Tools for causal analysis
☆1,082Mar 11, 2025Updated last year
Alternatives and similar repositories for causality
Users that are interested in causality are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Causal Inference in Python☆577Jun 21, 2025Updated last year
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,226Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,235Oct 13, 2025Updated 9 months ago
- Repository with code and slides for a tutorial on causal inference.☆589Sep 23, 2019Updated 6 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.
- An index of algorithms for learning causality with data☆3,271Jan 22, 2025Updated last year
- A Python package for modular causal inference analysis and model evaluations☆831May 26, 2026Updated last month
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆805Dec 1, 2025Updated 7 months ago
- Some notes on Causal Inference, with examples in python☆156Feb 24, 2020Updated 6 years ago
- ☆206Mar 23, 2023Updated 3 years ago
- An R package for causal inference in time series☆1,848Mar 31, 2026Updated 3 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,351Jan 8, 2022Updated 4 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,475Jun 29, 2026Updated 3 weeks ago
- Uplift modeling and causal inference with machine learning algorithms☆5,931Updated this 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.
- A data index for learning causality.☆492Oct 25, 2023Updated 2 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated 2 years ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆444Updated this week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆356Apr 15, 2026Updated 3 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,720Updated this week
- Python Toolkit for Causal and Probabilistic Reasoning☆3,303Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,285Updated this week
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84May 23, 2018Updated 8 years ago
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,538Mar 6, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆681May 26, 2026Updated last month
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆326Oct 2, 2020Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆243Jul 30, 2020Updated 5 years ago
- Open source time series library for Python☆2,136Oct 24, 2023Updated 2 years ago
- Resources related to causality☆271Feb 19, 2024Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,412Jul 8, 2026Updated last week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,690Jan 14, 2026Updated 6 months ago
- Causal Effect Inference with Deep Latent-Variable Models☆369Jul 17, 2020Updated 6 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.
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,504Apr 29, 2017Updated 9 years ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,679Updated this week
- Automatic extraction of relevant features from time series:☆9,275Jul 6, 2026Updated 2 weeks ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆539Oct 1, 2021Updated 4 years ago
- Survival analysis in Python☆2,595Mar 7, 2026Updated 4 months ago
- Deep universal probabilistic programming with Python and PyTorch☆9,025Jul 10, 2026Updated last week
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago