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DimML VS Adobe Sensei

Compare DimML VS Adobe Sensei and see what are their differences

LibHunt
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:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

DimML logo DimML

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

Adobe Sensei logo Adobe Sensei

Adobe Sensei harnesses data assets from high-resolution images to customer clicks all within a unified AI and machine learning framework.
  • DimML Landing page
    Landing page //
    2019-06-03
  • Adobe Sensei Landing page
    Landing page //
    2021-10-09

Category Popularity

0-100% (relative to DimML and Adobe Sensei)

DimML

Adobe Sensei

Data Science Tools
94 94%
Data Science Tools
6% 6
Python Tools
94 94%
Python Tools
6% 6
Data Science And Machine Learning
94 94%
Data Science And Machine Learning
6% 6
Software Libraries
50 50%
Software Libraries
50% 50

User comments

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What are some alternatives?

When comparing DimML and Adobe Sensei, 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.

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

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

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

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

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

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