LangSmith Alternatives

Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.

Tired of seeing bugs or poor UX go unnoticed despite hours of internal testing ? Test your mobile or web app with your audience. Testeum is a SaaS app crowdtesting platform which connects mobile or web app creators with a crowd of testers selected through specific criteria. - Studies are possible from prototype to production application. - Go with our self managed solution or rely on our professionnal services. - Cherry-pick your audience through multiple criteria and environments. - Get your UX or functional tests campaign ready in a matter of minutes. - Get real time test report as soon as your campaign is launched. - Your campaign will get results in a couple hours. - Share the results through your favorite bug tracker or automation tool. - Get a comprehensive report with the users expectations. Testeum is meant to be easy to use, and compatible with agile practices. Don't guess what your users expect, just know.

Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.

ZAPTEST is a leading Free and Enterprise software test automation and RPA tool. Offerings include Computer Vision technology that allows for Cross-Platform digital interface automation for UI, API, Load testing, and RPA in a seamless process. Combine that with our 1SCRIPT methodology, seamless automation, parallel execution, and unlimited licenses– you get an efficient testing suite that generates up to 10X ROI. We promise that if you can perform a procedure via any digital interface (live application or mockup) manually, ZAPTEST can automate this procedure As-Is! With ZAPTEST’s Enterprise Solution subscription program, you receive unlimited licenses across the entire organization. Regardless of whether your automation needs increase, your cost remains fixed. FARM allows ZAPTEST users to manage all of their devices so you can remotely control cross-environments and projects from any location. ZAPTEST uses many practical applications to enhance its software testing software capabilities

Scout Monitoring is Application Performance Monitoring (APM) that finds what you can't see in charts. Scout APM is application performance monitoring that streamlines troubleshooting by helping developers find and fix performance issues before customers ever see them. With real-time alerting, a developer-centric UI, and tracing logic that ties bottlenecks directly to source code, Scout APM helps you spend less time debugging and more time building a great product. Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead. Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications.

Remote logger, crash reporter and in-app user feedback Bugfender is a log storage service for application developers. Bugfender collects everything happening in the application, even if it doesn’t crash, in order to reproduce and resolve bugs more effectively and provide better customer support. Bugfender respects your user's privacy, is battery and network efficient and keeps logging even if the device is offline. Track and destroy bugs before users even notice. Bugfender logs all bugs on all devices and sends the results in seconds - enabling you to find and fix bugs before your users even get an error message. Achieve 5-Star Ratings. Bugfender doesn’t just log bugs and crashes. It logs all the information you’ll ever need so you can build a clear picture of your users and earn those crucial five-star ratings. Deliver world-class customer service. Our logging tool enables you to target individual users and provide personalized customer support.

Long-term memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.

Build, deploy, and scale end-to-end AI applications in the cloud. Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime. 🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. ☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started. 🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud. 📈 Automatically scale workloads to fit your needs.

Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data

Bugwolf rapidly reviews your websites, web and mobile applications to discover software glitches before your customers do. Typically, Bugwolf can turn around a testing cycle in 48-hours. For best results, most of our clients schedule in regular testing cycles at specific milestones throughout a project. This ensures more bugs are found earlier which can streamline the coding process for development teams. And prevent bigger headaches closer to launch. When your development teams are working toward a product launch deadline, they are often stretched to the limit on their core focus of system design and coding. Making tired developers stay back late to do testing isn’t great for team morale and often results in bugs slipping through. Save your team the hassle and hire professionals to do it right. Having fresh eyes who understand the testing process is vital before launch to ensure the product your ship is the best it can be.

In order to start catch crashes which can appear in you Android or iOS applications, you need to integrate EasyQA Software Development Kit with the code of your apps. To download SDK and find full instructions on connecting it to a project, you can open the Integrations page within your project in EasyQA Test Management Tool. When you connect the SDK to your project, use the generated token and initialize it in the application class of your project. After that you can create your app’s build and upload it in Test Objects within your project in EasyQA and your application starts to send crashes to the service. After you have added our EasyQA SDK into your project and uploaded it to Test Objects within your project in EasyQA, you can track your app’s crashes on our website. You just need to download the app to any Android or iOS device and start testing. When there is a crash, reboot the app and press Upload button.

