A Python package for causal inference in quasi-experimental settings
☆1,210Oct 27, 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.☆1,297Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,305Updated this week
- Powerful add-ons for PyMC☆143Oct 19, 2026Updated last week
- Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.☆133Updated this week
- A Python package for modular causal inference analysis and model evaluations☆834May 26, 2026Updated 5 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆679Sep 20, 2026Updated last month
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,381Updated this week
- Exploring and eliciting probability distributions☆175Sep 7, 2026Updated last month
- ☆157Oct 22, 2026Updated last week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,833Updated this week
- Examples of PyMC models, including a library of Jupyter notebooks.☆400Updated this week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,492Aug 31, 2026Updated last month
- Python wrapper for nuts-rs☆211Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆6,035Oct 12, 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.
- DoubleML - Double Machine Learning in Python☆795Sep 23, 2026Updated last month
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,505Oct 6, 2026Updated 3 weeks ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,826Updated this week
- Exploratory analysis of Bayesian models with Python☆1,863Oct 22, 2026Updated last week
- ☆537Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,656Updated this week
- Time should be taken seer-iously☆317Mar 17, 2023Updated 3 years ago
- A resource list for causality in statistics, data science and physics☆268Aug 1, 2026Updated 2 months ago
- Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and Sci…☆52Oct 19, 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.
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆816Dec 1, 2025Updated 10 months ago
- A curated list of causal inference libraries, resources, and applications.☆1,211Apr 21, 2026Updated 6 months ago
- AutoML for causal inference.☆242Jul 19, 2026Updated 3 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,083May 22, 2026Updated 5 months ago
- Causal Discovery in Python. Learning causality from data.☆1,705Sep 4, 2026Updated last month
- An experimental language for causal reasoning☆281Jul 24, 2026Updated 3 months ago
- Extra blocks for scikit-learn pipelines.☆1,413Updated this week
- Causal Inference and Discovery in Python by Packt Publishing☆1,046Jul 15, 2026Updated 3 months ago
- PyMC educational resources☆2,111Dec 23, 2024Updated last year
- 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.
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,773Updated this week
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,053Jun 17, 2025Updated last year
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆271Jun 30, 2026Updated 4 months ago
- [Experimental] Global causal discovery algorithms☆116Oct 19, 2026Updated last week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,953Updated this week
- Formulas for mixed-effects models in Python☆66Sep 22, 2026Updated last month
- LLM agent skill files for PyMC and PyTensor☆93Oct 23, 2026Updated last week