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MLDB VS Exploratory

Compare MLDB VS Exploratory 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

MLDB logo MLDB

MLDB is an open-source database designed for machine learning that can be install in any device and send commands over a RESTful API to store data.

Exploratory logo Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
  • MLDB Landing page
    Landing page //
    2022-07-11
  • Exploratory Landing page
    Landing page //
    2023-09-12

MLDB videos

+ Add

Full Evasion/MLDB Team in RTA! World Arena Challenge! - Epic Seven

More videos:

  • Review - Datacratic's Machine Learning Database (MLDB) #MP53

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)

Category Popularity

0-100% (relative to MLDB and Exploratory)

MLDB

Exploratory

Python Tools
5 5%
Python Tools
95% 95
Data Science And Machine Learning
4 4%
Data Science And Machine Learning
96% 96
Data Science Tools
5 5%
Data Science Tools
95% 95
Software Libraries
100 100%
Software Libraries
0% 0

User comments

Share your experience with using MLDB 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.

MLDB mentions (0)

We have not tracked any mentions of MLDB yet. Tracking of MLDB 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 / over 1 year 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 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 / about 2 years ago
View more

What are some alternatives?

When comparing MLDB 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.

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.

Turi GraphLab Create - GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

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

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

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