Current approaches to software testing are outdated, inefficient, and costly, leading to reliability problems and wasted engineering effort. Antithesis is a completely new approach to testing and debugging. Your team will spend less time testing and more time building your software. Our platform continuously searches your software for problems, within a simulated environment where every problem can be perfectly reproduced, enabling efficient debugging of the most complex issues. Antithesis is a cloud platform that continuously tests the reliability of software systems. As your developers write code, they push their software (as container images) to Antithesis. We run your software under a variety of conditions and report any unintended behavior. We test your system against a multitude of predefined properties and also offer an SDK for defining additional test properties specific to your system.

Developer-centric tool to monitor and improve AI features powered by LLMs and other foundation models. Our simple SDK gives you an intuitive and actionable view of how your generative AI applications are performing in production. Integrate LLM management into your existing codebase and developer workflow. Use our fine-grained access controls and audit logs to maintain full control over your data. Derive actionable insights on how to improve LLM user interactions. Not only are these teams best-equipped to integrate these new capabilities into existing software products, but their proclivity to deploy, iterate, and improve will also be ever more pertinent going forward. As software becomes increasingly malleable, we believe engineering teams will be the driving force behind turning that malleability into delightful and hyper-personalized user experiences. Developers will be at the center of the generative AI revolution.

Intuitively build your RAG system with fewer abstractions compared to solutions like LangChain. Choose from a wide range of hosted and remote providers for vector databases, datasets, Large Language Models (LLMs), application integrations, and more. Use SciPhi to version control your system with Git and deploy from anywhere. The platform provided by SciPhi is used internally to manage and deploy a semantic search engine with over 1 billion embedded passages. The team at SciPhi will assist in embedding and indexing your initial dataset in a vector database. The vector database is then integrated into your SciPhi workspace, along with your selected LLM provider.

We believe that the most powerful and differentiated applications will not only call out to a language model via an API. There are several main modules that LangChain provides support for. For each module we provide some examples to get started, how-to guides, reference docs, and conceptual guides. Memory is the concept of persisting state between calls of a chain/agent. LangChain provides a standard interface for memory, a collection of memory implementations, and examples of chains/agents that use memory. Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.

Guardrails are crucial in AI maintenance, LangWatch safeguards you and your business from exposing sensitive data, prompt injection and keeps your AI from going off the rails, avoiding unforeseen damage to your brand. Understanding the behaviour of both AI and users can be challenging for businesses with integrated AI. Ensure accurate and appropriate responses by constantly maintaining quality through oversight. LangWatch’s safety checks and guardrails prevent common AI issues including jailbreaking, exposing sensitive data, and off-topic conversations. Track conversion rates, output quality, user feedback and knowledge base gaps with real-time metrics — gain constant insights for continuous improvement. Powerful data evaluation allows you to evaluate new models and prompts, develop datasets for testing and run experimental simulations on tailored builds.

Build reliable and optimized code for the right results on multiple Server and HPC architectures, from the latest compilers and C++ standards to Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge combines Arm DDT, the leading debugger for time-saving high-performance application debugging, Arm MAP, the trusted performance profiler for invaluable optimization advice across native and Python HPC codes, and Arm Performance Reports for advanced reporting capabilities. Arm DDT and Arm MAP are also available as standalone products. Efficient application development for Linux Server and HPC with Full technical support from Arm experts. Arm DDT is the debugger of choice for developing of C++, C, or Fortran parallel, and threaded applications on CPUs, and GPUs. Its powerful intuitive graphical interface helps you easily detect memory bugs and divergent behavior at all scales, making Arm DDT the number one debugger in research, industry, and academia.

The entire process of building machine learning algorithms and predicting outcomes, packed in one single click. Not all data is built to be ready for ML, use the Data Dialog to seamlessly shape your dataset without wrangling your files. Share your prediction reports with your team or make them public. Allow anyone to start making predictions on your model. Bring dynamic ML predictions into your own app using our low-code API. Predict willingness to pay, score leads and much more in real-time. Obviously AI puts the world’s most cutting-edge algorithms in your hands, without compromising on performance. Forecast revenue, optimize supply chain, personalize marketing. You can now know what happens next. Add a CSV file OR integrate with your favorite data sources in minutes. Pick your prediction column from a dropdown, we'll auto build the AI. Beautifully visualize predicted results, top drivers and simulate "what-if" scenarios.

Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!

