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htm.java VS Oracle Data Science Platform

Compare htm.java VS Oracle Data Science Platform and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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htm.java logo htm.java

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.

Oracle Data Science Platform logo Oracle Data Science Platform

DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.
  • htm.java Landing page
    Landing page //
    2023-09-12
  • Oracle Data Science Platform Landing page
    Landing page //
    2022-11-08

htm.java

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website github.com
Edit details

Oracle Data Science Platform

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website oracle.com
Edit details

Category Popularity

0-100% (relative to htm.java and Oracle Data Science Platform)

htm.java

Oracle Data Science Platform

Data Science And Machine Learning
59 59%
Data Science And Machine Learning
41% 41
Data Science Tools
62 62%
Data Science Tools
38% 38
Python Tools
62 62%
Python Tools
38% 38
Software Libraries
100 100%
Software Libraries
0% 0

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What are some alternatives?

When comparing htm.java and Oracle Data Science Platform, you can also consider the following products

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

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

NumPy - NumPy is the fundamental package for scientific computing with Python

OpenCV - OpenCV is the world's biggest computer vision library

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

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

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