A Python library that helps data scientists to infer causation rather than observing correlation.
☆2,491Aug 31, 2026Updated 2 months 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…☆8,393Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆6,041Oct 12, 2026Updated 3 weeks ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,846Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,243Oct 13, 2025Updated last year
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…☆11,046Updated this week
- 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.
- A Python package for modular causal inference analysis and model evaluations☆836May 26, 2026Updated 5 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆817Dec 1, 2025Updated 11 months ago
- An index of algorithms for learning causality with data☆3,301Oct 28, 2026Updated last week
- Python Toolkit for Causal and Probabilistic Reasoning☆3,367Updated this week
- Causal Discovery in Python. Learning causality from data.☆1,710Sep 4, 2026Updated 2 months ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,734Jan 14, 2026Updated 9 months ago
- A Python package for causal inference in quasi-experimental settings☆1,212Updated this week
- QuantumBlack Matplotlib styles☆414Jul 10, 2024Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆694May 26, 2026Updated 5 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,508Oct 6, 2026Updated last month
- ☆537Oct 30, 2026Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆360Apr 15, 2026Updated 6 months ago
- Python package for causal discovery based on LiNGAM.☆511Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,533Jul 13, 2025Updated last year
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,295Sep 19, 2026Updated last month
- Fit interpretable models. Explain blackbox machine learning.☆6,976Updated this week
- Extra blocks for scikit-learn pipelines.☆1,413Updated this week
- Tools for causal analysis☆1,082Mar 11, 2025Updated last year
- 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.
- Trustworthy AI related projects☆1,153Sep 21, 2026Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,672Updated this week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆645Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,083May 22, 2026Updated 5 months ago
- Causal Inference in Python☆580Sep 26, 2026Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆679Sep 20, 2026Updated last month
- Algorithms for explaining machine learning models☆2,651Oct 17, 2025Updated last year
- An R package for causal inference in time series☆1,865Mar 31, 2026Updated 7 months ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆541Oct 1, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,363Jan 8, 2022Updated 4 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,853Updated this week
- A unified framework for machine learning with time series☆10,091Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,408Feb 19, 2025Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,903Updated this week
- uplift modeling in scikit-learn style in python☆820Oct 21, 2023Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago