Python Test Framework: Getting Started

Python is a versatile language with large open-source community backing and multiple test resources and libraries that make Test Framework development easier. Python is also the most easy language to read so usually Test Frameworks developed in Python are easy to develop and maintain.

Compared to JavaScript, Python’s innate synchronous nature works well in defining and implementing most test scenarios. And unlike JavaScript, Python can be used for testing a wide variety of non-web applications.

Python provides junit compatible test frameworks with unittest, pytest and nose. For BDD type of testing (using Given, When, Then syntax similar to cucumber), we can use behave package.

Yes, absolutely! Python test frameworks are easy to integrate with most CI/CD systems including Jenkins, Travis and Bamboo.

We follow a few different paradigms in our Test Framework development to make them more robust and extensible to application changes. Some of these paradigms are applicable to only web or mobile applications, but others are applicable to any type of test framework.

Page Objects: These form an integral part of the test framework modularization – by allowing each page of the web-application provide an abstraction on the functionality of that page. This allows us to have the test framework resistant to changes to underlying UI. As long as the behavior of page is constant, we can localize the UI change impact to a single page object.

Data Driven Testing: We use sample data generated on real-time use as input to our UI automation scenarios. This allows us to write test cases or scenarios in a data-agnostic way, thus reducing the number of repetitive test scenarios to implement.

Configuration (JSON) based Testing: We have implemented a few proprietary tools for running test scenarios through different configurations. This allows us to focus on building test cases on a single configuration and then expand it to cover different configurations. An example of this approach is the different testing for different personas the application might support.

Python3 recently introduced support for asyncio. Using this library in conjunction with other test framework libraries, it is straightforward to develop Test Framework for REST API server in Python.

Yes, absolutely! Python provides ctypes library whereby Python code can directly call into C code and vice-versa. Instead of developing a complex C/C++ based automation framework, we recommend using Python for development. We have used Python for testing several embedded applications when the application under test exports a message based or REST API based API, but we can use Python even for linked C application testing.

It depends on the type of application under test. Most test frameworks that we have worked on in the past two years, including many complex application test frameworks, have been completed under 3 months. We provide accurate estimates and fixed price quotes for most Python based test framework development, contact us to learn more.

Our most common engagement model is an on-demand project for Test Automation Framework development. Usually client is aware of what they need, and we help implement the solution for them. We have onsite Software Architect and/or Project manager to drive the project requirements. Depending on the client and project needs, actual project development can happen onsite or at our offshore offices.

We also provide Managed QA Services which allow us to work in a more dynamic Agile/Scrum environment – where the requirements are changing frequently or the software product is changing frequently. We provide managed QA services either through T&M basis or through a fixed monthly costs model.

Our typical hourly rates are between $60-$80 per hour. This rate depends upon the automation engineer experience, test framework language, framework complexity and whether the resource is offshore or onsite. The rates mentioned above is a average hourly rate considering all these factors.

Use our which will provide you with a pretty accurate estimate based on your project parameters. You will receive an accurate estimate, few of our recent sample projects and a customized proposal for your project. Why wait,

Our goal is to make sure that you are 100% satisfied with our project delivery and will re-engage with us in future for further projects. That’s why we provide complete and immediate support after the project is complete. Our support turnaround is within 24 hours.

We also offer Managed QA Services SLA, which support not only to fix any test framework related issues – but also to keep adding new test scenarios, test cases and work on improving test automation process enhancements on a continuous basis.

Python Test Frameworks: Recent Projects

We have worked on over a 40 QA automation frameworks in the last few years and below are few of our recent case studies. Our strong expertise is in QA automation framework development using Python, JavaScript and Java.


QA Automation Framework for Embedded Web App and REST APIs.


Our Team worked with the client to create a web-application and corresponding QA Automation Framework for an embedded sensors device. The web-app was developed with Angular5, HTML/BootStrap; and corresponding QA Automation Framework was developed using Python, Selenium and BDD. More.


QA Automation Framework for SaaS web-service for Medical Policy Management


MCN Healthcare provides medical policy management services. Our team to develop an QA automation framework for their primary product – Policy Manager. As part of this effort, we implemented an end-to-end Test Automation and a CI/CD Framework, allowing MCN to reduce QA time substantially. More.


Secure Cloud Sharing Web Application and Test Framework


ZFyre is a Longmont based startup providing enterprise cloud data storage solutions. Our team designed, developed and published their secure MVP app. This app included data compression using ZStd, custom security encryptions and RackSpace API integrations. This web application was developed in Angular and BootStrap on Front End. Backend was developed using NodeJS and MongoDB. More.


Student Finance Mobile App and Test Framework


MVP Finance is a Longmont based startup providing educational software in Finance field to different colleges. Our team developed the entire mobile application prototype for Finance training. This project was developed with React Native Framework initially for Android platform and then extended to support iOS platform as well. More.


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