Alternatives to LangSmith

Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

ZAPTEST is a leading Free and Enterprise software test automation and RPA tool. Computer Vision technology allows cross-platform digital interface automation for UI and API. This combined with our 1SCRIPT methodology, seamless automation, parallel execution, and unlimited licenses, will result in a testing suite that generates up to 10X ROI. ZAPTEST will automate any procedure you can do via any digital interface (live app or mockup). Discover the unparalleled advantages of partnering with ZAPTEST Our partners are essential in providing businesses with innovative, industry-leading automation solutions that transform software testing and RPA processes. ZAPTEST empowers organizations with a unified automation platform that streamlines both software testing and business operations. Our unlimited licensing model ensures you can scale effortlessly, transforming your business into an agile, efficient powerhouse.

Bugfender provides log storage services for developers. It includes remote logger, crash reporter, and in-app feedback. Bugfender records everything that happens in an application, even if it crashes, to help you reproduce and resolve bugs faster and provide better customer service. Bugfender protects the privacy of your user, is network and battery efficient, and keeps logging even when the device is offline. Bugfender can track and destroy bugs before users notice. Bugfender logs every bug on every device and sends the results within seconds. This allows you to find and fix bugs before users even notice. Achieve 5-Star Ratings. Bugfender logs more than just crashes and bugs. Bugfender logs every bit of information you need to build a picture of your users, and earn five-star ratings. Provide exceptional customer service. Our logging tool allows you to target specific users and provide personalized customer service.

Scout Monitoring is Application Performance Monitoring that shows you what charts cannot. Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers even see them. Scout APM's real-time alerting system, developer-centric interface, and tracing logic, which ties bottlenecks to source code directly, helps you spend less time on debugging, and more time creating great products. With an agent that instrument the dependencies needed at a fraction the overhead, you can quickly identify, prioritize and resolve performance issues - memory bloats, N+1 queries and slow database queries. Scout APM monitors Ruby, PHP and Python applications.

Build, deploy and scale AI applications from end-to-end in the cloud. Griptape provides developers with everything they need from the development framework up to the execution runtime to build, deploy and scale retrieval driven AI-powered applications. Griptape, a Python framework that is modular and flexible, allows you to build AI-powered apps that securely connect with your enterprise data. It allows developers to maintain control and flexibility throughout the development process. Griptape Cloud hosts your AI structures whether they were built with Griptape or another framework. You can also call directly to LLMs. To get started, simply point your GitHub repository. You can run your hosted code using a basic API layer, from wherever you are. This will allow you to offload the expensive tasks associated with AI development. Automatically scale your workload to meet your needs.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

LangGraph gives you the precision and control to build agents that can reliably handle complex tasks. LangGraph Platform allows you to build and scale agentic apps. LangGraph's flexible Framework supports diverse control flows, including single agent, multi-agent and hierarchical. It also handles realistic and complex scenarios. Moderation and quality loops are easy to add, ensuring that agents do not veer off course. LangGraph Platform can be used to template your cognitive architecture, so that tools, prompts and models can be easily configured with LangGraph Platform Assistants. LangGraph agents are able to work seamlessly with humans, as they can write drafts and wait for approval before taking action. You can easily inspect the agent's action and "time-travel", to take a different course of action.

We believe that the most effective and differentiated applications won't only call out via an API to a language model. LangChain supports several modules. We provide examples, how-to guides and reference docs for each module. Memory is the concept that a chain/agent calls can persist in its state. LangChain provides a standard interface to memory, a collection memory implementations and examples of agents/chains that use it. This module outlines best practices for combining language models with your own text data. Language models can often be more powerful than they are alone.

Langtail is a cloud-based development tool designed to streamline the debugging, testing, deployment, and monitoring of LLM-powered applications. The platform provides a no-code interface for debugging prompts, adjusting model parameters, and conducting thorough LLM tests to prevent unexpected behavior when prompts or models are updated. Langtail is tailored for LLM testing, including chatbot evaluations and ensuring reliable AI test prompts. Key features of Langtail allow teams to: • Perform in-depth testing of LLM models to identify and resolve issues before production deployment. • Easily deploy prompts as API endpoints for smooth integration into workflows. • Track model performance in real-time to maintain consistent results in production environments. • Implement advanced AI firewall functionality to control and protect AI interactions. Langtail is the go-to solution for teams aiming to maintain the quality, reliability, and security of their AI and LLM-based applications.

