Software Alternatives & Reviews

Pandas VS Exploratory

Compare Pandas VS Exploratory and see what are their differences

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

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

Pandas details

Data Science And Machine Learning Data Dashboard Data Science Tools

Exploratory details

Data Science And Machine Learning Data Dashboard Data Science Tools

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • - Ozzy Man Reviews: PANDAS Part 2
  • - Trash Pandas Review with Sam Healey

Exploratory videos

1.3 Exploratory, Descriptive and Explanatory Nature Of Research

More videos:

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

Category Popularity

0-100% (relative to Pandas and Exploratory)


These are some of the external sources and on-site user reviews we've used to compare Pandas and Exploratory

Pandas Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.

Exploratory Reviews

We have no reviews of Exploratory yet.
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Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 50 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Pandas mentions (50)

  • How to use Spark and Pandas to prepare big data
    We’ve learned a lot while setting up Spark on AWS EMR. While this post will focus on how to use PySpark with Pandas, let us know in the comments if you’re interested in a future article on how we set up Spark on AWS EMR. - Source: / about 6 hours ago
  • How To Access And Query Your Amazon Redshift Data Using Python And R
    Pandas is a widely-used data analysis library in Python. It provides a high-performance data structure called DataFrame for working with table-like structures. - Source: / 1 day ago
  • Student assignment, need some help..
    If you really want though, you can easily load excel documents into python using Pandas. (A quick tutorial is available here: - Source: Reddit / 6 days ago
  • Top 10 Python Libraries for Machine Learning
    Website: Github Repository: Developed By: Community Developed (Originally Authored by Wes McKinney) Primary Purpose: Data Analysis and Manipulation. - Source: / 13 days ago
  • How does everyone in my PhD cohort have a car? I don't get how people had the savings to buy nice cars right after undergrad. Does everyone have wealthy parents??
    Take a python course at your uni if you are just starting or you can self start with a project in mind. After you feel comfortable with python learn how to use numpy and pandas by playing around in a jupyter notebook. After that learn how to create GUIs with pyqt5 in QTdesigner. Then it's just learning how to make it do math properly once and you're making programs before you know it. It's also useful to learn... - Source: Reddit / 23 days ago
View all

Exploratory mentions (0)

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

What are some alternatives?

When comparing Pandas 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.

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

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

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

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

User reviews

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

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