PyMC VS harold

Compare PyMC vs harold and see what are their differences.

PyMC

Bayesian Modeling and Probabilistic Programming in Python (by pymc-devs)
Science and Data analysis Python statistical-analysis bayesian-inference Mcmc variational-inference probabilistic-programming pytensor
Source Code
docs.pymc.io
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harold

An open-source systems and controls toolbox for Python3 (by ilayn)
Science and Data analysis control-systems linear-systems control-engineering Scientific Computing industrial-automation model-based-control control-theory linear-systems-theory pid-control pid-controller
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Docs
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PyMC harold
3 2
8,155 171
1.2% -
9.5 1.8
1 day ago 10 months ago
Python Python
GNU General Public License v3.0 or later MIT 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.
  • PYMC Release: v5.0.0
    1 project | news.ycombinator.com | 12 Dec 2022
  • An Astronomer's Introduction to NumPyro
    1 project | news.ycombinator.com | 17 Aug 2022
    I believe the pymc versions were resolved into developing version 4 of pymc. Development at https://github.com/pymc-devs/pymc

    It still depends on theano now evolved and renamed

  • 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

harold

Posts with mentions or reviews of harold. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-14.

What are some alternatives?

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

statsmodels - Statsmodels: statistical modeling and econometrics in Python

Dask - Parallel computing with task scheduling

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

stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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

Numba - NumPy aware dynamic Python compiler using LLVM

RDKit - The official sources for the RDKit library

SymPy - A computer algebra system written in pure Python

NumPy - The fundamental package for scientific computing with Python.

pyro - Deep universal probabilistic programming with Python and PyTorch

PyMC vs statsmodels harold vs Dask PyMC vs Dask harold vs Pandas PyMC vs stan harold vs orange PyMC vs Numba harold vs RDKit PyMC vs SymPy harold vs NumPy PyMC vs pyro harold vs SymPy