A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
☆326Jun 24, 2026Updated last week
Alternatives and similar repositories for skpro
Users that are interested in skpro are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆40Jun 22, 2026Updated last week
- Supervised forecasting of sequential data in Python.☆55Jan 2, 2019Updated 7 years ago
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆15Dec 20, 2019Updated 6 years ago
- Quantile Regression Forests compatible with scikit-learn.☆253Jun 22, 2026Updated last week
- An extension of LightGBM to probabilistic modelling☆387Jun 1, 2026Updated last month
- 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.
- Python package for conformal prediction☆576Jun 12, 2026Updated 2 weeks ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,558Jun 24, 2026Updated last week
- A multiverse of Prophet models for timeseries☆82May 19, 2026Updated last month
- A package for online distributional learning.☆35Jun 16, 2026Updated 2 weeks ago
- implementation of Cyclic Boosting machine learning algorithms☆96Sep 2, 2024Updated last year
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆748Updated this week
- An extension of XGBoost to probabilistic modelling☆722Jun 1, 2026Updated last month
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆713Oct 29, 2025Updated 8 months ago
- tsbootstrap: generate bootstrapped time series samples in Python☆91Jun 24, 2026Updated last week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,180May 3, 2026Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆229Jan 14, 2024Updated 2 years ago
- Extra blocks for scikit-learn pipelines.☆1,399Jun 22, 2026Updated last week
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆596Aug 2, 2024Updated last year
- Fast and modular sklearn replacement for generalized linear models☆201Jun 5, 2026Updated 3 weeks ago
- A unified framework for machine learning with time series☆9,821Updated this week
- ☆114Feb 18, 2024Updated 2 years ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆395Jun 23, 2026Updated last week
- ☆24Apr 13, 2026Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- High performance Python GLMs with all the features!☆379Jun 22, 2026Updated last week
- A toolkit for time series machine learning and deep learning☆1,404Updated this week
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆25Feb 18, 2025Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆117May 1, 2026Updated 2 months ago
- A Library for Uncertainty Quantification.☆927Apr 23, 2025Updated last year
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,274Jun 24, 2026Updated last week
- ☆48Jan 13, 2025Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,886Updated this week
- 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.
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,819Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,237Updated this week
- Rethinking machine learning pipelines☆37Sep 29, 2025Updated 9 months ago
- Probabilistic prediction with XGBoost.☆121Mar 22, 2025Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆163Apr 4, 2024Updated 2 years ago
- Competing Risks and Survival Analysis☆117Updated this week
- Universal 1d/2d data containers with Transformers functionality for data analysis.☆26Jun 21, 2022Updated 4 years ago