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data

The first platform designed for prompt engineers. Log OpenAI requests, track usage history, visual manage prompt templates, and track performance. Manage Never forget one good prompt. GPT in Prod, done right. Trusted by more than 1,000 engineers to monitor API usage and version prompts. Your prompts can be used in production. Click "log in" to create an account on PromptLayer. Once you have logged in, click on the button to create an API Key and save it in a secure place. After you have made your first few requests, the API key should be visible in the PromptLayer dashboard. LangChain can be used with PromptLayer. LangChain is a popular Python library that assists in the development and maintenance of LLM applications. It offers many useful features such as memory, agents, chains, and agents. Our Python wrapper library, which can be installed with pip, is the best way to access PromptLayer at this time.

Lunary is a platform for AI developers that helps AI teams to manage, improve and protect chatbots based on Large Language Models (LLM). It includes features like conversation and feedback tracking as well as analytics on costs and performance. There are also debugging tools and a prompt directory to facilitate team collaboration and versioning. Lunary integrates with various LLMs, frameworks, and languages, including OpenAI, LangChain and JavaScript, and offers SDKs in Python and JavaScript. Guardrails to prevent malicious prompts or sensitive data leaks. Deploy Kubernetes/Docker in your VPC. Your team can judge the responses of your LLMs. Learn what languages your users speak. Experiment with LLM models and prompts. Search and filter everything in milliseconds. Receive notifications when agents do not perform as expected. Lunary's core technology is 100% open source. Start in minutes, whether you want to self-host or use the cloud.

EasyQA Software Development Kit can detect and fix crashes in Android or iOS mobile apps Save time You don't need to reproduce the crash in order to determine its cause. Just send it to the Crashes Page within your project and review all details with a log file Delete duplicated crashes If you are unable to debug your code or know of the crash and don't wish him to appear in your system, click on the Delete button Check log files on your phone If your application crashes, restart it. Click on the notification to confirm. You can instantly check the log file to determine the root cause.

Bugwolf quickly reviews your web, mobile and desktop applications to find software problems before your customers. Bugwolf can usually complete a testing cycle within 48 hours. Our clients schedule regular testing cycles at certain milestones in their projects to get the best results. This allows for more bugs to be found earlier, which can help speed up the development process. This will prevent more headaches closer to launch. Your development teams often have to work hard in order to meet a product launch deadline. It's not good for team morale to make tired developers work late to test, and it often leads to bugs falling through. Hire professionals to save your team the hassle. It is crucial to have fresh eyes that understand the testing process before launching a product.

Tool for developers to monitor and improve AI powered by LLMs or other foundation models. Our simple SDK provides you with an intuitive and actionable overview of how your generative AI application is performing in production. Integrate LLM into your existing codebase, developer workflow and workflow. You can maintain complete control of your data by using our audit logs and fine-grained controls. Get actionable insights into how to improve LLM interactions. These teams are not only best equipped to integrate these capabilities into existing software, but also their proclivity for deployment, iteration, and improvement will be more relevant going forward. We believe that as software becomes more malleable, engineering teams will be the ones to turn this malleability into a delightful and hyper-personalized experience for users. The generative AI revolution will be led by developers.

The current approaches to software testing have become outdated, inefficient and expensive, resulting in reliability issues and wasted engineering efforts. Antithesis is an entirely new approach to testing, debugging and software development. Your team will spend less testing and more building your software. Our platform searches for bugs in your software continuously, in a simulated environment that allows every problem to be reproduced perfectly. This allows efficient debugging even of the most complex problems. Antithesis is a platform that continuously tests software systems. As your developers create code, they upload their software (as containers images) to Antithesis. We run your software in a variety conditions and report any unintended behaviors. We test your system using a variety of predefined properties. We also offer an SDK that allows you to define additional test properties specific for your system.

