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Dataiku VS pgmagick

Compare Dataiku VS pgmagick 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:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

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

pgmagick logo pgmagick

Yet Another Python wrapper for GraphicsMagick
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • pgmagick Landing page
    Landing page //
    2023-03-11

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

pgmagick

Website
pypi.org
Pricing URL
-
Release Date
-
Edit details

Dataiku videos

+ Add

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

pgmagick videos

No pgmagick videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Dataiku and pgmagick)

Dataiku

pgmagick

Data Science And Machine Learning
94 94%
Data Science And Machine Learning
6% 6
Python Tools
92 92%
Python Tools
8% 8
Data Science Tools
97 97%
Data Science Tools
3% 3
Software Libraries
0 0%
Software Libraries
100% 100

User comments

Share your experience with using Dataiku and pgmagick. For example, how are they different and which one is better?
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Reviews

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

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.
Source: searchbusinessanalytics.techtarget.com
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....
Source: solutionsreview.com

pgmagick Reviews

Top 8 Image-Processing Python Libraries Used in Machine Learning
Pgmagick is a GraphicsMagick binding for Python that provides utilities to perform on images such as resizing, rotation, sharpening, gradient images, drawing text, etc.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pgmagick is a Python wrapper for GraphicsMagick which is the collection of tools and libraries for the manipulation of images. It supports more than 88 formats of image. Other than image processing work it can also be used in web applications for creating new images.
Source: towardsdatascience.com

What are some alternatives?

When comparing Dataiku and pgmagick, 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.

Mahotas - Mahotas is a computer vision and image processing library for Python.

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

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

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