PyMC Insights | Sumble

What is PyMC?

PyMC is a Python library for probabilistic programming. It allows users to build Bayesian statistical models and perform Bayesian inference using Markov Chain Monte Carlo (MCMC) methods and other algorithms. PyMC is commonly used for statistical modeling, data analysis, and uncertainty quantification across various domains, including scientific research, finance, and engineering.

Find organizations using PyMC on Sumble →

What other technologies are related to PyMC?

PyMC Competitor Technologies

Stan

Stan is a probabilistic programming language like PyMC, used for statistical modeling and high-performance statistical computation.

mentioned alongside PyMC in 10% (85) of relevant job posts

PyMC Complementary Technologies

statsmodels

Statsmodels provides classes and functions for the estimation of many different statistical models, and can be used alongside PyMC for different aspects of statistical analysis.

mentioned alongside PyMC in 3% (70) of relevant job posts

scikit-learn

Scikit-learn is a general-purpose machine learning library that can be used in conjunction with PyMC for tasks like feature selection or comparing performance against Bayesian models.

What is PyMC?

What other technologies are related to PyMC?

PyMC Competitor Technologies

PyMC Complementary Technologies

Which job functions mention PyMC?

Which organizations are mentioning PyMC?