You can build reliable and optimized code to achieve the best results on multiple Server or HPC architectures. This includes the latest compilers and C++ standard, as well as Intel, 64-bit Arm and AMD, OpenPOWER and Nvidia GPU hardware. Arm Forge combines Arm DDT (the leading debugger for efficient, high-performance application debugging), Arm MAP (the trusted performance profiler that provides invaluable optimization advice across native, Python, and HPC codes), and Arm Performance Reports, which provide advanced reporting capabilities. Arm DDT/Arm MAP can also be purchased as standalone products. Arm experts provide full technical support for efficient application development on Linux Server and HPC. Arm DDT is the best debugger for C++, C, and Fortran parallel applications. Arm DDT's intuitive graphical interface makes it easy to detect memory bugs at all scales and divergent behavior. This makes it the most popular debugger in academia, industry, research, and academia.

Build your RAG system intuitively with fewer abstractions than solutions like LangChain. You can choose from a variety of hosted and remote providers, including vector databases, datasets and Large Language Models. SciPhi allows you to version control and deploy your system from anywhere using Git. SciPhi's platform is used to manage and deploy an embedded semantic search engine that has over 1 billion passages. The team at SciPhi can help you embed and index your initial dataset into a vector database. The vector database will be integrated into your SciPhi workspace along with your chosen LLM provider.

All the steps involved in building machine learning algorithms and predicting results, all in one click. Data Dialog allows you to easily shape your data without having to wrangle your files. Your prediction reports can be shared with your team members or made public. Let anyone make predictions on your model. Our low-code API allows you to integrate dynamic ML predictions directly into your app. Real-time prediction of willingness to pay, score leads, and many other things. AI gives you access to the most advanced algorithms in the world, without compromising on performance. Forecast revenue, optimize supply chain, personalize your marketing. Now you can see what the next steps are. In minutes, you can add a CSV file or integrate with your favorite data sources. Select your prediction column from the dropdown and we'll automatically build the AI. Visualize the top drivers, predicted results, and simulate "what-if?" scenarios.

LangWatch is a vital part of AI maintenance. It protects you and your company from exposing sensitive information, prevents prompt injection, and keeps your AI on track, preventing unforeseen damage to the brand. Businesses with integrated AI can find it difficult to understand the behaviour of AI and users. Maintaining quality by monitoring will ensure accurate and appropriate responses. LangWatch's safety check and guardrails help prevent common AI problems, such as jailbreaking, exposing sensitive information, and off-topic discussions. Real-time metrics allow you to track conversion rates, output, user feedback, and knowledge base gaps. Gain constant insights for continuous improvements. Data evaluation tools allow you to test new models and prompts and run simulations.

Defang is a software organization located in Canada that was started in 2022 and provides software named Defang. Defang includes training through documentation and videos. Cost begins at $10 per month. Defang is a type of AI app generators software. Defang is offered as Windows, Mac, and Linux software. Defang has a free version. Defang provides online support.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Instabug offers mobile apps bug reporting and in-app feedback. It allows seamless two-way communication between testers and users, as well as detailed environment reports for developers, after integrating the SDK. The integration takes less than 5 minutes and the results are amazing! Instabug is trusted by the top apps around the globe. Instabug is rated highly for its bug reporting and tracking tools. We offer exceptional support 24 hours a day.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

Xdebug is a PHP extension that provides a variety of features to enhance the PHP development experience. You can step through your code while the script is running in your editor or IDE. A new var_dump() function that allows you to stack trace your code to highlight warnings, errors and exceptions. Writes every function call, including arguments and invocation location to the disk. Optionally, includes each variable assignment and return value for each of the functions. With the help of visualization tools, you can analyze the performance of your PHP app and identify bottlenecks. This tool allows you to see which parts of your code are executed when PHPUnit runs unit tests. The fastest way to install Xdebug is often with a package manager. You can replace the PHP version you are using with the version that is compatible. Xdebug can be installed via PECL on Linux & macOS using Homebrew.

Find performance bottlenecks quickly and visualize what's going on in complex C/C++ applications. Orbit is an independent profiler and debugging software for Windows and Linux. Its primary purpose is to assist developers in understanding and visualizing the execution flow of complex applications. Orbit provides a bird's-eye view of what's happening under the hood. This allows developers to better understand complex systems and quickly identify performance bottlenecks. Orbit will work on any C/C++ program, as long as the application has access to a Pdb file. As soon as Orbit is downloaded, you can start profiling. Orbit injects and hooks selected functions into the target process. It works on highly optimized final/shipping build. When you don't have a clue where to begin, sampling is a great way to get started. Orbit's sampler is fast, robust and "always-on". Orbit optimizes the workflow by combining dynamic instrumentation and sampling.

