Best AWS Personalize Alternatives & Competitors in 2025

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

Open Source

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.

Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface.

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

Open Source

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

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

Open Source

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

Open Source

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

Obtains details of a cached recommendation.

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

Open Source

WEKA is a set of powerful data mining tools that run on Java.

Crab is a Python framework for building recommender engines.

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

Open Source

Train custom ML models with minimum effort and expertise