Taisite-Platform is an interface automation testing platform developed by "software testing & machine learning enthusiasts".
The platform is committed to effectively combining artificial intelligence technology with software testing, making the platform more intelligent and generalizable while ensuring test accuracy requirements, and at the same time optimizing the user experience as much as possible. The goal is to become the most considerate, easy-to-use, and The most beautiful open source testing platform.
The platform follows the idea of "separate development of front-end and back-end". The technology stack is: "Python + Vue + Mongodb". The back-end development uses the lightweight Web framework Flask, and the front-end UI framework uses the easy-to-use ElementUi.
Usage environment
It is recommended to use Chrome, the latest browser~
Features (os: What is the difference from other testing platforms?)
0. It has been put into production environment for more than 1 year, and it is easy to use without any burden~
1. The platform follows the "small but refined" strategy to maximize the cost-effective development and use of all functions, and can help the testing team quickly build an interface automation testing system that is easy to use/maintain.
2. The platform follows the "zero coding" principle, and users can complete more complex business process interface testing without programming.
3. The platform follows the principle of "appearance is justice".
4. The platform has an excellent scheduled task experience. After starting the scheduled task, you can deactivate/edit the task content at any time and it will take effect immediately. It also has rich alarm strategies.
5. The platform has import/export functions, supports testers' "favorite" Excel format, and is easy to generate/modify use cases in batches.
6. The platform has a relatively rich test result verification system and supports text similarity verification.
7. The platform provides external test task scheduling interface to facilitate integration with development projects.
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