BMC Compuware Xpediter is a family of debuggers and interactive analysis tools for COBOL, Assembler, PL/I, and C programs that helps developers quickly understand applications, make changes, and fix problems in a secure environment—even if they’re unfamiliar with the source code. Xpediter enables developers to get into an interactive test session with minimal effort and quickly move applications into production with greater confidence. See line-by-line code execution and control all aspects of program execution and data. Use Code Coverage to see proof of execution and view metrics on multi-platform applications. Access Abend-AID diagnostic capabilities from within a debugging session. See a graphical view of source code through an integration with Topaz for Program Analysis. Leverage Topaz for Total Test for building a comprehensive portfolio of automated virtualized test cases. Intercept and debug mainframe transactions initiated remotely.

Instabug provides in-app feedback and bug reporting to mobile apps. After integrating the SDK, it allows you to have seamless two-way communication with users or testers while providing detailed environment report for developers. The integration process takes less than a minute and the results are outstanding! The top apps in the world rely on Instabug. We provide exceptional support 24/7 and is constantly rated highly as a bug reporting & tracking tool. Expand your mobile team's understanding of performance and user experience to enable faster fix times, precise performance metrics and error prioritization. With visibility into 100% of user sessions, quickly prioritize to focus on the issues that matter most to you and your user’s experience. Quickly integrate instabug to your apps with a single line of code. Instabug enables your team to find the balance between new feature development and stability.

Quickly find performance bottlenecks and visualize what is going on in a complex C/C++ application. Orbit is a standalone profiler and debugging tool for Windows and Linux. Its main purpose is to help developers understand and visualize the execution flow of a complex application. By giving a bird’s eye view of what is happening under the hood, Orbit gives the developer a deeper understanding of complex systems and allows them to quickly find performance bottlenecks. Orbit works out of the box on any C/C++ application, as long as it has access to the Pdb file. Start profiling as soon as you finish downloading Orbit. Orbit injects itself into the target process and hooks into selected functions. It works even on your highly optimized final/shipping builds. Sampling is great when you don’t know where to start looking. Orbit’s sampling is fast, robust, and “always on”. Orbit combines sampling and dynamic instrumentation to optimize the profiling workflow.

Xdebug is an extension for PHP, and provides a range of features to improve the PHP development experience. A way to step through your code in your IDE or editor while the script is executing. An improved var_dump() function, stack traces for notices, warnings, errors, and exceptions to highlight the code path to the error. Writes every function call, with arguments and invocation location to disk. Optionally also includes every variable assignment and return value for each function. Allows you, with the help of visualization tools, to analyze the performance of your PHP application and find bottlenecks. Shows which parts of your code base are executed when running unit tests with PHPUnit. Installing Xdebug with a package manager is often the fastest way. You can substitute the PHP version with the one that matches the PHP version that you are running. You can install Xdebug through PECL on Linux & macOS with Homebrew.

Build, evaluate, deploy, and refine custom natural language processing models. Empower your team to automate workflows without hiring an AI expert team and costly infra. Metatext simplifies the process of creating customized AI/NLP models, even without expertise in ML, data science, or MLOps. With just a few steps, automate complex workflows, and rely on intuitive UI and APIs to handle the heavy work. Enable AI into your team using a simple but intuitive UI, add your domain expertise, and let our APIs do all the heavy work. Get your custom AI trained and deployed automatically. Get the best from a set of deep learning algorithms. Test it using a Playground. Integrate our APIs with your existing systems, Google Spreadsheets, and other tools. Select the AI engine that best suits your use case. Each one offers a set of tools to assist creating datasets and fine-tuning models. Upload text data in various file formats and annotate labels using our built-in AI-assisted data labeling tool.

Native support for ChatGPT and LangChain. Bing, HuggingFace and more coming soon. Add your API documentation manually or import an existing OpenAPI specification. Access the request prompt, parameters, headers, body and more. Inspect detailed live metrics about how your plugin is performing, including latencies, errors, and more. Configure your own dashboards, track funnels and aggregated metrics.

Your platform for developing generative AI solutions and custom copilots. Build solutions faster, using pre-built and customizable AI models on your data—securely—to innovate at scale. Explore a robust and growing catalog of pre-built and customizable frontier and open-source models. Create AI models with a code-first experience and accessible UI validated by developers with disabilities. Seamlessly integrate all your data from OneLake in Microsoft Fabric. Integrate with GitHub Codespaces, Semantic Kernel, and LangChain. Access prebuilt capabilities to build apps quickly. Personalize content and interactions and reduce wait times. Lower the burden of risk and aid in new discoveries for organizations. Decrease the chance of human error using data and tools. Automate operations to refocus employees on more critical tasks.

