
TensorFlow
PyTorch
Scikit-learn
Keras
MLKit
NLTK
Caffe2
Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences.
Which is more popular?
Based on our record, MC Stan seems to be more popular. It has been mentioned 25 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | mc-stan.org | codegres.org |
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What each product offers, as listed by its team.


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Overall verdict
Why this product is good
Recommended for
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MC STΔN NUMBERKARI REACTION | MC STAN NUMBERKARI REACTION | MC STAN NEW SONG | TADIPAAR 2K20 | AFAIK
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Recommendations tracked on public social media and blogs since March 2021.


This is also why nobody writes the loop above in production. Modern samplers like Stan and PyMC use Hamiltonian Monte Carlo and NUTS, which use gradients of the posterior to propose smart, distant moves instead of blind local wobbles,... - Source: dev.to / 7 days ago
My approach to problems like this is to write down the proposed model mathematically first, in extreme detail. I find hierarchical form to be the easiest way to break it down piece by piece. Once I have the maths then I turn it into a... Source: over 3 years ago
For instance my first choice in these cases is always a Bayesian inference tool like Stan. In my experience as someone who’s more of a programmer than mathematician/statistician, Bayesian tools like this make it much easier to not... Source: over 3 years ago
Tracking Codegres.org since Nov 2022.
When comparing MC Stan and Codegres.org, you can also consider the following products.

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Compare TensorFlow to MC Stan or Codegres.org:

Open source deep learning platform that provides a seamless path from research prototyping to...
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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MLKit is a simple machine learning framework written in Swift.
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NLTK is a platform for building Python programs to work with human language data.
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