AUTOTEST vs QAEverest
AUTOTEST
github.com
QAEverest
qaeverest.aiSide by side
| Figure | AUTOTEST | QAEverest |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 6 |
| Spec score · AI Test Case Generators | 7.5 (#20) | 8.0 (#7) |
| Intended users | The README lists understanding of web-page test cases and knowledge of Selenium scripts among the prerequisites. | The maker presents QAEverest for QA and engineering teams, with enterprise features aimed at large organizations and use cases in financial services, retail, healthcare, insurance, utilities and manufacturing. |
Plans
QAEverest
- Free tierFree
- Annual planPrice not published
- EnterprisePriced on request
- Monthly planPrice not published
- Pay as you goPrice not published
- Quarterly planPrice not published
In their own words
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.