Perform More Testing in Less Time to Meet Performance Demands Hiperstation provides automated load, performance and regression testing capabilities that help DevOps teams perform more testing in less time and on a more consistent basis while ensuring applications meet production performance and reliability criteria. Hiperstation enables developers to create automated, consistent, repeatable regression and performance tests representing application business requirements. Conduct pre-production performance testing for applications and systems software. Analyze test results in which all application response differences are identified. Thoroughly document mainframe application testing results. Simulate server application responses during a user interface test. Test operating system, language environment or subsystem changes. Test application changes without a user interface.

IBM® Rational® Performance Tester helps software testing teams test earlier and more frequently as part of a DevOps approach. It validates the scalability of web and server applications, identifies the presence and cause of system performance bottlenecks and reduces load testing. Your software testing teams can quickly execute performance tests that analyze the impact of load on applications. Focuses the testing team on validating the scalability of applications rather than using a complicated test tool. Combines optimal access to underlying protocol data and remote system statistics with the ability to insert custom Java code. Builds on open standards and shared user experiences to integrate project team members. IBM Rational Performance Tester on Cloud enables large-scale and globally distributed performance testing. Rational Performance Tester generates performance and throughput reports in real-time, offering awareness of performance problems at any time during a test.

Want to save money and time of your QA with automatic website testing? Get a powerful assistant that will help you keep track and test your clients' websites performance in various browsers, browser versions, and platforms. Comparium allows performing screenshot tests of the pages that require a user to be logged in. Enter the username and password of the web resource that is protected with Basic/HTTP authentication and run cross-browser testing with just a single click. First version of Comparium is a convenient web application that offers users basis that they need for their website testing. Test your web page design on any operating system and browser combination. Save your time, as thanks to our service, there is no need to test for each combination manually. Website test has never been easier, just simply submit the web page test address and check the results. The service will provide you with the screenshots of your web page design.

Revamp your test plan development, execute with speed, scale, and ease with open and modular software. Leverages OpenTAP open source test automation sequencing engine. Application development tools for OpenTAP developers. Scalable, modular plug-in architecture provides specific features tailored to your applications. Graphical user interfaces for test plan development, optimization, and management. Bring your ideas to life using integrated design and simulation software. Test sequencer software with timing analyzer, result viewer, and other useful tools for test automation development. Build custom test steps for PathWave Test Automation using Keysight Command Expert. Easily create switch connections with a graphical editor for test steps.

Confident AI offers an open-source package called DeepEval that enables engineers to evaluate or "unit test" their LLM applications' outputs. Confident AI is our commercial offering and it allows you to log and share evaluation results within your org, centralize your datasets used for evaluation, debug unsatisfactory evaluation results, and run evaluations in production throughout the lifetime of your LLM application. We offer 10+ default metrics for engineers to plug and use.

At Eggplant we empower organizations to create amazing digital experiences. We help businesses to test, monitor and analyze their end-to-end customer experience and continuously improve their business outcomes. Companies worldwide use Eggplant to surpass competitors, boost productivity, and delight customers. How? By dramatically enhancing the quality, responsiveness, and performance of their software applications across different interfaces, platforms, browsers, and devices - including mobile, IoT, and desktop — in agile, DevOps, and innovative application and data environments. As software release cycles accelerate, manual testing can't keep up. AI automatically discovers user journeys, hunts for bugs and performs image-based UI tests from the user POV. Build better software with fast, broad, accurate AI-powered testing. To keep up with DevOps, continuous testing is key, streamlining development and automating the testing process.

Initially all tests for Apache Ant tasks were written as individual JUnit test cases. Pretty soon it was clear that most tests needed to perform common tasks like reading a build file, initializing a project instance with it and executing a target. At this point BuildFileTest was invented, a base class for almost all task test cases. BuildFileTest works fine and in fact has been picked up by the Ant-Contrib Project and others as well. This approach has a couple of advantages, one of them is that it is very easy to translate an example build file from a bug report into a test case. If you ask a user for a testcase for a given bug in Ant, he now doesn't need to understand JUnit or how to fit a test into Ant's existing tests any more. AntUnit takes this approach to testing even further, it removes JUnit completely and it comes with a set of predefined <assert> tasks in order to reuse common kind of checks.

Use Prompt Mixer to create prompts and chains. Combinе your chains with datasets and improve with AI. Develop a comprehensive set of test scenarios to assess various prompt and model pairings, determining the optimal combination for diverse use cases. Incorporate Prompt Mixer into your everyday tasks, from creating content to conducting R&D. Prompt Mixer can streamline your workflow and boost productivity. Use Prompt Mixer to efficiently create, assess, and deploy content generation models for various applications such as blog posts and emails. Use Prompt Mixer to extract or merge data in a completely secure manner and easily monitor it after deployment.

