| pgmpy: A Python Toolkit for Bayesian Networks | Apr 17, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 4 | 5 |
| DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions | Aug 27, 2021 | Causal Discovery | CodeCode Available | 3 | 5 |
| Causal-learn: Causal Discovery in Python | Jul 31, 2023 | Causal Discovery | CodeCode Available | 3 | 5 |
| A Survey on Causal Discovery Methods for I.I.D. and Time Series Data | Mar 27, 2023 | Causal DiscoveryTime Series | CodeCode Available | 3 | 5 |
| Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs | Oct 9, 2023 | Causal DiscoveryGraph Sampling | CodeCode Available | 2 | 5 |
| gCastle: A Python Toolbox for Causal Discovery | Nov 30, 2021 | Causal DiscoveryGPU | CodeCode Available | 2 | 5 |
| CausalFormer: An Interpretable Transformer for Temporal Causal Discovery | Jun 24, 2024 | Causal DiscoveryTime Series | CodeCode Available | 2 | 5 |
| CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series | Oct 3, 2024 | Causal DiscoveryTime Series | CodeCode Available | 2 | 5 |
| Causal Evaluation of Language Models | May 1, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 2 | 5 |
| Causal Reasoning and Large Language Models: Opening a New Frontier for Causality | Apr 28, 2023 | Causal DiscoveryCommon Sense Reasoning | CodeCode Available | 2 | 5 |
