Causal Inference ML ML Frameworks

Tools, frameworks, and resources for causal inference, causal effect estimation, and causal discovery using machine learning methods. Does NOT include general machine learning frameworks, observational data analysis without causal focus, or non-causal statistical methods.

There are 92 causal inference ml frameworks tracked. 3 score above 70 (verified tier). The highest-rated is uber/causalml at 88/100 with 5,758 stars and 70,222 monthly downloads. 3 of the top 10 are actively maintained.

Get all 92 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=causal-inference-ml&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

#	Framework	Score	Tier	Stars	Language
1	uber/causalml Uplift modeling and causal inference with machine learning algorithms	88	Verified	5,758	Python
2	py-why/EconML ALICE (Automated Learning and Intelligence for Causation and Economics) is a...	84	Verified	4,537	Jupyter Notebook
3	py-why/dowhy DoWhy is a Python library for causal inference that supports explicit...	78	Verified	7,995	Python
4	cdt15/lingam Python package for causal discovery based on LiNGAM.	69	Established	474	Python
5	andrewtavis/causeinfer Machine learning based causal inference/uplift in Python	61	Established	62	Python
6	maks-sh/scikit-uplift :exclamation: uplift modeling in scikit-learn style in python :snake:	58	Established	800	Python
7	BiomedSciAI/causallib A Python package for modular causal inference analysis and model evaluations	58	Established	810	Python
8	DoubleML/doubleml-for-py DoubleML - Double Machine Learning in Python	57	Established	716	Python
9	huawei-noah/trustworthyAI Trustworthy AI related projects	50	Established	1,109	Python
10	altdeep/causalAI The open source repository for the Causal Modeling in Machine Learning...	50	Established	792	Jupyter Notebook
11	FenTechSolutions/CausalDiscoveryToolbox Package for causal inference in graphs and in the pairwise settings. Tools...	48	Emerging	1,226	Python
12	bytedance/CausalMatch CausalMatch is a Bytedance research project aimed at integrating...	48	Emerging	102	Jupyter Notebook
13	M-Nauta/TCDF Temporal Causal Discovery Framework (PyTorch): discovering causal...	43	Emerging	531	Jupyter Notebook
14	fbargaglistoffi/NetworkCausalTree Package for heterogeneous treatment and spillover effects under network interference	42	Emerging	9	R
15	vdblm/CausalPFN CausalPFN: Amortized Causal Effect Estimation via In-Context Learning	41	Emerging	91	Jupyter Notebook
16	Sanofi-Public/CImpact Causal inference library for timeseries analysis	41	Emerging	38	Python
17	mckinsey/causalnex A Python library that helps data scientists to infer causation rather than...	40	Emerging	2,445	Python
18	causal-machine-learning/kdd2021-tutorial EconML/CausalML KDD 2021 Tutorial	40	Emerging	168	Jupyter Notebook
19	causalis-causalcraft/Causalis Causalis - State-of-the-art robust causal inference for experiments and...	40	Emerging	6	Jupyter Notebook
20	biomedia-mira/deepscm Repository for Deep Structural Causal Models for Tractable Counterfactual Inference	40	Emerging	296	Jupyter Notebook
21	jroessler/autoum A Python Framework for Automatically Evaluating various Uplift Modeling...	38	Emerging	22	Python
22	TARGENE/TMLE.jl A Julia implementation of the Targeted Minimum Loss-based Estimation	38	Emerging	25	Julia
23	nt-williams/crumble General targeted machine learning for modern causal mediation analysis	38	Emerging	12	R
24	sametcopur/ruleopt Optimization-Based Rule Learning for Classification	38	Emerging	49	Python
25	msuzen/looper A resource list for causality in statistics, data science and physics	37	Emerging	268	—
26	leizhang-geo/ST-CausalConvNet A spatiotemporal causal convolutional network for predicting air pollution.	36	Emerging	72	Python
27	kailiang-zhong/DESCN Implementation of paper DESCN, which is accepted in SIGKDD 2022.	35	Emerging	108	Jupyter Notebook
28	jvpoulos/causal-ml Must-read papers and resources related to causal inference and machine...	35	Emerging	749	—
29	amazon-science/causal-validation Validate your causal models!	34	Emerging	6	Python