Firebase Test Lab is a cloud-based app testing infrastructure that lets you test your app on a range of devices and configurations, so you can get a better idea of how it'll perform in the hands of live users. Test Lab uses real, production devices running in a Google data center to test your app. The devices are flashed with updated APIs and have customizable locale settings, allowing you to road-test your app on the hardware and configurations it'll encounter in real-world use. Run your test using our available tools. Depending on the size of your test matrix, it can take several minutes for Test Lab to run your tests. After your tests finish, you can see the results in the Firebase console. Using one of our integrated tools, define your test matrix by selecting a set of devices, OS versions, locales, and screen orientations. If necessary, modify your test to run on Test Lab. Build and package your app, then upload it to Firebase.

Empower everyone on the team to perform robust automated testing on desktop, web and mobile applications, regardless of their experience with functional test automation tools. Ranorex Studio is an all-in-one solution that includes tools for codeless automation as well as a full IDE. With our industry-leading object recognition and shareable object repository, Ranorex Studio makes it possible to automate GUI testing for even the most challenging interfaces, from legacy applications to the latest web and mobile technologies. Ranorex Studio supports cross-browser testing with built-in Selenium WebDriver integration. Perform effortless data-driven testing using CSV files, Excel spreadsheets or SQL database files as input. Ranorex Studio also supports keyword-driven testing: our tools for collaboration allow test automation engineers to build reusable code modules and share them with the team. Download our free 30-day trial for a risk-free start to test automation.

OpenText™ ALM Quality Center serves as the single pane of glass for software quality management. It helps you govern application lifecycle management activities and implement rigorous, auditable lifecycle processes. Leverage the reusability, traceability, and automation of ALM tools to improve efficiency in developing, testing, and maintaining applications. Automate result collection and gain real-time visibility into application quality, eliminating time-consuming and error-prone human processes. Enforce standard process with built-in ALM workflows and templates. Ensure compliance with detailed change tracking and a risk-based approach. Build an automated, vendor-neutral ecosystem for data consolidation across your application lifecycle with out-of-the-box integrations and APIs. Meet your scalability, security, and application architecture requirements with the deployment option of your choice – on-premises, cloud, or SaaS.

Watch videos of real people using your website and find out. Get your first 5 user test results free. Write a list of tasks you want users to perform on your website. Choose from a wide array of demographic factors to find the right users. Collect videos to hear what users are thinking and see where they’re getting stuck. Analyzing user testing videos is a time-consuming process, but with our Collaborative Analysis suite, turning user data into product action is fast and easy. Divide and conquer your results, then share key moments and findings efficiently to keep the team up to speed. Collaborative Analysis saves time and gets everyone engaged directly in user data. Scale up your research with crowdsourcing! The UXCrowd aggregates and ranks usability insights with crowd voting, so you can immediately see which issues were most important to users. Run more tests, find the big issues faster, and take action to improve your website, aided by the wisdom of the crowd.

RagaAI is the #1 AI testing platform that helps enterprises mitigate AI risks and make their models secure and reliable. Reduce AI risk exposure across cloud or edge deployments and optimize MLOps costs with intelligent recommendations. A foundation model specifically designed to revolutionize AI testing. Easily identify the next steps to fix dataset and model issues. The AI-testing methods used by most today increase the time commitment and reduce productivity while building models. Also, they leave unforeseen risks, so they perform poorly post-deployment and thus waste both time and money for the business. We have built an end-to-end AI testing platform that helps enterprises drastically improve their AI development pipeline and prevent inefficiencies and risks post-deployment. 300+ tests to identify and fix every model, data, and operational issue, and accelerate AI development with comprehensive testing.

The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.

Skim through traffic with highlighting by content type, status & source, or use powerful filtering tools to precisely match the messages that matter to you. Examine the URL, status, headers & body of each request or response, with inline explanations & docs from MDN. Dig into message bodies with highlighting & auto formatting for JSON, HTML, JS, hex and others, all using the power of Monaco, the editor from Visual Studio Code. Precisely match requests, jump to them when they appear, and edit anything: the target URL, method, headers or body. Manually respond directly to requests as they arrive, or pass them upstream, and pause & edit the real response on the way back. Step through HTTP traffic request by request, or manually mock endpoints and errors. Create rules to match requests and respond with your own content, to quickly prototype against new endpoints or services.

