Open Source Python Automated Testing Tools for Linux

Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.

Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring and automated testing.

The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.

CUBRID QA project contains a test-automation tool and many kinds of test cases for CUBRID database.

GNU/Linux Desktop Testing Project (GNU/LDTP) is created with the goal of producing high quality test automation frameworks and cutting-edge tools that can be used to test the Linux Desktop and improve it.

Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and prototypes of network applications.

"Yet Another Do-It-Yourself (Test) Automation Framework" specification. Use or modify one of the existing software implementations (hosted/referenced here), or implement the framework yourself. Download and read the spec for more details.

aim is to provide support for monitoring system behaviour through dynamic analysis, and for analysing and modeling this data for a better understanding of system behaviour and for test automation

Jungletest is an system for automated testing of OpenOffice.org against a large set of documents. Currently, tests determine whether OOo will crash or hang when loading, scrolling through, or exporting the document.

OWLAND is an automated testing framework for description logic reasoners. It supports both ABox and TBox reasoning methods and is capable of running fully automated tests with any ontology and number of currently available reasoners.

Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development, test, and production support of software environments based on multiple programming languages for distributed multicore environments.