Software Alternatives, Accelerators & Startups
Register | Login

ml.js VS Dataiku

Compare ml.js VS Dataiku and see what are their differences

Docubee
Intelligent Contract Automation featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ml.js logo ml.js

ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • ml.js Landing page
    Landing page //
    2023-09-13
  • Dataiku Landing page
    Landing page //
    2023-08-17

ml.js

Website
github.com
Pricing URL
-
$ Details
Release Date
-
Edit details

Dataiku

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

ml.js videos

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

+ Add video

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

Category Popularity

0-100% (relative to ml.js and Dataiku)

ml.js

Dataiku

Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Data Science Tools
7 7%
Data Science Tools
93% 93
APIs
100 100%
APIs
0% 0
Python Tools
0 0%
Python Tools
100% 100

User comments

Share your experience with using ml.js and Dataiku. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

ml.js Reviews

We have no reviews of ml.js yet.
Be the first one to post

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, ml.js seems to be more popular. It has been mentiond 1 time 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.

ml.js mentions (1)

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 ml.js and Dataiku, you can also consider the following products

Microsoft Bing Image Search API - The Bing Image Search API adds a host of image search features to your apps including trending images. Test the image API with our online demo.

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

Microsoft Bing News Search API - Integrate news search functionality into your apps with the Bing News Search API from Microsoft Azure. Try the news API online to see it in action.

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

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

Learning.js - Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, PHP, Python, Bootstrap, Java and XML.

Loading...