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Scikit-learn VS Pandas

Compare Scikit-learn VS Pandas and see what are their differences

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Scikit-learn details

Data Science And Machine Learning Data Dashboard Data Science Tools

Pandas details

Data Science And Machine Learning Data Dashboard Data Science Tools

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Category Popularity

0-100% (relative to Scikit-learn and Pandas)


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

Scikit-learn Reviews

We have no reviews of Scikit-learn yet.
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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.

Social recommendations and mentions

Based on our record, Pandas should be more popular than Scikit-learn. It has been mentiond 47 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.

Scikit-learn mentions (6)

  • Use Scikit-Learn and Runflow
    If you're not familiar with Scikit-learn and Runflow,. - Source: / 23 days ago
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / about 1 month ago
  • Introduction to Machine Learning with Python and
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: / 3 months ago
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 4 months ago
  • Top 10 Python Libraries
    Scikit-learn is a free and open-source software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikit-learn is built atop other Python libraries, and hence it is interoperable with most of the other Python libraries (NumPy, SciPy, Pandas, etc.). - Source: / 4 months ago

Pandas mentions (47)

  • How to get data from a row in a CSV file?
    Python's standard library has a csv module. However, you can't just access a specific row like this. You would need an iterative approach (i.e. Using a loop). Alternatively, there is the pandas library, which is very versatile and powerful for working with tables, it's not that easy to learn though. - Source: Reddit / about 16 hours ago
  • Multisort in Sheets, SQL, Python, and JavaScript
    Practical (or lazy) people like me use pandas to organize all their Python data that need multi-column sort, just like in this Jupyter Notebook example:. - Source: / 3 days ago
  • Google has a Machine Learning Course. It's free
    If you are new to pandas, do the pandas UltraQuick Tutorial Colab exercise, which provides all the pandas information you need for this course. - Source: / 4 days ago
  • Where is the best place to learn GIS based python?
    I've heard that it's better to learn some of the basic of Python first and then add the geo-spatial so you can check out Think Python and Python for Data Analysis. The second uses pandas which has a spatial extension, geopandas. You can also check out Anita Graser's course for PyQGIS here. There's tons more resources out there. - Source: Reddit / 7 days ago
  • Lesson learned
    Python + Pandas, R or powerBI will serve you well. - Source: Reddit / 10 days ago

What are some alternatives?

When comparing Scikit-learn and Pandas, you can also consider the following products

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

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.

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

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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