Best AI tools for< Test Product Quality >

Functionize is an AI-powered test automation platform that helps enterprises improve their product quality and release faster. It uses machine learning to automate test creation, maintenance, and execution, and provides a range of features to help teams collaborate and manage their testing process. Functionize integrates with popular CI/CD tools and DevOps pipelines, and offers a range of pricing options to suit different needs.

TestCraft is an AI-powered assistant in software testing that leverages the capabilities of GPT-4 to simplify the testing process and enhance product quality. It generates automated tests for various automation frameworks and programming languages, helps in ideation by producing innovative test ideas, ensures project accessibility by identifying potential issues, and streamlines the testing process by transforming test ideas into automated tests. TestCraft aims to make software testing more efficient and effective.

Glato AI is an innovative AI tool designed to help users create short video ads that sell. It offers a fast and simple way to generate engaging video content for marketing purposes. With features like real creator clones, expressive videos, auto B-roll, and trend analysis, Glato AI empowers users to boost their ROI and drive traffic effectively. The tool is loved by founders and brands for its ability to streamline the video creation process and enhance user-generated content production.

ILoveMyQA is an AI-powered QA testing service that provides comprehensive, well-documented bug reports. The service is affordable, easy to get started with, and requires no time-zapping chats. ILoveMyQA's team of Rockstar QAs is dedicated to helping businesses find and fix bugs before their customers do, so they can enjoy the results and benefits of having a QA team without the cost, management, and headaches.

Page Pilot AI is a tool that helps e-commerce store owners create high-converting product pages and ad copy using artificial intelligence. It offers features such as product page generation, ad creative generation, and access to winning products. With Page Pilot AI, users can save time and money by automating the product testing phase and launching products faster.

Spur is an AI QA tool that allows users to test websites using natural language, eliminating the need for complex test scripts. It offers reliable automated tests that adapt to UI changes, real-time playback for debugging, and powerful validations. Spur's AI-powered tests reduce manual testing time, improve software testing processes, and ensure the reliability of tests even with site changes. The tool is user-friendly, requires no coding skills, and supports API testing.

Ottic is an AI tool designed to empower both technical and non-technical teams to test Language Model (LLM) applications efficiently and accelerate the development cycle. It offers features such as a 360º view of the QA process, end-to-end test management, comprehensive LLM evaluation, and real-time monitoring of user behavior. Ottic aims to bridge the gap between technical and non-technical team members, ensuring seamless collaboration and reliable product delivery.

Lisapet.AI is an AI prompt testing suite designed for product teams to streamline the process of designing, prototyping, testing, and shipping AI features. It offers a comprehensive platform with features like best-in-class AI playground, variables for dynamic data inputs, structured outputs, side-by-side editing, function calling, image inputs, assertions & metrics, performance comparison, data sets organization, shareable reports, comments & feedback, token & cost stats, and more. The application aims to help teams save time, improve efficiency, and ensure the reliability of AI features through automated prompt testing.

Mabl is a leading unified test automation platform built on cloud, AI, and low-code innovations that delivers a modern approach ensuring the highest quality software across the entire user journey. Our SaaS platform allows teams to scale functional and non-functional testing across web apps, mobile apps, APIs, performance, and accessibility for best-in-class digital experiences.

Incribo is a company that provides synthetic data for training machine learning models. Synthetic data is artificially generated data that is designed to mimic real-world data. This data can be used to train machine learning models without the need for real-world data, which can be expensive and difficult to obtain. Incribo's synthetic data is high quality and affordable, making it a valuable resource for machine learning developers.

Autoblocks AI is an AI application designed to help users build safe AI apps efficiently. It allows users to ship AI agents in minutes, speeding up the development process significantly. With Autoblocks AI, users can prototype quickly, test at a faster rate, and deploy with confidence. The application is trusted by leading AI teams and focuses on making AI agent development more predictable by addressing the unpredictability of user inputs and non-deterministic models.

Pezzo is an open-source platform that enables developers to build, test, monitor, and ship AI features quickly and efficiently. It provides a range of powerful features to streamline the workflow, including prompt management, observability, troubleshooting, and collaboration tools. With Pezzo, teams can deliver impactful AI features in sync and optimize for cost and performance.

Tusk is an AI-powered tool designed to prevent regressions and increase test coverage by generating unit and integration tests with codebase context. It reads codebase and documentation to suggest test cases, helping engineers catch edge cases that may be missed. Tusk seamlessly integrates into GitHub and CI/CD pipelines, offering features like mock services, non-blocking checks, user-centric interface design, personalization, integration with third-party APIs, and scalable architecture for high performance.

