Best Microsoft Recommendations API Alternatives & Competitors in 2024

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Open Source

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Open Source

Elegant user management, tailor-made for B2B SaaS

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Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Open Source

python-recsys is a python library for implementing a recommender system.

Open Source

Train custom ML models with minimum effort and expertise

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

Real-time personalization and recommendation engine in AWS

Open Source

Show users intelligent search suggestions with the Bing Autosuggest API from Microsoft Azure. Test out the autocomplete API to see how it works.

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

Open Source

Unity is the ultimate game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.

Open Source