Products

LangSmith Observability gives you complete visibility into agent behavior. ‍ Trace your preferred framework or integrate LangSmith with any agent stack using our Python, Typescript, Go, or Java SDKs.

Retail AI insights and in-store analytics scorecard for retail stores at checkout.

Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Carbone is the most powerful turnkey solution to automate the generation of all your documents, reports and PDF. Low-code: no need to code to create your template. Use naturally and without constraint your Word, Excel, PowerPoint, LibreOffice, Google Docs, and much more. Save time using a straightforward API and one tool for everything: Invoices, Reports, Mail, … Golang, Python, PHP, Node.js and JavaScript SDK are available, and we provide easy integration with no-code tools on the market.

AWS Elastic Beanstalk is a fully managed service that simplifies the deployment and scaling of web applications and services. It supports applications developed in various languages, including Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. By uploading your code, Elastic Beanstalk automatically handles the provisioning of resources, load balancing, auto-scaling, and monitoring, allowing developers to focus on writing code without managing the underlying infrastructure. Key Features and

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-installed, enabling users to deploy and scale machine learning models efficiently on Google Cloud's infrastructure. Key Features and Functionality: - Pre-installed Frameworks: Support for TensorFlow Enterprise, TensorFlow, PyTorch, and generic high-performance computing, catering to various machine le

Deepnote is a new kind of data science notebook. Real-time collaboration, zero setup, and completely cloud-based.

Azure App Service is a fully managed platform-as-a-service (PaaS) offering from Microsoft Azure that enables developers to build, deploy, and scale web applications, APIs, and mobile backends efficiently. Supporting a wide range of programming languages and frameworks—including .NET, Java, Python, Node.js, PHP, and Ruby—Azure App Service allows for the creation of enterprise-grade applications without the complexities of managing the underlying infrastructure. It provides built-in capabilities s

PyTorch 0.3 Python 3.6 CPU Production is a pre-configured and fully integrated software stack that combines PyTorch 0.3, an open-source machine learning library, with Python 3.6. This stack provides a stable and tested execution environment optimized for CPU-based tasks, facilitating both training and inference processes. It is designed to support both short and long-running high-performance tasks and can be seamlessly integrated into continuous integration and deployment workflows. Key Featur

Codenvy makes developer workspaces instant. Leverage pre-built environments that support nearly every language and stack. Run it behind your firewall, connected to your systems and projects to remove configuration maintenance from development. Deploy it to your own datacenter or any cloud. Codenvy is based on Eclipse Che, an open source project and is available on-premises as well as white label and SaaS. Codenvy supports Java, JS, PHP, Python, Android and more.

Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizat

Pythagora is an AI-powered platform designed to streamline the development and deployment of web applications. It offers a user-friendly interface that enables both beginners and experienced developers to build, test, and deploy applications efficiently. With Pythagora, users can create frontend-only or full-stack applications, integrate databases, and manage deployments seamlessly. Key Features and Functionality: - Flexible Development Options: Supports the creation of both frontend-only and

An IWMS present in the Nordics and the UK, providing an easy-to-use and graphical platform for organizations handling multiple properties and/or square metres.

Pythagora is an AI-powered development tool that automates the creation of full-stack web applications through natural language interactions. By translating user-described app ideas into functional code, Pythagora streamlines the entire development lifecycle—from planning and coding to testing and deployment. This approach significantly reduces development time and costs, making application development accessible to both technical and non-technical users.

Most dropshippers don’t fail because of bad products. They fail because they don’t know their real numbers. Ad spend leaks. Losing products stay live. Scaling decisions are guesswork.

Flask is a lightweight and versatile web framework for Python, designed to facilitate the development of web applications by providing essential tools and libraries. It adheres to the WSGI (Web Server Gateway Interface) standard, ensuring compatibility with various web servers and applications. Flask's minimalist core allows developers to add extensions as needed, offering flexibility without imposing unnecessary dependencies. Key Features and Functionality: - WSGI Compliance: Flask implements

Spark SQL lets you query structured data inside Spark programs, using either SQL or a familiar DataFrame API. Usable in Java, Scala, Python and R.

The Anthropic SDK is a comprehensive suite of tools designed to facilitate the development of custom AI agents using the Claude language models. It offers developers a robust framework to build production-ready agents across various domains, including coding, business, and customer support. Key Features and Functionality: - Optimized Claude Integration: Ensures efficient interaction with Claude models through automatic prompt caching and performance enhancements. - Rich Tool Ecosystem: Provide

The "Caffe Python 3.6 NVidia GPU Production" is a pre-configured and fully integrated software stack designed for high-performance deep learning tasks. It combines the Caffe deep learning framework with Python 3.6, optimized to leverage NVIDIA GPUs for accelerated computation. This environment is tailored for both training and inference, providing a stable and production-ready platform for deploying deep learning models. Key Features and Functionality: - Caffe Framework Integration: Incorporat