Software Alternatives & Reviews

Python Tools Software

The best Python Tools Software based on votes, our collection of reviews, verified products and a total of 246 factors

  1. 45

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

  2. 42

    NumPy is the fundamental package for scientific computing with Python

  3. 41

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

  4. 39

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

  5. 23

    Open source deep learning platform that provides a seamless path from research prototyping to...

  6. 28

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

  7. 24

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

  8. 23

    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.

  9. 16

    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.

  10. 16

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

  11. 17

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

  12. 14

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

  13. 12

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

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