Build, test and optimize Generative AI apps that unlock the value in your data. Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs. We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.

Create, evaluate, deploy, refine, and improve custom natural language processing models. Your team can automate workflows without the need for an AI expert team or expensive infrastructure. Metatext makes it easy to create customized AI/NLP models without any prior knowledge of ML, data science or MLOps. Automate complex workflows in just a few steps and rely on intuitive APIs and UIs to handle the heavy lifting. Our APIs will handle all the heavy lifting. Your custom AI will be trained and deployed automatically. A set of deep learning algorithms will help you get the most out of your custom AI. You can test it in a Playground. Integrate our APIs into your existing systems, Google Spreadsheets, or other tools. Choose the AI engine that suits your needs. Each AI engine offers a variety of tools that can be used to create datasets and fine tune models. Upload text data in different file formats and use our AI-assisted data labeling tool to annotate labels.

Native support for ChatGPT, LangChain and more. Bing, HuggingFace, and more to come. Add your API documentation by hand or import an OpenAPI specification. Access the request prompt and parameters, headers, bodies, and more. View detailed live metrics on how your plugin performs, including latencies and errors. Create your own dashboards to track funnels and aggregate metrics.

Maxim is a enterprise-grade stack that enables AI teams to build applications with speed, reliability, and quality. Bring the best practices from traditional software development to your non-deterministic AI work flows. Playground for your rapid engineering needs. Iterate quickly and systematically with your team. Organise and version prompts away from the codebase. Test, iterate and deploy prompts with no code changes. Connect to your data, RAG Pipelines, and prompt tools. Chain prompts, other components and workflows together to create and test workflows. Unified framework for machine- and human-evaluation. Quantify improvements and regressions to deploy with confidence. Visualize the evaluation of large test suites and multiple versions. Simplify and scale human assessment pipelines. Integrate seamlessly into your CI/CD workflows. Monitor AI system usage in real-time and optimize it with speed.

IBM® Rational® Performance Tester allows software testing teams to test faster and more often as part of a DevOps strategy. It validates the scalability and performance of web and server apps, identifies system bottlenecks and reduces load testing. Software testing teams can quickly run performance tests to analyze the impact of load on application. Instead of using complicated tools, the testing team can focus on validating the application's scalability. This combination allows for easy access to the underlying protocol data, remote system statistics, and the ability to insert custom Java codes. To integrate project team members, it relies on open standards and shared experiences.

To meet performance demands, perform more testing in a shorter time Hiperstation automates load, performance, and regression testing to help DevOps teams test more frequently and more consistently while ensuring that applications meet production performance requirements. Hiperstation enables developers to: Automated, repeatable, and consistent regression and performance testing for application business requirements Perform pre-production performance testing of software applications and systems Analyze test results to identify all application response differences Document thoroughly mainframe application testing results Simulate server application responses during a user interface test Test operating system, language environment, or subsystem changes Without a user interface, test application changes

Automated website testing can help you save time and money. A powerful assistant that can help you monitor and test the performance of your clients' websites in different browsers, browser versions, platforms, and browsers. Comparium allows you to take screenshots of pages that require login. You can quickly enter the username and password for the web resource that is protected by Basic/HTTP authentication to run cross-browser tests. Comparium's first version is a web application that provides the user with all the information they need to test their website. You can test your web page design on any browser and operating system. You can save your time by using our service. Website testing has never been easier. Simply submit the URL to test your website and you will see the results. The service will send you screenshots of the web page design.

Your platform for developing generative AI and custom copilots. Use pre-built and customizable AI model on your data to build solutions faster. Explore a growing collection of models, both open-source and frontier-built, that are pre-built and customizable. Create AI models using a code first experience and an accessible UI validated for accessibility by developers with disabilities. Integrate all your OneLake data into Microsoft Fabric. Integrate with GitHub codespaces, Semantic Kernel and LangChain. Build apps quickly with prebuilt capabilities. Reduce wait times by personalizing content and interactions. Reduce the risk for your organization and help them discover new things. Reduce the risk of human error by using data and tools. Automate operations so that employees can focus on more important tasks.

