Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
☆672Jan 13, 2025Updated last year
Alternatives and similar repositories for tfcausalimpact
Users that are interested in tfcausalimpact are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Python package for causal inference in quasi-experimental settings☆1,151Updated this week
- An R package for causal inference in time series☆1,839Mar 31, 2026Updated 2 months ago
- ☆158Feb 6, 2026Updated 4 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,875Updated this week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,677Updated this week
- 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.
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,471Updated this week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,158Updated this week
- Causal Inference for Time Series Data (with CausalML Demo)☆14Jun 11, 2023Updated 3 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆257May 9, 2026Updated last month
- A Python package for modular causal inference analysis and model evaluations☆822May 26, 2026Updated 3 weeks ago
- Synthetic difference in differences for Python☆88Apr 4, 2024Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆336Mar 23, 2023Updated 3 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,473Jan 26, 2026Updated 4 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,055May 22, 2026Updated 3 weeks ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆357Apr 15, 2026Updated 2 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,382Jun 9, 2026Updated last week
- AutoML for causal inference.☆241Dec 18, 2024Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆244Jul 30, 2020Updated 5 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,170Updated this week
- ☆530Dec 16, 2024Updated last year
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,047Jun 17, 2025Updated last year
- uplift modeling in scikit-learn style in python☆805Oct 21, 2023Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 3 years 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.
- Fit Sparse Synthetic Control Models in Python☆90Mar 26, 2024Updated 2 years ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,676Jan 14, 2026Updated 5 months ago
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- DoubleML - Double Machine Learning in Python☆743Jun 4, 2026Updated 2 weeks ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆745Jun 8, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,553Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,809Updated this week
- Time should be taken seer-iously☆320Mar 17, 2023Updated 3 years ago
- Mis proyectos de marketing aplicando AI☆10Oct 31, 2025Updated 7 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 4 months ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆71Jun 1, 2023Updated 3 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆446Apr 23, 2024Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆800Dec 1, 2025Updated 6 months ago
- difference-in-differences in Python☆110Apr 12, 2026Updated 2 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,519Jul 13, 2025Updated 11 months ago
- A Python package for causal inference using Synthetic Controls☆194Jan 25, 2024Updated 2 years ago