[Experimental] Global causal discovery algorithms
☆113Jan 19, 2026Updated last month
Alternatives and similar repositories for dodiscover
Users that are interested in dodiscover are comparing it to the libraries listed below
Sorting:
- Python package for (conditional) independence testing and statistical functions related to causality.☆31Jan 1, 2026Updated 2 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆64Jan 19, 2026Updated last month
- Causal Discovery in Python. Learning causality from data.☆1,552Feb 18, 2026Updated last week
- Code for the causal benchmark library☆12Mar 11, 2025Updated 11 months ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆15Feb 7, 2025Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Jan 31, 2022Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆77Feb 17, 2026Updated last week
- Causal discovery algorithms and tools for implementing new ones☆246Jul 10, 2025Updated 7 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,221Oct 13, 2025Updated 4 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆290Jan 6, 2026Updated last month
- AutoML for causal inference.☆236Dec 18, 2024Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆82May 9, 2023Updated 2 years ago
- ☆12Mar 21, 2024Updated last year
- Python package for causal discovery based on LiNGAM.☆471Feb 16, 2026Updated last week
- Diffusion Models for Causal Discovery☆92Mar 17, 2023Updated 2 years ago
- ☆12Aug 16, 2022Updated 3 years ago
- A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.☆59Dec 15, 2023Updated 2 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆91Feb 22, 2026Updated last week
- Adjustment Identification Distance: A gadjid for Causal Structure Learning☆13Oct 17, 2025Updated 4 months ago
- A Python package for modular causal inference analysis and model evaluations☆809Apr 6, 2025Updated 10 months ago
- ☆15Feb 28, 2023Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆89Mar 31, 2024Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,107Updated this week
- Example causal datasets with consistent formatting and ground truth☆106Apr 14, 2025Updated 10 months ago
- Framework to generate observational and interventional samples from structural equation models (SEMs)☆21Apr 14, 2025Updated 10 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,439Jun 26, 2024Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆315May 1, 2025Updated 10 months ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,607Jan 14, 2026Updated last month
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated last year
- Data Efficient Decision Making☆250Jun 21, 2022Updated 3 years ago
- [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"☆28Dec 2, 2024Updated last year
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆530Oct 1, 2021Updated 4 years ago
- ☆13Dec 5, 2024Updated last year
- Towards Automated Causal Discovery☆11Aug 20, 2024Updated last year
- A Causal AI package for causal graphs.☆60Jan 20, 2026Updated last month
- Codebase for the paper: "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning"☆15May 30, 2024Updated last year
- ☆14May 19, 2025Updated 9 months ago
- repository for Causal&NLP reading group☆11Jan 30, 2026Updated last month
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions☆13Feb 23, 2023Updated 3 years ago