A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
☆1,525Mar 19, 2026Updated this week
Alternatives and similar repositories for MAPIE
Users that are interested in MAPIE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python package for conformal prediction☆558Oct 9, 2025Updated 5 months ago
- A scikit-learn-compatible module for comparing imputation methods.☆140Jan 1, 2026Updated 2 months ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,185Mar 1, 2026Updated 3 weeks ago
- A Library for Uncertainty Quantification.☆920Apr 23, 2025Updated 11 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆377Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆253Mar 9, 2026Updated 2 weeks ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆450Nov 1, 2025Updated 4 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,020Nov 14, 2025Updated 4 months ago
- Extra blocks for scikit-learn pipelines.☆1,383Mar 12, 2026Updated last week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,214Mar 9, 2026Updated 2 weeks ago
- Python implementation of the conformal prediction framework.☆477Mar 20, 2021Updated 5 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆195Mar 8, 2026Updated 2 weeks ago
- Conformalized Quantile Regression☆303Feb 2, 2026Updated last month
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,727Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,575Feb 24, 2026Updated last month
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆737Mar 18, 2026Updated last week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,168Oct 4, 2025Updated 5 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,153Feb 6, 2026Updated last month
- An extension of XGBoost to probabilistic modelling☆695Dec 11, 2025Updated 3 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆129Nov 25, 2023Updated 2 years ago
- An extension of LightGBM to probabilistic modelling☆365Mar 18, 2026Updated last week
- 📧 Melusine: Use python to automatize your email processing workflow☆363Feb 26, 2026Updated 3 weeks ago
- A Python package for causal inference in quasi-experimental settings☆1,126Mar 16, 2026Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,194Updated this week
- Machine learning with dataframes☆1,582Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆229Jan 14, 2024Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,853Updated this week
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆316Mar 17, 2026Updated last week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆650Feb 19, 2024Updated 2 years ago
- Time series forecasting with machine learning models☆1,467Updated this week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆280Feb 24, 2026Updated last month
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,041Mar 3, 2026Updated 3 weeks ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,273Updated this week
- nannyml: post-deployment data science in python☆2,133Jul 12, 2025Updated 8 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆101Aug 31, 2022Updated 3 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆199Mar 2, 2026Updated 3 weeks ago
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated 3 weeks ago