Google CLOUD AUTOML Alternatives

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.

Elegant user management, tailor-made for B2B SaaS

Try for free freemium

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Open Source

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.

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

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

A high-level language and interactive environment for numerical computation, visualization, and programming

RStudio™ is a new integrated development environment (IDE) for R.

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

Open Source

Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.