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Exploratory VS MLBase.jl

Compare Exploratory VS MLBase.jl 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

Exploratory logo Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

MLBase.jl logo MLBase.jl

MLBase.jl provides a collection of useful tools to support machine learning programs
  • Exploratory Landing page
    Landing page //
    2023-09-12
  • MLBase.jl Landing page
    Landing page //
    2023-10-15

Exploratory features and specs

  • User-friendly Interface
    Exploratory offers a highly intuitive and user-friendly interface, which makes it accessible to individuals with varying levels of data analysis knowledge.
  • Integration with R
    The platform integrates well with the R programming language, enabling users to leverage R's extensive libraries and functionalities within Exploratory.
  • Rich Visualization Options
    Exploratory provides a wide range of visualization options that allow users to create detailed and interactive charts and graphs to represent their data effectively.
  • Collaborative Features
    The platform includes features for team collaboration, allowing multiple users to work on data projects together and share insights seamlessly.
  • Built-in Data Wrangling Tools
    Exploratory comes with built-in tools for data wrangling, making it easier for users to clean, transform, and prepare datasets for analysis without needing extensive coding skills.

Possible disadvantages of Exploratory

  • Pricing
    Exploratory's pricing can be high for individual users or small teams, especially when compared to open-source alternatives.
  • Learning Curve for Advanced Features
    While basic features are user-friendly, some of the more advanced functionalities require a steep learning curve, particularly for users not familiar with data science concepts.
  • Limited Customization
    Though it offers a range of visualization options, the customization capabilities are somewhat limited compared to using raw code in R or other languages.
  • Performance Issues with Large Datasets
    Exploratory may experience performance issues or slowdowns when handling very large datasets, which can be a limiting factor for big data analysis.
  • Dependency on Internet Connection
    As a cloud-based platform, Exploratory requires a stable internet connection for optimal performance, which can be a hindrance in areas with poor connectivity.

MLBase.jl features and specs

No features have been listed yet.

Exploratory videos

+ Add

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)

MLBase.jl videos

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

Add video

Category Popularity

0-100% (relative to Exploratory and MLBase.jl)

Exploratory

MLBase.jl

Data Science And Machine Learning
91 91%
Data Science And Machine Learning
9% 9
Python Tools
90 90%
Python Tools
10% 10
Data Science Tools
91 91%
Data Science Tools
9% 9
Technical Computing
100 100%
Technical Computing
0% 0

User comments

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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.

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 / over 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 / almost 3 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 3 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 3 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 / about 3 years ago
View more

MLBase.jl mentions (0)

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

What are some alternatives?

When comparing Exploratory and MLBase.jl, 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.

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.

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

Azure Machine Learning Service - Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

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

WEKA - WEKA is a set of powerful data mining tools that run on Java.

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