30	CyberAgentAILab/python-dte-adjustment dte_adj is a Python package for estimating distribution treatment effects....	34	Emerging	10	Jupyter Notebook
31	koalaverse/vip Variable Importance Plots (VIPs)	33	Emerging	190	R
32	phlippe/BISCUIT Official code of the paper "BISCUIT: Causal Representation Learning from...	33	Emerging	39	Python
33	zlxy9892/ST-CausalConvNet A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.	33	Emerging	36	Python
34	phlippe/CITRIS Code repository of the paper "CITRIS: Causal Identifiability from Temporal...	33	Emerging	58	Python
35	TimeLovercc/Awesome-Graph-Causal-Learning A list of Graph Causal Learning materials.	32	Emerging	209	—
36	carloscinelli/dml.sensemakr Sensitivity analysis tools for causal ML	32	Emerging	20	R
37	fulifeng/Causal_Reading_Group We will keep updating the paper list about machine learning + causal theory....	32	Emerging	516	—
38	Open-All-Scale-Causal-Engine/OpenASCE OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end...	31	Emerging	82	Python
39	reiinakano/invariant-risk-minimization Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893	30	Emerging	92	Jupyter Notebook
40	imirzadeh/awesome-causal-inference A (concise) curated list of awesome Causal Inference resources.	30	Emerging	258	—
41	i6092467/GVAR An interpretable framework for inferring nonlinear multivariate Granger...	29	Experimental	80	Python
42	TimeLovercc/CAF-GNN [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.	29	Experimental	14	Python
43	AIandGlobalDevelopmentLab/causalimages-software causalimages: An R package for performing causal inference with image and...	29	Experimental	8	R
44	causalgraph/causalgraph A python package for modeling, persisting and visualizing causal graphs...	28	Experimental	59	Python
45	mingzhang-yin/CoCo An optimization-based algorithm to accurately estimate the causal effects...	28	Experimental	14	Python
46	uhlerlab/graphical_model_learning Learning graphical models, with a focus on causal models and learning from...	28	Experimental	9	HTML
47	juangamella/causal-chamber-paper Code to reproduce the case studies of the 2024 paper "The Causal Chambers:...	27	Experimental	18	Jupyter Notebook
48	sschrod/BITES BITES: Balanced Individual Treatment Effect for Survival data	27	Experimental	19	Python
49	lianxhcn/open2025 2025 - 连享会系列公开课课程主页	26	Experimental	2	Jupyter Notebook
50	CausalInferenceLab/causal-inference-lecture 가짜연구소 인과추론팀 특강 및 발표자료 모음입니다.	26	Experimental	40	—
51	gmgeorg/pypsps Predictive State Propensity Subclassification (PSPS): A causal deep learning...	26	Experimental	18	Jupyter Notebook
52	KDL-umass/CausalGPSLC.jl Causal Inference using Gaussian Processes with Structured Latent...	26	Experimental	6	Julia
53	mayer79/effectplots Fast Effect Plots in R	25	Experimental	22	R
54	ehsanx/TMLEworkshop Targeted maximum likelihood estimation (TMLE) enables the integration of...	25	Experimental	12	HTML
55	changliu00/causal-semantic-generative-model Codes for Causal Semantic Generative model (CSG), the model proposed in...	24	Experimental	77	Python
56	rpatrik96/nl-causal-representations This is the code for the paper Jacobian-based Causal Discovery with...	23	Experimental	22	Python
57	HeyyyyyyG/CFIE PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering...	23	Experimental	26	Python
58	rpatrik96/lti-ica Independent Component Analysis in Linear Time-Invariant Systems	23	Experimental	2	Python
59	cjqshu/cjqshu.github.io Collection of quality resources — DownToOne	23	Experimental	1	Python
60	CetiAlphaFive/MLbalance Machine Learning Balance Tests (Rametta, Fuller 2026)	23	Experimental	1	R
61	Jay-Creative-Codes/awesome-ai-for-economists Compile and explore AI tools and resources designed to enhance economic...	22	Experimental	—	—
62	dai540/heteff R package for causal inference with generalized random forests, including...	22	Experimental	—	R
63	dream1290/causalxladder Environmental Pressure as a Driver of Causal Representation in Learning Systems	22	Experimental	—	Python
64	zealscott/Causality4Rec_Paperlist This repository collects recent top papers about causal inference for...	22	Experimental	16	—