Sofy is a revolutionary no-code testing platform for mobile applications that integrates AI to streamline the testing process. It offers features such as manual and ad-hoc testing, no-code automation, AI-powered test case generation, and real device testing. Sofy helps app development teams achieve high-quality releases by simplifying test maintenance and ensuring continuous precision. With a focus on efficiency and user experience, Sofy is trusted by top industries for its all-in-one testing solution.

Plumb is a no-code, node-based builder that empowers product, design, and engineering teams to create AI features together. It enables users to build, test, and deploy AI features with confidence, fostering collaboration across different disciplines. With Plumb, teams can ship prototypes directly to production, ensuring that the best prompts from the playground are the exact versions that go to production. It goes beyond automation, allowing users to build complex multi-tenant pipelines, transform data, and leverage validated JSON schema to create reliable, high-quality AI features that deliver real value to users. Plumb also makes it easy to compare prompt and model performance, enabling users to spot degradations, debug them, and ship fixes quickly. It is designed for SaaS teams, helping ambitious product teams collaborate to deliver state-of-the-art AI-powered experiences to their users at scale.

QA.tech is an advanced end-to-end testing application designed for B2B SaaS companies. It offers AI-powered testing solutions to help businesses ship faster, cut costs, and improve testing efficiency. The application features an AI agent named Jarvis that automates the testing process by scanning web apps, creating detailed memory structures, generating tests based on user interactions, and continuously testing for defects. QA.tech provides developer-friendly bug reports, supports various web frameworks, and integrates with CI/CD pipelines. It aims to revolutionize the testing process by offering faster, smarter, and more efficient testing solutions.

Inductor is a developer tool for evaluating, ensuring, and improving the quality of your LLM applications – both during development and in production. It provides a fantastic workflow for continuous testing and evaluation as you develop, so that you always know your LLM app’s quality. Systematically improve quality and cost-effectiveness by actionably understanding your LLM app’s behavior and quickly testing different app variants. Rigorously assess your LLM app’s behavior before you deploy, in order to ensure quality and cost-effectiveness when you’re live. Easily monitor your live traffic: detect and resolve issues, analyze usage in order to improve, and seamlessly feed back into your development process. Inductor makes it easy for engineering and other roles to collaborate: get critical human feedback from non-engineering stakeholders (e.g., PM, UX, or subject matter experts) to ensure that your LLM app is user-ready.

Applitools is an AI-powered test automation platform that helps businesses improve the quality of their digital experiences. It uses visual AI to validate user interfaces across any type of screen or device, and it can be deployed on-prem, in the cloud, or as a SaaS solution. Applitools integrates with all of the major development tools and workflows, and it offers a wide range of features and advantages that can help businesses save time and money while improving the quality of their software.

Testim is an AI-powered UI and functional testing platform that helps accelerate test authoring, reduce test maintenance, and release higher-quality apps faster. It offers a range of features such as fast authoring speed, test stability, root cause analysis, and TestOps, making it an efficient and effective solution for product development teams.

UpTrain is a full-stack LLMOps platform designed to help users confidently scale AI by providing a comprehensive solution for all production needs, from evaluation to experimentation to improvement. It offers diverse evaluations, automated regression testing, enriched datasets, and innovative techniques to generate high-quality scores. UpTrain is built for developers, compliant to data governance needs, cost-efficient, remarkably reliable, and open-source. It provides precision metrics, task understanding, safeguard systems, and covers a wide range of language features and quality aspects. The platform is suitable for developers, product managers, and business leaders looking to enhance their LLM applications.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

Aimeos Laravel is a professional, full-featured, and ultra-fast Laravel ecommerce package that can be easily integrated into existing Laravel applications. It offers a wide range of features including multi-vendor, multi-channel, and multi-warehouse support, fast performance, support for various product types, subscriptions with recurring payments, multiple payment gateways, full RTL support, flexible pricing options, admin backend, REST and GraphQL APIs, modular structure, SEO optimization, multi-language support, AI-based text translation, mobile optimization, and high-quality source code. The package is highly configurable and extensible, making it suitable for e-commerce SaaS solutions, marketplaces, and online shops with millions of vendors.

Kwaak is a tool that allows users to run a team of autonomous AI agents locally from their own machine. It enables users to write code, improve test coverage, update documentation, and enhance code quality while focusing on building innovative projects. Kwaak is designed to run multiple agents in parallel, interact with codebases, answer questions about code, find examples, write and execute code, create pull requests, and more. It is free and open-source, allowing users to bring their own API keys or models via Ollama. Kwaak is part of the bosun.ai project, aiming to be a platform for autonomous code improvement.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Awesome-Lists is a curated index of selected resources spanning various fields including programming languages and theories, web and frontend development, server-side development and infrastructure, cloud computing and big data, data science and artificial intelligence, product design, etc. It includes articles, books, courses, examples, open-source projects, and more. The repository categorizes resources according to the knowledge system of different domains, aiming to provide valuable and concise material indexes for readers. Users can explore and learn from a wide range of high-quality resources in a systematic way.

Aimeos is a full-featured e-commerce platform that is ultra-fast, cloud-native, and API-first. It offers a wide range of features including JSON REST API, GraphQL API, multi-vendor support, various product types, subscriptions, multiple payment gateways, admin backend, modular structure, SEO optimization, multi-language support, AI-based text translation, mobile optimization, and high-quality source code. It is highly configurable and extensible, making it suitable for e-commerce SaaS solutions, marketplaces, and various cloud environments. Aimeos is designed for scalability, security, and performance, catering to a diverse range of e-commerce needs.

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

The Azure Health Data and AI Samples Repo is a collection of sample apps and code to help users start with Azure Health Data and AI services, learn product usage, and speed up implementations. It includes samples for various health data workflows, such as data ingestion, analytics, machine learning, SMART on FHIR, patient services, FHIR service integration, Azure AD B2C access, DICOM service, MedTech service, and healthcare data solutions in Microsoft Fabric. These samples are simplified scenarios for testing purposes only.

Digma is a Continuous Feedback platform that provides code-level insights related to performance, errors, and usage during development. It empowers developers to own their code all the way to production, improving code quality and preventing critical issues. Digma integrates with OpenTelemetry traces and metrics to generate insights in the IDE, helping developers analyze code scalability, bottlenecks, errors, and usage patterns.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

Examor is a website application that allows you to take exams based on your knowledge notes. It helps you to remember what you have learned and written. The application generates a set of questions from the documents you upload, and you can answer them to test your knowledge. Examor also uses GPT to score and validate your answers, and provides you with feedback. The application is still in its early stages of development, but it has the potential to be a valuable tool for learners.

Astra.ai is a multimodal agent powered by TEN, showcasing its capabilities in speech, vision, and reasoning through RAG from local documentation. It provides a platform for developing AI agents with features like RTC transportation, extension store, workflow builder, and local deployment. Users can build and test agents locally using Docker and Node.js, with prerequisites including Agora App ID, Azure's speech-to-text and text-to-speech API keys, and OpenAI API key. The platform offers advanced customization options through config files and API keys setup, enabling users to create and deploy their AI agents for various tasks.

Evals provide a framework for evaluating large language models (LLMs) or systems built using LLMs. We offer an existing registry of evals to test different dimensions of OpenAI models and the ability to write your own custom evals for use cases you care about. You can also use your data to build private evals which represent the common LLMs patterns in your workflow without exposing any of that data publicly.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

Kiln is an intuitive tool for fine-tuning LLM models, generating synthetic data, and collaborating on datasets. It offers desktop apps for Windows, MacOS, and Linux, zero-code fine-tuning for various models, interactive data generation, and Git-based version control. Users can easily collaborate with QA, PM, and subject matter experts, generate auto-prompts, and work with a wide range of models and providers. The tool is open-source, privacy-first, and supports structured data tasks in JSON format. Kiln is free to use and helps build high-quality AI products with datasets, facilitates collaboration between technical and non-technical teams, allows comparison of models and techniques without code, ensures structured data integrity, and prioritizes user privacy.

Ensures product quality through rigorous, systematic testing processes.

Ensures product quality through systematic process monitoring and evaluation.

Improves product quality through innovative research and development.

Ensures project deliverables meet predetermined quality standards.

Enhanced QA/QC expertise with user-driven improvements, powered by OpenAI

Comprehensive Cannabis Testing and QC AI Advisor

Hello I'm Electronics Tester Assistant! What would you like help with today?

This GPT writes tickets for software features. It uses Gherkin to specify scenarios. @cxmacedo

I'm a PM Edtech Assistant for PMP prep with fun quizzes.

An expert on plastics

Warm tech support for seniors, with calming strategies, patient and helpful.

Expert in testing, inspection, certification, compliant with OpenAI policies, developed on OpenAI.

💡 Inventor of vehicles 🚀

Consultant for optimizing Shopify product pages

Crafts 'Mom Test' questions for unbiased product feedback

Multi-algorithmic mastermind who innovates technology solutions and optimizes product design. And it is a duck. // Carefully test any generated solutions.

Expert at crafting engaging questions like Rob Fitzpatrick

ABテストのサポート専門家

Calculate the results of your A/B test and check whether the result is statistically significant or due to chance.

The official GPT for the MegaMock library