Discuro is the all-in-one platform for developers looking to easily build, test & consume complex AI workflows. Define your workflow in our easy-to-use UI, and when you're ready to execute, simply make one API call to us, with your inputs, any meta-data, and we'll do the rest. Use an Orchestrator to feed generated data back into GPT-3. Reliably integrate with OpenAI and extract the data you need with ease. Create & consume your own flows in minutes. We've built everything you need to integrate with OpenAI, at scale, so you can focus on the product. The first challenge in integrating with OpenAI is extracting the data you need, we'll handle this for you by collecting input/output definitions. Easily chain completions together to build large data sets. Use our iterative input feature to feed GPT-3 output back in, and have us make consecutive calls to expand your data set, and much more. Easily build & test complex self-transforming AI workflows & datasets.

Bring LLM-powered features to production with tools for prompt engineering, semantic search, version control, quantitative testing, and performance monitoring. Compatible across all major LLM providers. Quickly develop an MVP by experimenting with different prompts, parameters, and even LLM providers to quickly arrive at the best configuration for your use case. Vellum acts as a low-latency, highly reliable proxy to LLM providers, allowing you to make version-controlled changes to your prompts – no code changes needed. Vellum collects model inputs, outputs, and user feedback. This data is used to build up valuable testing datasets that can be used to validate future changes before they go live. Dynamically include company-specific context in your prompts without managing your own semantic search infra.

Minerva is our proprietary AI platform that we use internally to build AI applications that perform real-world tasks requiring human-level understanding and explainability. As Minerva’s reach grows through the deployment of domain-specific AI applications, Minerva compounds knowledge, performs increasingly general tasks and connects interdisciplinary dots humans cannot. We use these powerful components to build our scalable AI applications such as Argus and Supernova. Use Minerva to build your own AI workforce and transcend information complexity to make more accurate mission-critical decisions at lightning speed. Minerva enables natural user interaction with various dashboards and APIs for consuming insight, providing feedback and securely integrating Accrete’s AI applications into existing enterprise workflows.

Squish is the tool of choice for several thousand companies worldwide to automate the functional regression tests and system tests of their graphical user interface (GUIs) and human machine interfaces (HMIs). The Squish GUI testing tool, a 100% cross-platform tool, features. Automated cross-browser GUI testing for Web and HTML5 applications on desktop, mobile and embedded platforms. Automated GUI Testing for native macOS applications including support for embedded Webkit content.

Thundra is a developer platform company that empowers application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production and production environments

Whether you're building AI chatbots, virtual assistants, or other intelligent applications, set up your workspace effortlessly by integrating GPT-powered language models with your provider keys for unparalleled performance. Accelerate the creation of your diverse AI applications using LLM Spark's GPT-driven templates or craft unique projects from the ground up. Test & compare multiple models simultaneously for optimal performance across multiple scenarios. Save prompt versions and history effortlessly while streamlining development. Invite members to your workspace and collaborate on projects with ease. Semantic search for powerful search capabilities to find documents based on meaning, not just keywords. Deploy trained prompts effortlessly, making AI applications accessible across platforms.

Use BenchLLM to evaluate your code on the fly. Build test suites for your models and generate quality reports. Choose between automated, interactive or custom evaluation strategies. We are a team of engineers who love building AI products. We don't want to compromise between the power and flexibility of AI and predictable results. We have built the open and flexible LLM evaluation tool that we have always wished we had. Run and evaluate models with simple and elegant CLI commands. Use the CLI as a testing tool for your CI/CD pipeline. Monitor models performance and detect regressions in production. Test your code on the fly. BenchLLM supports OpenAI, Langchain, and any other API out of the box. Use multiple evaluation strategies and visualize insightful reports.

From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend. With Sentry’s performance monitoring you can trace performance issues to poor-performing api calls and slow database queries. Source code, error filters, stack locals — Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s).

Klu.ai is a Generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. Klu integrates with your preferred Large Language Models, incorporating data from varied sources, giving your applications unique context. Klu accelerates building applications using language models like Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, allowing rapid prompt/model experimentation, data gathering and user feedback, and model fine-tuning while cost-effectively optimizing performance. Ship prompt generations, chat experiences, workflows, and autonomous workers in minutes. Klu provides SDKs and an API-first approach for all capabilities to enable developer productivity. Klu automatically provides abstractions for common LLM/GenAI use cases, including: LLM connectors, vector storage and retrieval, prompt templates, observability, and evaluation/testing tooling.