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DatumBox VS Figure Eight

Compare DatumBox VS Figure Eight 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
Contents:
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DatumBox logo DatumBox

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.

Figure Eight logo Figure Eight

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.
  • DatumBox Landing page
    Landing page //
    2021-09-11
  • Figure Eight Landing page
    Landing page //
    2023-08-17

DatumBox videos

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Twitter Sentiment Analysis Using PHP With Datumbox API Key

More videos:

  • Review - Twitter Sentiment Analysis Using PHP With Datumbox API Key

Figure Eight videos

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https://www.youtube.com/watch?v=cPXEIK8N2iE

More videos:

  • Review - 5 Best Sites to Do Figure Eight Tasks to Earn the Most

Category Popularity

0-100% (relative to DatumBox and Figure Eight)

DatumBox

Figure Eight

Data Science And Machine Learning
32 32%
Data Science And Machine Learning
68% 68
Data Science Tools
32 32%
Data Science Tools
68% 68
Python Tools
33 33%
Python Tools
67% 67
Software Libraries
50 50%
Software Libraries
50% 50

User comments

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What are some alternatives?

When comparing DatumBox and Figure Eight, 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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