10 Integrations with ML.NET

View a list of ML.NET integrations and software that integrates with ML.NET below. Compare the best ML.NET integrations as well as features, ratings, user reviews, and pricing of software that integrates with ML.NET. Here are the current ML.NET integrations in 2025:

  • 1
    TensorFlow

    TensorFlow

    TensorFlow

    An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
    Starting Price: Free
  • 2
    Microsoft Outlook
    Connect. Organize. Get things done. Email, calendar, contacts all in one place. Work efficiently with email, calendar, contacts, tasks, and more—together in one place. Office integration lets you share attachments right from OneDrive, access contacts, and view LinkedIn profiles. Book conference rooms and track RSVPs for meetings right from your calendar. Make plans and coordinate schedules by sharing calendars and seeing when your coworkers are available. Get peace of mind with enterprise-grade security trusted by many of the world’s largest organizations. Outlook works around the clock to protect your confidential information, without getting in your way. Outlook anticipates your needs. Travel and bill payments are automatically added to your calendar, and intelligent reminders help keep you on track. Search helps you find information quickly.
  • 3
    Microsoft Power BI
    Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres
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    Starting Price: $10 per user per month
  • 4
    Microsoft Defender Antivirus
    Microsoft Defender Antivirus is the next-generation protection component of Microsoft Defender for Endpoint. This protection brings together machine learning, big-data analysis, in-depth threat resistance research, and the Microsoft cloud infrastructure to protect devices in your enterprise organization. Your next-generation protection services include the following capabilities: Behavior-based, heuristic, and real-time antivirus protection, which includes always-on scanning using file and process behavior monitoring and other heuristics (also known as real-time protection). It also includes detecting and blocking apps that are deemed unsafe, but might not be detected as malware, cloud-delivered protection, which includes near-instant detection and blocking of new and emerging threats, dedicated protection and product updates, which includes updates related to keeping Microsoft Defender Antivirus up to date.
  • 5
    Bing

    Bing

    Microsoft

    Bing helps you turn information into action, making it faster and easier to go from searching to doing. Bing helps you turn information into action, making it faster and easier to go from searching to doing. As Bing continues to evolve, we’re focused on expanding the ways in which you can use Bing. For example, did you know that Bing powers InPrivate search with Microsoft Edge, quick searches in the Windows taskbar, work search scenarios with Microsoft 365, immersive gaming in Microsoft Flight Simulator, and much more? That’s why starting today, you will see a shift in product to Microsoft Bing, which reflects the continued integration of our search experiences across the Microsoft family. Beyond our commitment to expanding search scenarios, we also believe that you can and should get more value out of the searches you perform every day. That’s why we’re also excited to announce the expansion of Give with Bing, which helps you make a difference just by searching.
    Starting Price: Free
  • 6
    F#

    F#

    F#

    F# gives you simplicity and succinctness like Python with correctness, robustness and performance beyond C# or Java. F# is open source, cross-platform and free to use with professional tooling. F# is a JavaScript and .NET language for web, cloud, data-science, apps and more. Cloud computing relies on leveraging multiple integrated services. Using multiple services required a unique set of technologies and capabilities, and F# excels in this domain. With the recent rise of cloud solutions, it is becoming increasingly easy to deploy multiple services “in the cloud”, expanding what is possible both by storing large amounts of data and running heavy computations distributed across clusters of machines.
    Starting Price: Free
  • 7
    Google Cloud AutoML
    Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions. Use Cloud AutoML’s simple graphical user interface to train, evaluate, improve, and deploy models based on your data. You’re only a few minutes away from your own custom machine learning model. Google’s human labeling service can put a team of people to work annotating or cleaning your labels to make sure your models are being trained on high-quality data.
  • 8
    .NET

    .NET

    Microsoft

    Free. Cross-platform. Open source. A developer platform for building all your apps. Build native apps for Android, iOS, macOS and Windows from a single codebase. You can write your .NET apps in C#, F#, or Visual Basic. Your skills, code, and favorite libraries apply anywhere you use .NET. You can learn more about what .NET can do with these free videos. .NET is open source and we are very thankful for the many contributions it receives from the community.
    Starting Price: Free
  • 9
    C#

    C#

    Microsoft

    C# (also known as C Sharp, pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers. This tour provides an overview of the major components of the language in C# 8 and earlier. C# is an object-oriented, component-oriented programming language. C# provides language constructs to directly support these concepts, making C# a natural language in which to create and use software components. Since its origin, C# has added features to support new workloads and emerging software design practices. At its core, C# is an object-oriented language. You define types and their behavior.
    Starting Price: Free
  • 10
    ONNX

    ONNX

    ONNX

    ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Develop in your preferred framework without worrying about downstream inferencing implications. ONNX enables you to use your preferred framework with your chosen inference engine. ONNX makes it easier to access hardware optimizations. Use ONNX-compatible runtimes and libraries designed to maximize performance across hardware. Our active community thrives under our open governance structure, which provides transparency and inclusion. We encourage you to engage and contribute.
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