What Integrates with ML.NET?
Find out what ML.NET integrations exist in 2025. Learn what software and services currently integrate with ML.NET, and sort them by reviews, cost, features, and more. Below is a list of products that ML.NET currently integrates with:
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1
TensorFlow
TensorFlow
Free 2 RatingsTensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process. -
2
Microsoft Outlook
Microsoft
48 RatingsMicrosoft Outlook, part of the Microsoft 365 suite, simplifies communication and organization by bringing your email, calendar, contacts, and tasks into a single, intelligent workspace. Designed for both personal and professional use, Outlook connects seamlessly with Gmail, iCloud, and other services for effortless management of multiple accounts. The integrated Copilot AI assistant streamlines your workflow by summarizing long email chains, prioritizing messages, and even suggesting polished replies. With shared calendars, to-do lists, and scheduling insights, Outlook makes managing work-life balance easier than ever. The platform’s cross-device syncing ensures that your inbox, meetings, and files stay updated on Windows, macOS, iOS, Android, and the web. Outlook’s built-in security protects against phishing, spam, and data breaches while offering encrypted email options for sensitive communication. Users can customize their experience with themes, rules, and add-ons, including apps like Power BI and Adobe Acrobat. Whether for individual productivity or enterprise collaboration, Outlook delivers a unified, secure, and intelligent communication hub. -
3
Microsoft Power BI
Microsoft
$10 per user per month 8 RatingsPower BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision. -
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Bing empowers users to convert information into actionable steps, streamlining the transition from searching to executing tasks more efficiently. As Bing undergoes further development, our emphasis lies in enhancing the variety of ways you can engage with the platform. For instance, you might not be aware that Bing fuels InPrivate searches in Microsoft Edge, facilitates quick searches via the Windows taskbar, supports work-related search tasks with Microsoft 365, enhances immersive gaming in Microsoft Flight Simulator, and offers many additional features. Consequently, beginning today, you will notice a shift in branding to Microsoft Bing, highlighting the ongoing integration of our search functionalities within the broader Microsoft ecosystem. In addition to our dedication to diversifying search applications, we are committed to ensuring that you gain increased value from your daily search activities. To that end, we are thrilled to unveil the expansion of Give with Bing, an initiative that enables you to contribute positively to your community simply by conducting searches. This development reflects our belief in the potential of technology to create meaningful impact with minimal effort.
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5
Microsoft Defender Antivirus
Microsoft
2 RatingsMicrosoft Defender, part of the Microsoft 365 security ecosystem, offers powerful yet simple protection for your digital life. It unifies identity, data, and device protection across all your personal and family devices, keeping you one step ahead of hackers and scammers. Defender scans the dark web for signs of compromised personal information and notifies you instantly if any risk is detected. With identity theft monitoring, credit tracking, and 24/7 restoration support, it helps minimize damage and recover stolen identities. The app’s coverage includes up to $1 million in identity restoration-related fees and $100,000 in lost funds protection. Families can monitor 60+ data types per member, ensuring broad coverage for adults and children alike. Defender’s cross-platform compatibility ensures consistent protection on Windows, Mac, iPhone, and Android, along with an intuitive web portal for managing alerts. Backed by Microsoft’s security intelligence, it integrates seamlessly with OneDrive and other 365 apps for end-to-end online safety. -
6
F#
F#
FreeF# offers a blend of simplicity and conciseness akin to Python, while also delivering correctness, robustness, and performance that surpasses that of C# or Java. It is an open-source and cross-platform language that comes at no cost, equipped with professional-grade tools. F# serves as a powerful language for web development, cloud computing, data science, applications, and more, seamlessly integrating with both JavaScript and .NET. In the realm of cloud computing, the ability to utilize multiple interconnected services is essential. This necessitates a distinctive combination of technologies and capabilities where F# truly shines. The growing popularity of cloud solutions has made it increasingly straightforward to deploy various services in the cloud, broadening the scope of possibilities by facilitating the storage of vast data sets and executing complex computations across distributed machine clusters. As more developers adopt F#, the potential for innovative cloud-based applications continues to expand dramatically. -
7
Google Cloud AutoML
Google
Cloud AutoML represents a collection of machine learning tools that allow developers with minimal expertise in the field to create tailored models that meet their specific business requirements. This technology harnesses Google's advanced transfer learning and neural architecture search methodologies. By utilizing over a decade of exclusive research advancements from Google, Cloud AutoML enables your machine learning models to achieve enhanced accuracy and quicker performance. With its user-friendly graphical interface, you can effortlessly train, assess, refine, and launch models using your own data. In just a few minutes, you can develop a personalized machine learning model. Additionally, Google’s human labeling service offers a dedicated team to assist in annotating or refining your data labels, ensuring that your models are trained on top-notch data for optimal results. This combination of advanced technology and user support makes Cloud AutoML an accessible option for businesses looking to leverage machine learning. -
8
.NET
Microsoft
FreeNo cost involved. Works across multiple platforms. Open-source software. A comprehensive development environment for creating applications. Develop native applications for Android, iOS, macOS, and Windows using just one codebase. You have the option to write your .NET applications in C#, F#, or Visual Basic. Your expertise, coding practices, and preferred libraries are applicable across all .NET environments. To discover more about the capabilities of .NET, check out these complimentary video resources. The open-source nature of .NET is greatly enhanced by the numerous contributions from the community, which we deeply appreciate. Additionally, this collaborative effort fosters innovation and continual improvement. -
9
C#
Microsoft
FreeC#, often referred to as "C Sharp," is a contemporary programming language characterized by its object-oriented and type-safe nature. This language allows developers to create a wide array of secure and efficient applications that operate within the .NET framework. With foundations in the C language family, programmers familiar with C, C++, Java, and JavaScript will find C# to be quite accessible. This guide offers a comprehensive overview of the essential elements of C# up to version 8. As an object-oriented and component-oriented language, C# includes specific constructs that facilitate the development and utilization of software components. Over time, C# has evolved by incorporating features that cater to new workloads and progressive software design methodologies. At its essence, C# embodies object-oriented principles, enabling developers to define types along with their associated behaviors while fostering a rich ecosystem for application development. The language continues to adapt and grow, ensuring its relevance in the ever-changing landscape of technology. -
10
ONNX
ONNX
ONNX provides a standardized collection of operators that serve as the foundational elements for machine learning and deep learning models, along with a unified file format that allows AI developers to implement models across a range of frameworks, tools, runtimes, and compilers. You can create in your desired framework without being concerned about the implications for inference later on. With ONNX, you have the flexibility to integrate your chosen inference engine seamlessly with your preferred framework. Additionally, ONNX simplifies the process of leveraging hardware optimizations to enhance performance. By utilizing ONNX-compatible runtimes and libraries, you can achieve maximum efficiency across various hardware platforms. Moreover, our vibrant community flourishes within an open governance model that promotes transparency and inclusivity, inviting you to participate and make meaningful contributions. Engaging with this community not only helps you grow but also advances the collective knowledge and resources available to all.
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