If you're in the market for a platform that can generate high-quality test data on-demand using AI and also create tests with no scripting, RoostGPT could be just what you're looking for. This AI-powered testing platform uses large language models to generate test cases at scale, ensuring 100% test coverage. It automatically generates unit and API test cases, ensuring high test quality and coverage while significantly reducing the time spent on testing. RoostGPT supports multiple AI models and integrates with popular tools, making it versatile for a variety of testing needs.
Another great option is GPT Driver, a full-stack mobile app QA tool that uses AI to automate testing. It enables teams to test more apps on more devices at lower costs. With automated testing, visual recognition, and support for all technologies without requiring source code access, GPT Driver delivers high accuracy and speed. Non-technical team members can define tests in natural language, making it easy to set up browser-based tests and record test flows.
For those looking for a platform that generates synthetic data, MOSTLY AI could be a good option. It democratizes data generation, allowing businesses to create and explore tabular data without writing code. With features like a natural language interface for data exploration, anonymous synthetic data generation, and high-accuracy synthetic data for AI/ML use cases, it's designed for enterprise customers. It can be used for a variety of applications including software testing and quality assurance.
Last, QA.tech provides an AI-powered self-service QA testing solution. It crawls web applications, runs tests, and produces detailed bug reports to ensure software quality. With features like customizable tests, automatic feature discovery, real-time feedback, and actionable bug reports, QA.tech automates testing to free up developers from tedious tasks and ensure product quality and reliability.