Best Oracle Data Science Platform Alternatives & Competitors in 2024

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

Open Source

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

Open Source

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NumPy is the fundamental package for scientific computing with Python

Open Source

OpenCV is the world's biggest computer vision library

Open Source

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.

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

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

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

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

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