Pandas VS SymPy

Compare Pandas vs SymPy and see what are their differences.

Pandas

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)

SymPy

A computer algebra system written in pure Python (by sympy)
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Pandas SymPy
306 21
36,692 10,005
1.7% 1.7%
10.0 9.9
2 days ago 6 days ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.

Pandas

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 2023-01-31.

SymPy

Posts with mentions or reviews of SymPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-15.

What are some alternatives?

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

SciPy - SciPy library main repository

NumPy - The fundamental package for scientific computing with Python.

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

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

Numba - NumPy aware dynamic Python compiler using LLVM

Dask - Parallel computing with task scheduling

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