A Python package for causal inference in quasi-experimental settings
☆1,143May 18, 2026Updated this week
Alternatives and similar repositories for CausalPy
Users that are interested in CausalPy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,151Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,266Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆671Jan 13, 2025Updated last year
- Powerful add-ons for PyMC☆138Updated this week
- Exploring and eliciting probability distributions☆165May 13, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,116Updated this week
- A Python package for modular causal inference analysis and model evaluations☆814May 7, 2026Updated 2 weeks ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,633Apr 27, 2026Updated 3 weeks ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,464Jun 26, 2024Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,841Updated this week
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,354Apr 8, 2026Updated last month
- Examples of PyMC models, including a library of Jupyter notebooks.☆384May 12, 2026Updated last week
- DoubleML - Double Machine Learning in Python☆738May 13, 2026Updated last week
- An experimental language for causal reasoning☆266Apr 13, 2026Updated last month
- 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.
- ☆529Dec 16, 2024Updated last year
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 3 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,547Updated this week
- ☆148May 13, 2026Updated last week
- A curated list of causal inference libraries, resources, and applications.☆1,148Apr 21, 2026Updated last month
- Bayesian Modeling and Probabilistic Programming in Python☆9,619Updated this week
- Python wrapper for nuts-rs☆199May 11, 2026Updated last week
- Time should be taken seer-iously☆320Mar 17, 2023Updated 3 years ago
- Exploratory analysis of Bayesian models with Python☆1,822Apr 24, 2026Updated 3 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- AutoML for causal inference.☆241Dec 18, 2024Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,051May 7, 2026Updated 2 weeks ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,044Jun 17, 2025Updated 11 months ago
- [Experimental] Global causal discovery algorithms☆112May 11, 2026Updated last week
- Extra blocks for scikit-learn pipelines.☆1,392May 11, 2026Updated last week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆798Dec 1, 2025Updated 5 months ago
- Causal Discovery in Python. Learning causality from data.☆1,589May 15, 2026Updated last week
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14May 1, 2026Updated 2 weeks ago
- Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and Sci…☆52Updated this week
- 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.
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆742Updated this week
- Active Bayesian Causal Inference (Neurips'22)☆61Jul 29, 2024Updated last year
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,782May 13, 2026Updated last week
- PyMC educational resources☆2,095Dec 23, 2024Updated last year
- ☆155Feb 6, 2026Updated 3 months ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆250May 9, 2026Updated last week
- Formulas for mixed-effects models in Python☆65Feb 9, 2026Updated 3 months ago