Initial tests for Apache Ant tasks were written in JUnit test cases. It became clear that most tests had to perform common tasks such as reading a build file and initializing a project instance. This was the point when BuildFileTest was created, a base class that can be used for most task test cases. BuildFileTest is a good tool and has been adopted by the Ant-Contrib Project as well as others. This approach has several advantages. One of these is the ease of translating a build file from a bug into a test case. Asking a user to create a testcase for Ant for a bug that is known to be problematic, he doesn't have to know JUnit or how to integrate a test into Ant. AntUnit extends this approach to testing by removing JUnit entirely and providing a set predefined tests.<assert>tasks to be reused common type of checks.</assert>

Open and modular software allows you to revamp your test plan development and execute it with speed, scale, ease, and ease. OpenTAP is an open-source test automation sequencing engine. Application development tools for OpenTAP developers. A modular, flexible plug-in architecture that can be adapted to your specific applications. Graphical user interfaces are available for testing plan design, optimization, and management. Integrated design and simulation software can help you bring your ideas to life. Software for testing sequencers, including a timing analyzer, result viewer, as well as other useful tools for automation development. Keysight Command Expert allows you to create custom test steps for PathWave Test Automation. You can easily create switch connections using a graphical editor.

Confident AI is used by companies of all sizes to prove that their LLM is worth being in production. On a single, central platform, you can evaluate your LLM workflow. Deploy LLM with confidence to ensure substantial benefits, and address any weaknesses within your LLM implementation. Provide ground truths to serve as benchmarks for evaluating your LLM stack. Ensure alignment with predefined output expectation, while identifying areas that need immediate refinement and adjustments. Define ground facts to ensure that your LLM behaves as expected. Advanced diff tracking for iterating towards the optimal LLM stack. We guide you through the process of selecting the right knowledge bases, altering the prompt templates and selecting the best configurations for your use case. Comprehensive analytics to identify focus areas. Use out-of-the box observability to identify use cases that will bring the greatest ROI for your organization. Use metric insights to reduce LLM costs and delays over time.

Eggplant empowers organizations to create incredible digital experiences. We help businesses monitor, analyze and improve their customer experience. Eggplant is used by companies around the world to outperform their competitors, increase productivity, and delight customers. How does Eggplant work? How? By dramatically improving the quality, responsiveness and performance of their software apps across different interfaces and platforms, browsers and devices -- including mobile, IoT and desktop -- in agile, DevOps and innovative application and data environments.

Firebase Test Lab, a cloud-based app test infrastructure, allows you to test your app on a variety of devices and configurations so that you can get a better understanding of how it will perform in real users' hands. Test Lab uses real production devices that are running in a Google data centre to test your app. These devices have updated APIs and customizable locale settings that allow you to road-test your application on real-world hardware and configurations. Run your test using our available tools. Test Lab can take up to several minutes depending on the size of the test matrix. You can view the results of your tests in the Firebase console after they are completed. You can create your test matrix using one of our integrated tools. Select a set devices, OS versions, locales and screen orientations. Modify your test to run in Test Lab if necessary. Your app can be built and packaged, then uploaded to Firebase.

Use Prompt mixer to create chains and prompts. Combine your chains with data sets and improve using AI. Test scenarios can be developed to evaluate various prompt and model combinations, determining the best combination for different use cases. Prompt mixer can be used for a variety of tasks, including creating content and conducting R&D. Prompt mixer can boost your productivity and streamline your workflow. Use Prompt mixer to create, evaluate, and deploy content models for different applications, such as emails and blog posts. Use Prompt mixer to extract or combine data in a secure manner, and monitor it easily after deployment.

OpenText ALM Quality Center is a single-pane-of-glass for software quality management. It helps you implement rigorous and auditable lifecycle process and govern application lifecycle activities. Use the reusability and traceability of ALM tools, as well as their automation, to improve efficiency when developing, testing and maintaining applications. Automate the collection of results and gain real-time insight into application quality by eliminating time-consuming, error-prone manual processes. Standardize processes with templates and workflows built into ALM. Ensure compliance through detailed change tracking, a risk-based strategy and detailed change tracking. Integrate and use APIs to create a vendor-neutral, automated ecosystem for data consolidation throughout your application lifecycle. Choose the deployment option that best meets your needs for scalability and security.

All members of the team can perform robust automated testing on desktop, mobile, and web applications. This is regardless of whether they have any experience with functional test automation tools. Ranorex Studio is an all in one solution that provides codeless automation tools and a complete IDE. Ranorex Studio's industry-leading object recognition system and shareable object repository make it possible to automate GUI testing, regardless of whether you are using legacy applications or the latest mobile and web technologies. Ranorex Studio supports cross browser testing with integrated Selenium WebDriver integration. Easy data-driven testing can be done using CSV files, Excel spreadsheets, or SQL database files. Ranorex Studio supports keyword-driven testing. Our tools for collaboration enable test automation engineers to create reusable code modules, and share them with their team. Get a 30-day free trial to get started with automation testing.

Check out videos of real users of your website to find out. Get your first five user test results for free. Write down the tasks you want your users to complete on your website. To find the right users, you can choose from a variety of demographic factors. To hear users' thoughts and find out where they are stuck, collect videos. It can be time-consuming to analyze user testing videos. But, with our Collaborative Analysis suite it is quick and easy to turn user data into product action. Divide and conquer your results and then share key moments and findings to keep everyone on the same page. Collaborative Analysis is time-saving and encourages everyone to get involved in user data. Crowdsourcing can help you scale up your research! UXCrowd aggregates usability insights and ranks them with crowd voting. This allows you to immediately see which issues are most important to users. You can run more tests, identify the major issues faster, and then take action to improve your website using the wisdom of the crowd.

You can easily scan through traffic by highlighting content type, status, and source. Or, you can use powerful filtering tools that match your messages to the most important ones. With MDN inline explanations and docs, you can examine the URL, status, headers, and body of each request, or response. You can explore message bodies using highlighting and auto formatting for JSON HTML, JS, JS and other formats, all with the help of Monaco, the editor in Visual Studio Code. Match requests precisely, jump to them as they appear, and edit any information: the target URL or method, headers, body, or method. You can either respond manually to the requests as they arrive or pass them upstream. On the way back, pause and edit the actual response. Step through HTTP traffic request-by-request, or manually mock errors and endpoints. To quickly prototype against new services or endpoints, create rules that match requests.

RagaAI is a leading AI testing platform which helps enterprises to mitigate AI risks, and make their models reliable and secure. Intelligent recommendations will reduce AI risk across cloud or edge deployments, and optimize MLOps cost. A foundation model designed specifically to revolutionize AI testing. You can easily identify the next steps for fixing dataset and model problems. AI-testing methods are used by many today, and they increase time commitments and reduce productivity when building models. They also leave unforeseen risks and perform poorly after deployment, wasting both time and money. We have created an end-toend AI testing platform to help enterprises improve their AI pipeline and prevent inefficiencies. 300+ tests to identify, fix, and accelerate AI development by identifying and fixing every model, data and operational issue.

Squish is used by thousands of companies around the world to automate functional regression tests and system testing of their graphical user interfaces (GUIs) or human machine interfaces. Squish GUI Testing Tool is 100% cross-platform. Automated cross browser GUI testing for Web and HTML5 apps on desktop, mobile, and embedded platforms. Automated GUI Testing of native macOS apps, including embedded Webkit content.

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

Thundra helps application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud app debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production & production environments. Thundra offers 2 products: Thundra Foresight, to help you monitor & troubleshoot your CI workflows & tests. The second product is Thundra APM, which is an application performance monitoring for serverless and containers.

Discuro is an all-in-one platform that allows developers to quickly build, test and consume complex AI workflows. Our UI makes it easy to define your workflow. When you are ready to execute, just make one API call to Discuro with any inputs and any meta-data. You can use an Orchestrator to feed the generated data back into GPT-3. Integrate with OpenAI to extract the data you need quickly. In minutes, create and consume your own flows. Everything you need to integrate OpenAI at scale has been built by us so that you can concentrate on the product. Integrating with OpenAI is not easy. We'll help you extract the data you need by collecting input/output descriptions. You can easily chain completions together to create large data sets. You can use our iterative input feature for GPT-3 output to feed back in and have us make successive calls to expand your data set. Easy to build and test complex, self-transforming AI workflows and datasets.