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Dataiku VS Mahotas

Compare Dataiku VS Mahotas and see what are their differences

Dataiku logo Dataiku

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

Mahotas logo Mahotas

Mahotas is a computer vision and image processing library for Python.
  • Dataiku Landing page
    Landing page //
    2023-08-17
Not present

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Mahotas videos

12. Working with Mahotas and Jupyter

More videos:

  • Review - Mocambicano a empinar de bike nas mahotas

Category Popularity

0-100% (relative to Dataiku and Mahotas)
Data Science And Machine Learning
Python Tools
89 89%
11% 11
Data Science Tools
100 100%
0% 0
Software Libraries
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and Mahotas

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Mahotas Reviews

10 Python Libraries for Computer Vision
Mahotas is a computer vision library that focuses on speed and efficient memory usage. It includes a variety of features for image processing, such as edge detection, texture analysis, and feature extraction. Mahotas is particularly useful for projects requiring real-time image analysis.
Source: clouddevs.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Mahotas is another image processing and computer vision library that was designed for bioimage informatics. It reads and writes images in NumPy array, and is implemented in C++ with a smooth python interface.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Mahotas is a Python library for image processing and computer vision that was originally designed for bioimage Informatics. But other computer vision tasks can be performed using it as well. It is originally written in C++ which makes it pretty fast and it has no dependencies other than NumPy.
Top Python Libraries For Image Processing In 2021
Mahotas It is another open-source python library for computer vision and image processing. It was designed for biometric informatics. It provides many algorithms which are written in C++ for speed with a good python interface. It read and writes images in NumPy arrays.

What are some alternatives?

When comparing Dataiku and Mahotas, 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.

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

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

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

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

pgmagick - Yet Another Python wrapper for GraphicsMagick