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MLJAR VS Dataiku

Compare MLJAR VS Dataiku 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:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

MLJAR logo MLJAR

MLJAR is a predictive analytics platform that facilitates machine learning algorithms search and tuning.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • MLJAR Landing page
    Landing page //
    2023-06-14
  • Dataiku Landing page
    Landing page //
    2023-08-17

MLJAR videos

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

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Dataiku videos

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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

Category Popularity

0-100% (relative to MLJAR and Dataiku)

MLJAR

Dataiku

Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Data Science Tools
6 6%
Data Science Tools
94% 94
AI
100 100%
AI
0% 0
Python Tools
0 0%
Python Tools
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 MLJAR and Dataiku

MLJAR Reviews

We have no reviews of MLJAR yet.
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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

Social recommendations and mentions

Based on our record, MLJAR seems to be more popular. It has been mentiond 3 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.

MLJAR mentions (3)

  • [P] Build data web apps in Jupyter Notebook with Python only
    Sure, at the bottom of our website you can subscribe for newsletter. Source: about 1 year ago
  • Data Science and full-stack-web development
    In my case, I had experience in DS and software engineering. It gives me ability to start a company that works on Data Science tools. Source: about 2 years ago
  • [D] Bring your own data AI SaaS service for non-programmers?
    Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ). Source: over 2 years ago

Dataiku mentions (0)

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

What are some alternatives?

When comparing MLJAR and Dataiku, you can also consider the following products

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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

Teachable Machine - Easily create machine learning models for your apps, no coding required.

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

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