Apr 18, 2015

vegeta is pretty cool


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@Vanuan Vanuan commented Feb 11, 2016 is quite good too


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@gstrauss gstrauss commented Feb 29, 2016

A fork of weighttp can be found at This branch is at least as fast as pounce and htstress for the single-threaded, no-keep-alive case, and can be must faster when multiple threads, keep-alive and HTTP pipelining are enabled.


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@hho hho commented Jun 8, 2016

Gatling is written in Scala


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@melnikaite melnikaite commented Aug 11, 2016


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@msaldivar1 msaldivar1 commented Sep 2, 2016


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Owner Author

@denji denji commented Sep 3, 2016

@msaldivar1 It went beyond consideration of the HTTP benchmark/tools (browser based analyzers), but you can find here


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@origliante origliante commented May 15, 2017

What do you think about ?


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@vladfr vladfr commented Feb 14, 2018

+1 for


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@kirkins kirkins commented Feb 26, 2018

@Vanuan hey I remember you, you made the Ukrainian postal lookup for DuckDuckGo.

Here is another tool that might be good for the list

(My mistake, already listed)


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@serhiikartashov serhiikartashov commented Oct 5, 2019 - SaaS alternative of BlazeMeter


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@PriyankPa PriyankPa commented Oct 22, 2019

I am looking for a simple replacement for apache bench which uses non-blocking IO instead of blocking IO with threads. Any suggestions?
I have looked at Gatling, it looks good. But I need a something simple that does not need writing scripts and can run from command line on a headless server.

More info:
Apache bench is unable to send beyond 14K requests per second. It is neither maxing out the CPU nor the bandwidth of the machine it is running on. It is definitely not maxing out the cluster (288 CPU Core Kubernetes Cluster). I guess it is because it has a limit of 1000 parallel threads which stay occupied till they receive a response.


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@pavelnunez pavelnunez commented Jun 21, 2020

I think that you should include [Locust] ( That would make this compilation better and more complete.

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