Python-first access to R’s brms with proper parameter names, ArviZ support, and cmdstanr performance. The easiest way to run brms models from Python.
☆14Mar 27, 2026Updated 7 months ago
Alternatives and similar repositories for brmspy
Users that are interested in brmspy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Jul 30, 2026Updated 3 months ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆121Nov 3, 2026Updated last week
- A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.☆22Updated this week
- ☆13Updated this week
- A batteries-included template for Bayesian data analysis projects☆23Apr 10, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Econometrics on the GPU (and CPU) via JAX☆17Jul 12, 2025Updated last year
- Python interface for the Stan to (Num)Pyro compiler.☆14Oct 20, 2021Updated 5 years ago
- Tools for Developing R Packages Interfacing with Stan☆49Sep 28, 2026Updated last month
- Case studies in applied and computational statistics.☆42Jun 16, 2026Updated 4 months ago
- Monitor MCMC runs in the browser☆38Feb 8, 2024Updated 2 years ago
- ArviZ modular plotting☆23Nov 4, 2026Updated last week
- A sklearn style interface to Stan regression models☆26Oct 14, 2024Updated 2 years ago
- Make your IDs strongly typed!!☆14Sep 22, 2022Updated 4 years ago
- LogDensityProblems implementation for Stan models☆19Oct 26, 2026Updated 2 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆80Oct 6, 2025Updated last year
- Bayes/Stan Short Course | July 2016 | NYC☆10Jul 6, 2017Updated 9 years ago
- Pythonic interface to R's brms☆46Feb 24, 2022Updated 4 years ago
- ☆10Feb 9, 2026Updated 9 months ago
- Files for Modern Statistical Workflow workshop☆10Jul 16, 2016Updated 10 years ago
- Finite State Machine implementations of MCMC algorithms in JAX for efficient vectorization.☆21Jun 7, 2025Updated last year
- Tools for automatically generating local sensitivity measures in Stan.☆38Dec 2, 2020Updated 5 years ago
- Slides and assignments for an introductory course in hierarchical Bayesian modeling☆13Mar 18, 2016Updated 10 years ago
- Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.☆139Updated this 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.
- R interface for the fast nuts-rs MCMC sampler☆21Updated this week
- A web interface for exploring PyMC3 traces☆45Feb 14, 2018Updated 8 years ago
- ☆15Apr 10, 2017Updated 9 years ago
- Reproducible Bayesian data analysis pipelines with targets and cmdstanr☆52Jul 7, 2026Updated 4 months ago
- RIM iterative raking algorithm for people data☆16Feb 2, 2026Updated 9 months ago
- A surface language for programming Stan models using python syntax☆46Jan 11, 2019Updated 7 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Jan 10, 2022Updated 4 years ago
- Course notes for hierarchical modeling class☆18Oct 23, 2017Updated 9 years ago
- A skill for rapid learning☆16Sep 24, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Forecasting Models in NumPyro☆40Updated this week
- Rewriting the Stan compiler in OCaml☆23Jul 20, 2021Updated 5 years ago
- ☆157Updated this week
- ☆12May 27, 2025Updated last year
- Notebooks supporting my PyData Global 2022 talk☆10Dec 2, 2022Updated 3 years ago
- Pet Containers for Data Scientists☆12Dec 8, 2022Updated 3 years ago
- ☆11Updated this week
Are these results useful?