PyStan, the Python interface to Stan
☆928Feb 17, 2021Updated 5 years ago
Alternatives and similar repositories for pystan2
Users that are interested in pystan2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. …☆2,727Mar 12, 2026Updated 2 weeks ago
- ☆32Aug 6, 2017Updated 8 years ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,530Mar 17, 2026Updated last week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- Exploratory analysis of Bayesian models with Python☆1,797Mar 14, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆362Mar 12, 2026Updated last week
- CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan progra…☆193Dec 17, 2025Updated 3 months ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Oct 4, 2021Updated 4 years ago
- Example models for Stan☆795Oct 23, 2025Updated 5 months ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆875Jul 30, 2020Updated 5 years ago
- Bayesian Data Analysis demos for Python☆1,040Sep 19, 2025Updated 6 months ago
- RStan, the R interface to Stan☆1,075Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,989Jul 9, 2025Updated 8 months ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,250Mar 17, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Describing statistical models in Python using symbolic formulas☆979Mar 16, 2026Updated last week
- Bayesian Python: Bayesian inference tools for Python☆703Jul 24, 2025Updated 8 months ago
- CmdStan, the command line interface to Stan☆237Mar 12, 2026Updated last week
- Open source time series library for Python☆2,141Oct 24, 2023Updated 2 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,416Mar 4, 2026Updated 3 weeks ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127May 22, 2016Updated 9 years ago
- HTTP interface to Stan, a package for Bayesian inference.☆41Feb 6, 2025Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,623Mar 17, 2026Updated last week
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆905Jul 16, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Gaussian processes in TensorFlow☆1,905May 29, 2025Updated 9 months ago
- Statsmodels: statistical modeling and econometrics in Python☆11,313Updated this week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,816Feb 23, 2024Updated 2 years ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,083Mar 2, 2026Updated 3 weeks ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Jun 1, 2016Updated 9 years ago
- The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It i…☆813Updated this week
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆878Jun 15, 2020Updated 5 years ago
- Parallel computing with task scheduling☆13,774Updated this week
- rstanarm R package for Bayesian applied regression modeling☆399Dec 30, 2025Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- NumPy and Pandas interface to Big Data☆3,195Sep 29, 2023Updated 2 years ago
- Efficiently computes derivatives of NumPy code.☆7,464Mar 16, 2026Updated last week
- Render probabilistic graphical models using matplotlib☆683Mar 16, 2026Updated last week
- Case studies on model assessment, model selection and inference after model selection☆170Jan 9, 2024Updated 2 years ago
- Bayesian optimization in PyTorch☆3,481Mar 18, 2026Updated last week
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,512Mar 6, 2025Updated last year
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,439Jun 25, 2024Updated last year