examples VS Pandas

Compare examples vs Pandas 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)
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examples Pandas
96 265
6,475 35,323
2.1% 1.7%
8.9 10.0
8 days ago 2 days ago
Jupyter Notebook Python
Apache License 2.0 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.

examples

Posts with mentions or reviews of examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-18.

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 2022-09-26.

What are some alternatives?

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

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

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

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

Keras - Deep Learning for humans

Dask - Parallel computing with task scheduling

SymPy - A computer algebra system written in pure Python

NumPy - The fundamental package for scientific computing with Python.

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

blaze - NumPy and Pandas interface to Big Data

Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.