Best DEAP Alternatives & Competitors in 2024

GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

NumPy is the fundamental package for scientific computing with Python

Open Source

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

Open Source

The DimML programming language enables users to run any data solution on any website with only a single line of code.

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

Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.

OpenCV is the world's biggest computer vision library

Open Source

Feature Forge offers a set of tools for creating and testing machine learning features.

Open Source

Heroku for deep learning

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Open Source

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Open Source

SuperLearner is a R package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Open Source freemium