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Pandas VS WEKA

Compare Pandas VS WEKA 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.

WEKA is a set of powerful data mining tools that run on Java.
Pandas Landing Page
Pandas Landing Page
WEKA Landing Page
WEKA Landing Page

Pandas details

Data Science And Machine Learning Data Dashboard Data Science Tools

WEKA 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

WEKA videos

Review of Feature Selection in Weka

More videos:

  • - Getting Started with Weka - Machine Learning Recipes #10
  • - Data mining with Weka | Data mining Tutorial for Beginners

Category Popularity

0-100% (relative to Pandas and WEKA)


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

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.

WEKA Reviews

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

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you identify which product is more popular and what people think of it.

Pandas mentions

  • Top 10 Python Libraries
    Pandas is a machine learning library that offers high-level data structures and a wide variety of tools for data analysis. It provides essential data structures like series, data frames, and panels, which help manipulate data sets and time series. It also offers high-level abstraction and multiple methods for convenient data filtering. - Source: / 3 months ago
  • US presidents according to the word count of their wikipedia page [OC]
    Data from wikipedia scrapping, (date 2021-04-08) Make with python 3.6, with wikipedia, pandas and seaborn libraries. - Source: Reddit / 2 months ago
  • 5 Python Libraries You Need to Know
    NumPy is the fundamental package for scientific computing in Python and provides a solid foundation on top of which to build your numerical algorithms. Pandas provides powerful data structures and tools to make working with large datasets easier. It can load data in many formats including csv, json, html and others. - Source: / 2 months ago
  • Exploring data with Jupyter Notebook, Pandas and CrateDB
    In this post, I'll play a little bit with the NYC taxi dataset using Pandas and Matplotlib. This will be a simple example, but you can take it from here and explore further what you can do with these tools. - Source: / 2 months ago
  • Programming for Beginners
    As we can observe, imperative programming in Python specifies the computational steps to get the desired output, where the declarative style of SQL describes the output. Another thing to mention is that Python does support a (functional) declarative style of programming and SQL-like interface with the use of some modules such as Pandas. Python does even extend for other features of programming such as... - Source: / 2 months ago

WEKA mentions

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

What are some alternatives?

When comparing Pandas and WEKA, 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.

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

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