A Python library that helps data scientists to infer causation rather than observing correlation.
☆2,481Aug 31, 2026Updated 3 weeks ago
Alternatives and similar repositories for causalnex
Users that are interested in causalnex are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,331Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆6,009Aug 20, 2026Updated last month
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,800Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,242Oct 13, 2025Updated 11 months ago
- A Python package for modular causal inference analysis and model evaluations☆837May 26, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…☆11,010Updated this week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆813Dec 1, 2025Updated 9 months ago
- An index of algorithms for learning causality with data☆3,286Jan 22, 2025Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,196Updated this week
- Python Toolkit for Causal and Probabilistic Reasoning☆3,341Updated this week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,725Jan 14, 2026Updated 8 months ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆693May 26, 2026Updated 4 months ago
- Causal Discovery in Python. Learning causality from data.☆1,690Sep 4, 2026Updated 3 weeks ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,473Jul 8, 2026Updated 2 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.
- QuantumBlack Matplotlib styles☆413Jul 10, 2024Updated 2 years ago
- ☆536Sep 19, 2026Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆359Apr 15, 2026Updated 5 months ago
- Python package for causal discovery based on LiNGAM.☆507Sep 8, 2026Updated 3 weeks ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,281Sep 19, 2026Updated last week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,527Jul 13, 2025Updated last year
- Trustworthy AI related projects☆1,142Sep 21, 2026Updated last week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆645Updated this week
- Extra blocks for scikit-learn pipelines.☆1,411Sep 1, 2026Updated 3 weeks ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆678Sep 20, 2026Updated last week
- Tools for causal analysis☆1,081Mar 11, 2025Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,950Sep 21, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,596Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,077May 22, 2026Updated 4 months ago
- An R package for causal inference in time series☆1,863Mar 31, 2026Updated 5 months ago
- A unified framework for machine learning with time series☆10,047Updated this week
- uplift modeling in scikit-learn style in python☆818Oct 21, 2023Updated 2 years ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆538Oct 1, 2021Updated 4 years 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.
- A game theoretic approach to explain the output of any machine learning model.☆25,783Updated this week
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,354Jan 8, 2022Updated 4 years ago
- Causal Inference in Python☆578Updated this week
- Natural Gradient Boosting for Probabilistic Prediction☆1,889Sep 2, 2026Updated 3 weeks ago
- Algorithms for explaining machine learning models☆2,646Oct 17, 2025Updated 11 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,406Feb 19, 2025Updated last year
- [Experimental] Global causal discovery algorithms☆116Aug 31, 2026Updated 3 weeks ago