Search Results for "python software foundation license"

Locust is an open source user load testing tool written in Python. The idea behind Locust is to swarm your web site or other systems with attacks from simulated users during a test, with each user behavior defined by you using Python code. This swarming process is then monitored from a web UI in real-time, and will help identify any bottlenecks in your code before real users can come in. As it is completely event-based, Locust can have thousands or even millions of simultaneous users...

Renders and aggregates other web services into static HTML monitoring output. Also implements simple and dynamic testing of web based applications using mechanize. Includes Basic authentication, and ADFS authentication for web service testing. Custom authentications can be implemented very easily with python programming. Implements PhantomJS rendering for Javascript/HTML5 dynamic web pages. Requires python3

Yandex.Tank is an extensible open-source load testing tool for advanced Linux users which is especially good as a part of an automated load testing suite. Different load generators are supported. Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend...

GoldenEye is an python app for SECURITY TESTING PURPOSES ONLY! GoldenEye is a HTTP DoS Test Tool. Attack Vector exploited: HTTP Keep Alive + NoCache See README more details. Please note that this is a fork from the original at GitHub by https://github.com/jseidl Jan Seidl. And Official project link is https://github.com/jseidl/GoldenEye License This software is distributed under the GNU General Public License version 3 (GPLv3) DISCLAIMER: USE ON YOUR OWN RISK. ...

Addanc is a distributed/scalable system for stress/load testing web based applications. Addanc tests focus on the arrival rate of service requests rather than a fixed number of simulated clients.

Performance and load testing framework. We aim to create a testing tool for web applications that can simulate large numbers of concurrent users without mucking around with threads, and thus allow us to perform rate-based testing.