Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal data π for machine learning applications π€
β710Oct 29, 2025Updated 4 months ago
Alternatives and similar repositories for temporian
Users that are interested in temporian are comparing it to the libraries listed below
Sorting:
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.β1,167Oct 4, 2025Updated 5 months ago
- Scalable machine π€ learning for time series forecasting.β1,181Updated this week
- A python package for time series forecasting with scikit-learn estimators.β162Apr 4, 2024Updated last year
- β115Feb 18, 2024Updated 2 years ago
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,708Updated this week
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in pythonβ309Updated this week
- Lightweight and extensible compatibility layer between dataframe libraries!β1,542Updated this week
- Time series forecasting with machine learning modelsβ1,457Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,520Feb 27, 2026Updated last week
- Polars plugin offering eXtra stuff for DateTimesβ233Dec 5, 2025Updated 3 months ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.β440Apr 23, 2024Updated last year
- A toolkit for time series machine learning and deep learningβ1,347Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,038Updated this week
- Automated Time Series Forecastingβ1,374Updated this week
- tsbootstrap: generate bootstrapped time series samples in Pythonβ87Jul 7, 2025Updated 7 months ago
- Probabilistic Hierarchical forecasting π with statistical and econometric methods.β736Updated this week
- Python package for conformal predictionβ555Oct 9, 2025Updated 4 months ago
- Fast implementations of common forecasting routinesβ43Feb 24, 2026Updated last week
- Flexible time series feature extraction & processingβ439Sep 6, 2024Updated last year
- Build MLOps Pipelines in Minutesβ257Jan 22, 2026Updated last month
- A Library for Uncertainty Quantification.β921Apr 23, 2025Updated 10 months ago
- Feature engineering and selection open-source Python library compatible with sklearn.β2,204Feb 25, 2026Updated last week
- STUMPY is a powerful and scalable Python library for modern time series analysisβ4,065Feb 22, 2026Updated last week
- A unified framework for machine learning with time seriesβ9,572Updated this week
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β372Feb 26, 2026Updated last week
- A library for Time Series EDA (exploratory data analysis)β72Aug 11, 2024Updated last year
- Forecasting with Gradient Boosted Time Series Decompositionβ199Jan 11, 2026Updated last month
- Scalable and user friendly neural forecasting algorithms.β3,991Feb 27, 2026Updated last week
- A python library for user-friendly forecasting and anomaly detection on time series.β9,237Updated this week
- A light-weight, flexible, and expressive statistical data testing libraryβ4,212Feb 19, 2026Updated 2 weeks ago
- Extra blocks for scikit-learn pipelines.β1,382Updated this week
- An intuitive library to extract features from time series.β1,081Jan 30, 2026Updated last month
- nannyml: post-deployment data science in pythonβ2,126Jul 12, 2025Updated 7 months ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analyβ¦β6,283Feb 27, 2026Updated last week
- A data modelling layer built on top of polars and pydanticβ608Feb 4, 2026Updated last month
- Probabilistic time series modeling in Pythonβ5,136Aug 14, 2025Updated 6 months ago
- Machine learning with dataframesβ1,572Updated this week
- π Online machine learning in Pythonβ5,735Updated this week
- Rethinking machine learning pipelinesβ34Sep 29, 2025Updated 5 months ago