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
Alternatives and similar repositories for tigramite
Users that are interested in tigramite are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆538Oct 1, 2021Updated 4 years ago
- 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
- Causal discovery for time series☆109Feb 23, 2022Updated 4 years ago
- Python package for causal discovery based on LiNGAM.☆507Sep 8, 2026Updated 2 weeks ago
- Trustworthy AI related projects☆1,142Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,481Aug 31, 2026Updated 3 weeks ago
- 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
- Granger causality discovery for neural networks.☆249Mar 9, 2021Updated 5 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆222Mar 25, 2022Updated 4 years ago
- An index of algorithms for learning causality with data☆3,286Jan 22, 2025Updated last year
- A Python package for modular causal inference analysis and model evaluations☆837May 26, 2026Updated 4 months ago
- ☆536Sep 19, 2026Updated last week
- Causal discovery algorithms and tools for implementing new ones☆252Jul 22, 2026Updated 2 months ago
- A graphic user interface module for the causal time series analysis tool tigramite.☆18Sep 25, 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.
- Uplift modeling and causal inference with machine learning algorithms☆6,009Aug 20, 2026Updated last month
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆32Jan 2, 2023Updated 3 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,800Updated this week
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Aug 14, 2024Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆693May 26, 2026Updated 4 months ago
- CausalFlow: a Unified Framework for Causality in Time-Series☆73May 10, 2026Updated 4 months ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆447Updated this week
- TIme series DiscoverY BENCHmark (tidybench)☆38Feb 21, 2024Updated 2 years ago
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆324May 1, 2025Updated last year
- 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 causal inference in quasi-experimental settings☆1,196Updated this week
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆36Oct 3, 2020Updated 5 years ago
- Causal Neural Nerwork☆165Sep 26, 2025Updated last year
- Causal Discovery from Nonstationary/Heterogeneous Data.☆61Jul 27, 2020Updated 6 years ago
- The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…☆301May 21, 2026Updated 4 months 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
- [Experimental] Global causal discovery algorithms☆116Aug 31, 2026Updated 3 weeks ago
- DoubleML - Double Machine Learning in Python☆790Updated this week
- Python package for causal inference using Bayesian structural time-series models.☆242Jul 30, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Implement PC algorithm in Python | PC 算法的 Python 实现☆117Oct 29, 2023Updated 2 years ago
- Filtered - PCMCI (F-PCMCI) causal discovery algorithm. Extension of the PCMCI causal discovery algorithm augmented with a feature selecti…☆32Jun 22, 2025Updated last year
- 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
- The machine learning toolkit for time series analysis in Python☆3,180Updated this week
- Python package for (conditional) independence testing and statistical functions related to causality.☆32Sep 14, 2026Updated 2 weeks ago
- Python Toolkit for Causal and Probabilistic Reasoning☆3,341Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆678Sep 20, 2026Updated last week