Software Alternatives, Accelerators & Startups

MILK VS Exploratory

Compare MILK VS Exploratory and see what are their differences

MILK logo MILK

Milk is a machine learning toolkit in Python that focuses on supervised classification with several classifiers available: SVMs, k-NN, random forests, decision trees.

Exploratory logo Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
  • MILK Landing page
    Landing page //
    2023-10-15
  • Exploratory Landing page
    Landing page //
    2023-09-12

MILK videos

Milk & Butter Review - How To Buy The BEST Milk & Butter At The Grocery Store

More videos:

  • Review - The Truth About Milk Skin Care
  • Review - Dairy Lovers Try Different Types of Milk

Exploratory videos

1.3 Exploratory, Descriptive and Explanatory Nature Of Research

More videos:

  • Review - Exploratory Process Content Review
  • Review - Reviewing Your Data Science Projects - Episode 1 (Exploratory Analysis)

Category Popularity

0-100% (relative to MILK and Exploratory)
Python Tools
6 6%
94% 94
Data Science And Machine Learning
Data Science Tools
6 6%
94% 94
Software Libraries
100 100%
0% 0

User comments

Share your experience with using MILK and Exploratory. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Exploratory seems to be more popular. It has been mentiond 6 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.

MILK mentions (0)

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

Exploratory mentions (6)

  • Excel Never Dies
    I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / almost 2 years ago
  • Fast Lane to Learning R
    If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / about 2 years ago
  • Excel 2.0 – Is there a better visual data model than a grid of cells?
    Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / about 2 years ago
  • Why no love for Exploratory Desktop?
    I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: about 2 years ago
  • A Quick Introduction to R
    I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 2 years ago
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What are some alternatives?

When comparing MILK and Exploratory, 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.

DecisionTree.jl - DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning, parallelized bagging, adaptive boosting, cross validation and support for mixed nominal and numerical data.

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

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

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

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.