Open Source Python Software Testing Tools - Page 3
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Python Software Testing Tools
View 239 business solutionsBrowse free open source Python Software Testing Tools and projects below. Use the toggles on the left to filter open source Python Software Testing Tools by OS, license, language, programming language, and project status.
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Atheris
A Coverage-Guided, Native Python Fuzzer
Atheris is a coverage-guided fuzzer for CPython that treats Python as a first-class fuzzing target, enabling rapid discovery of crashes and logic errors in pure-Python code and native extensions. It hooks into Python’s interpreter to collect fine-grained coverage and uses that signal to evolve inputs, pushing programs into previously unexplored code paths. Because many Python libraries are thin wrappers over C/C++ code, Atheris is equally adept at surfacing memory safety issues in extension modules compiled with sanitizers. The tool integrates smoothly with Python’s packaging and unit-test ecosystems, so you can wrap existing tests as fuzz targets and keep results understandable. It supports structured input strategies and custom mutators, which is especially helpful for text and data formats common in Python workloads. In practice, Atheris compresses weeks of edge-case brainstorming into hours of automated exploration with actionable, minimized reproductions. -
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Auto Proxy Filter Test (APFT) automates the testing of safe and unsafe URLs against a content filtering proxy (such as Dansguardian) and helps prevent regressions. APFT is useful to people who are designing filter rules.
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Beamology
Beamology: Semicom Project Management
Beamology is the leading field of project management for SuperWikia Alpha semicom codesmiths. Its residency programs offer vital resources for SuperWikia vertical environment development and utilities needed for SA-VEC certification. Beamology residents are automatically licensed to access the Transcom system. -
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Belay Device
Automated Provisioning and Testing Framework
Belay Device has moved! https://github.com/BelayTechnologies/Belay-Device -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Browsershots is a system for capturing screenshots of Web pages in many different browsers. When a user submits a web address on the central web interface, the screenshots are made automatically on distributed computers that are run by volunteers.
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CIGI Compliance Tools
Tools for Testing IG CIGI Compliance
Tools for testing CIGI IG and host implementations against the CIGI standard. -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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Classic HWUT - rename of previous HWUT
Software Unit Tests (Language Independent Approach)
Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode. Test cases can be generated using the 'gen' mode, and state machine walkers by the 'sm_walker' mode. Over the last decade HWUT has matured towards a full fledged unit test tool for a wide variety of applications. -
Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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Deepchecks
Test Suites for validating ML models & data
Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate your model and evaluate it. To run a specific single check, all you need to do is import it and then to run it with the required (check-dependent) input parameters. More details about the existing checks and the parameters they can receive can be found in our API Reference. An ordered collection of checks, that can have conditions added to them. The Suite enables displaying a concluding report for all of the Checks that ran. -
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Drid
Multi-Purpose Automation Grid
Console-based tool that will allow for multiple types of automation testing to run in parallel. Written in Python -
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ETICS stands for "eInfrastructure for Testing, Integration and Configuration of Software". It provides software professionals with an "out-of-the-box" build and test system, powered with a build and test product repository.
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EfficiencyGuardian extracts callgrind efficiency measures from individual CppUnit test cases to detect efficiency regresion. It includes a data mining web tool to browse historic results and TestFarm integration for unattended execution on commit.
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This is a Python module that formats error information and appends it to a logfile in a format conductive to diagnostics. It is an alternative in some instances to the Python built-in logging module.
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XAMPLE creates a separate, encrypted and independent LAMP environment on a system that does or does not already run a web server and database. It is useful to provide a customized environment for software refusing to work with the installed LAMP stack.
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FAST Simulations
An Open source Analysis and SImulation Toolbox for Fuel Cells
FAST is an Analysis and Simulation Toolbox (FAST) for Fuel Cells (FC) FAST-FC is the doctorate work of David B. Harvey and was developed with support from the U.S. DOE, Ballard, and Queen's University. Derivative works of FAST-FC include FC-APOLLO which is a forked branch of this project intended to capture the code state at the exit of the funded DOE project. FAST-FC is the open and active community branch. FAST-FC is developed and maintained by the original creator and developer, David B. Harvey. Features of FAST-fc include transport of gases and liquids, multi-step reaction kinetics, transient and steady state operation for performance and durability, and scalable dimensionality from 1D - 3D domains. Future development work is on-going in FAST-fc and our strategic development schedule includes membrane degradation, improved liquid water transport models through the application of pore networks, and extension to stack-level simulation. -
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Framework for writing decorator for FIT [Framework for Integrated Test][http://fit.c2.com/] fixtures. This project also provides a set of standard fit fixtures which can be used to decorate existing FIT table without modifying them.
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Feisty Meow® Concerns Codebase
The full codebase of Feisty Meow® Concerns Ltd.
Feisty Meow codebase offers a ton of useful bash scripts and implements several C++ libraries and many C++ applications. This is the Sourceforge mirror; visit our main site at: https://feistymeow.org -
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At the moment it's a collection of moderately useful python utility classes focusing mainly on unit test framework setup and development.
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FTF (for Flexible Testing Framework) is a modular framework for testing, both automatic and manual, and quality assurance. FTF initial development has been done in the EDOS project, to support Linux distributions testing.
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A suite of tools and extensions to Python to permit automatic specification-based testing with inline, incremental formal specification.
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FoxNuke
A Proffesional Stress-Testing(ddos) tool for pentesters
The FoxNuke program is written in python and uses Firefox in order to complete the distributed denial of service attack feature. Multiple headers are used from the Firefox browser, along with a personal configuration option for the Opera browser. The FoxNuke Program is still underdevelopment as of 8/24/17, full release is set to come out sometime during 2017-2018. If you would like to participate in the TESTING of this program and would like to help report bugs, etc. then please email leyvarosnel@gmail.com for further inquiries. Please note that Beta distributions will be limited. This whole project is being done open-source and for free as a hobby, so if I abandon this project it's just because I don't feel like working on it anymore. -
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Fressia Project is an effort to develop an Open Source general framework for Testing Automation. It's intended for users (testers) that want a simple tool which can be used just out of the box. It's does not requires any complicated configuration stuff
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. FRED is an opensource visual regression tool used to compare two instances of a website. FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. FRED is designed to be scalable. It has an internal queue and can process websites in parallel depending on the amount of RAM and CPUs (or GPUs) available.
