CPython VS Pandas

Compare CPython vs Pandas and see what are their differences.


The Python programming language (by python)


Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by pandas-dev)
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CPython Pandas
1193 371
53,542 38,499
2.7% 0.9%
10.0 10.0
3 days ago 4 days ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of CPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.


Posts with mentions or reviews of Pandas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-24.

What are some alternatives?

When comparing CPython and Pandas you can also consider the following projects:

Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis

tensorflow - An Open Source Machine Learning Framework for Everyone

RustPython - A Python Interpreter written in Rust

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files

Keras - Deep Learning for humans

SymPy - A computer algebra system written in pure Python

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Dask - Parallel computing with task scheduling

NumPy - The fundamental package for scientific computing with Python.

blaze - NumPy and Pandas interface to Big Data