65	christophergandrud/drlearner Doubly Robust Machine Learner with sample splitting for Heterogeneous...	22	Experimental	9	R
66	rafelps/RRULES-rule-based-classifier RRULES is a rule-based classifier that outperforms RULES, the original...	21	Experimental	8	Python
67	juangamella/icp Python implementation of the Invariant Causal Prediction (ICP) algorithm,...	20	Experimental	25	Python
68	m4urin/temporal-causal-discovery Researching causal relationships in time series data using Temporal...	20	Experimental	14	Jupyter Notebook
69	Larsvanderlaan/causalCalibration Code for causal isotonic calibration for heterogeneous treatment effects...	20	Experimental	7	R
70	JeanKaddour/SIN Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)	20	Experimental	42	Python
71	forestry-labs/distillML An R package providing functions for interpreting and distilling machine...	19	Experimental	9	R
72	raos-projects/causal-inference-workshop-2024 Lecture slides, video recordings, and coding exercises from the 2024...	19	Experimental	10	Stata
73	Ethan00Si/Instrumental-variables-for-recommendation The official implementation for WWW 2022 paper "A Model-Agnostic Causal...	19	Experimental	31	Python
74	hknd23/DeepLearningCausal functions to estimate the Conditional Average Treatment Effects (CATE) and...	18	Experimental	3	R
75	Bayer-Group/pybalance A library for minimizing the effects of confounding covariates	17	Experimental	15	Jupyter Notebook
76	cxy0714/Method-of-Moments-Inference-for-GLMs Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust...	16	Experimental	3	R
77	LOUEY233/Causal-representation-in-vision These are listed papers from causal inference and causal representation...	16	Experimental	4	—
78	tlverse/causalglm Interpretable and model-robust causal inference for heterogeneous treatment...	16	Experimental	27	R
79	alphanome-ai/gnn-causality-research Exploring Causal Inferences in Finance with Graph Neural Networks	15	Experimental	17	—
80	Zhuang-Zhuang-Liu/DeepUplift Heterogeneous Treatment Effect Explorer	14	Experimental	19	Jupyter Notebook
81	FlashZkd/causal-app 🧠 Run over 15 causal discovery algorithms locally with Causal App, an...	14	Experimental	—	Python
82	Ankitsoni2006/causal-inference-heart-disease Causal inference project using DAGs, counterfactual reasoning, and treatment...	14	Experimental	—	Jupyter Notebook
83	rickmer-schulte/Pretrained-Causal-Adjust Code for the ICML 2025 paper: "Adjustment for Confounding using Pre-Trained...	14	Experimental	3	Jupyter Notebook
84	blind-contours/SuperNOVA :dizzy: :dart: Automatic identification of variable and interaction...	14	Experimental	9	R
85	liuff19/ReScore [ICLR 2023] ReScore: Boosting Causal Discovery via Adaptive Sample Reweighting	14	Experimental	11	Python
86	JoaquinMateos/group-causation Group Causation is an open source Python library for causal discovery on...	13	Experimental	2	Python
87	annaguo-bios/fdcausal An R Package for Average Causal Effect Estimation via the Front-Door Functional	13	Experimental	2	R
88	sargun-nagpal/Causal-Counterfactual-Forecasting-ACIC2023 Code for Causal Inference (Spring 2023) Final Project @NYU. Causal...	13	Experimental	7	Jupyter Notebook
89	leelew/RFGranger Nonlinear Granger causality test based on random forest (source code of "A...	13	Experimental	7	MATLAB
90	kathoffman/lmtp-tutorial Corresponding code guide to the tutorial paper "Introducing longitudinal...	12	Experimental	27	R
91	Huang-qy-Chi/Deep-Conditional-Density-Learning A maximum-likelihood-based deep learning method for estimating the...	11	Experimental	—	Jupyter Notebook
92	amitabh-7t/ms-experimentation-causal-inference A complete end-to-end AI experimentation & causal inference project using...	10	Experimental	3	Jupyter Notebook

Comparisons in this category

causalml and scikit-uplift (88 vs 58) causalml and doubleml-for-py (88 vs 57) causalml and causeinfer (88 vs 61) causalml and CImpact (88 vs 41) causalml and Causalis (88 vs 40) causeinfer and scikit-uplift (61 vs 58) causallib and Causalis (58 vs 40)