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NumPy

NumPy is the fundamental package for scientific computing with Python

NumPy Alternatives

The best NumPy alternatives based on verified products, votes, reviews and other 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. Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

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

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

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

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

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

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

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

  13. DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.

NumPy Reviews

External sources with reviews and comparisons of NumPy

4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the...
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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Science And Machine Learning, Data Dashboard, Data Science Tools