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AI Test Manager vs AUTOTEST

AI Test Manager

github.com

AUTOTEST

github.com

Side by side

FigureAI Test ManagerAUTOTEST
Price fromFree—
Free planYes—
Free trial——
Open source——
WindowsYesYes
Linux—Yes
Self-hosted—Yes
Plans published10
Spec score · AI Test Case Generators7.8 (#11)7.5 (#20)
Intended usersThe README describes it as a tool for QA and development workflows.The README lists understanding of web-page test cases and knowledge of Selenium scripts among the prerequisites.
LicenseThe repository says the app is MIT licensed and free for personal and commercial use.The repository says the project is licensed under the MIT license.
PurposeAI Test Manager generates use cases and test cases from a one-line scenario using AI.AUTOTEST is an open-source GenAI tool that analyzes web pages and generates automated test cases and Python Selenium scripts.

Plans

AI Test Manager

  • FreeFree

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AUTOTEST

No plans published.

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In their own words

AI Test Manager

AI Test Manager is a free Windows desktop application that turns a one-line requirement or scenario into structured use cases and test cases with AI. Users enter a scenario, generate results, then copy, export, or reuse them; generated cases can be exported to Excel. The application supports local inference through an Ollama endpoint, or users can provide a token for a paid API endpoint. Its repository describes the tool as requiring no login or coding and says it is MIT licensed for personal and commercial use. Setup consists of downloading and extracting the ZIP, opening AI_TestManagement.exe, and entering an AI endpoint and model name. The maker presents it for QA and development workflows. It is described as a Windows desktop tool, with local or cloud AI models in the plan details. The Free plan costs nothing. The repository owner identifies the maker as Sooraj Ramachandran, whose profile lists NYC.

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AUTOTEST

AUTOTEST is an open-source GenAI command-line tool that analyzes web pages and generates automated test cases and Python Selenium scripts. Starting from a base URL, it recursively collects unique internal URLs with breadth-first search to a chosen depth. Generated scenarios can include positive and negative cases for login, registration and forms when test data is supplied. Page analysis combines language-model metadata extraction with Selenium selector functions as a fallback. The project lists Selenium and Playwright support, with Puppeteer described in the development branch. LangChain provides access to major open-source and closed-source language models, with OpenAI, Groq and Anthropic shown as provider examples. Tests can pause for a user to handle a CAPTCHA or another security challenge. Scripts and reports are saved in local folders. Python 3.10.12 and an LLM-provider API key are prerequisites. SQLite caching is available, with a no-cache option to regenerate outputs. The project uses the MIT License.

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