PyMC VS Pandas

Compare PyMC 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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PyMC Pandas
3 393
8,103 41,678
1.2% 1.6%
9.4 10.0
about 9 hours 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.

PyMC

Posts with mentions or reviews of PyMC. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-06.
  • What is Probabilistic Programming?
    4 projects | /r/learnmachinelearning | 6 Sep 2021
    This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing

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 2024-03-04.

What are some alternatives?

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

Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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

Keras - Deep Learning for humans

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

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

SymPy - A computer algebra system written in pure Python

Dask - Parallel computing with task scheduling

NumPy - The fundamental package for scientific computing with Python.

statsmodels - Statsmodels: statistical modeling and econometrics in Python

blaze - NumPy and Pandas interface to Big Data