AUTOTEST vs TestMap.ai
AUTOTEST
github.comTestMap.ai
testmap.aiSide by side
| Figure | AUTOTEST | TestMap.ai |
|---|---|---|
| Price from | — | $15/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 0 | 3 |
| Spec score · AI Test Case Generators | 7.5 (#20) | 7.9 (#10) |
| Purpose | AUTOTEST is an open-source GenAI tool that analyzes web pages and generates automated test cases and Python Selenium scripts. | TestMap.ai generates test cases from user stories and requirements and provides test management for software teams. |
| Test coverage | It can generate positive and negative test cases, including for login, registration, and form pages when test data is supplied. | It generates structured test cases with prerequisites, steps, expected results, and coverage labels, and supports traditional, BDD, and exploratory styles. |
Plans
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.
TestMap.ai
TestMap.ai generates structured software test cases from user stories and requirements, then provides tools to manage test work and results. Its AI can use project history, architecture decisions, domain language, documentation rules, and testing conventions as context. Generated cases include prerequisites, steps, expected results, and coverage labels, and can use traditional, BDD, or exploratory styles.
Teams can run tests, track results, create bug reports, and trace requirements through to test outcomes. Real-time comments, review, approval, and role-based permissions support collaboration. GitHub connections can import requirements and code context and sync generated cases back into a workflow; Jira is also listed as an integration. The Chrome extension records browser interactions, selectors, screenshots, and API requests, and recordings can be linked to cases. An MCP server and API let AI assistants search and retrieve test cases and access projects and test runs using API-key authentication and project scoping. Starter is free, with up to two projects and two team members. Pro costs $15 a month and supports up to 50 team members. The service is available on web, as an extension, and through an API.