Software Alternatives & Reviews

Dataiku VS Nilearn

Compare Dataiku VS Nilearn 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.

Nilearn logo Nilearn

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data that leverages the scikit-learn Python toolbox for multivariate statistics.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Nilearn Landing page
    Landing page //
    2023-10-15

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

Nilearn videos

Nilearn Dev Days 2020: Sylvia Villeneuve & Carsen Stringer

More videos:

  • Review - Nilearn Dev Days 2020 - Scientific day, Sylvia Villeneuve

Category Popularity

0-100% (relative to Dataiku and Nilearn)
Data Science And Machine Learning
Data Science Tools
100 100%
0% 0
Machine Learning
0 0%
100% 100
Python Tools
100 100%
0% 0

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 Nilearn

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....

Nilearn Reviews

We have no reviews of Nilearn yet.
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Social recommendations and mentions

Based on our record, Nilearn seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

Nilearn mentions (2)

  • [D][R] Image pre-processing for quantitative analysis
    I don't know pyradiomics, it looks interesting. From personal experience I can also recommend the library nilearn (developed by scikit-learn core people) and nipype (and impressive interface to all neuroimaging toolboxes out there. Also, I forgot to mention sMRIprep which is fMRIprpe's little sibling but exclusively for anatomical/structural data. Plus, there's MRIQC, that can extract multiple quality parameters... Source: over 1 year ago
  • Any resources on CNN for neuroimaging?
    The toolbox that you probably might be most interested in is nilearn. It's co-developed by some guys from the scikit-learn team and contains many amazing machine learning routines. CNN might not be the only one you want to look into. Source: about 3 years ago

What are some alternatives?

When comparing Dataiku and Nilearn, 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.

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

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

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.

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

Microsoft Video API - Automatically extract metadata from video and audio files using Video Indexer. Improve the performance of your media content with Azure.