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Data Science Tools

The best Data Science Tools based on votes, our collection of reviews, verified products and a total of 80 factors
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  1. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

  3. OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

  4. NumPy is the fundamental package for scientific computing with Python

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

  6. 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.

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

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

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

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

  11. DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it's primarily used for social media analytics.

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

  13. MLKit is a simple machine learning framework written in Swift.

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