Calculates various features from time series data. Python implementation of the R package tsfeatures.
☆452Aug 4, 2026Updated 3 weeks ago
Alternatives and similar repositories for tsfeatures
Users that are interested in tsfeatures are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆758Aug 17, 2026Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,274Aug 20, 2026Updated last week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,891Updated this week
- Flexible time series feature extraction & processing☆442Sep 6, 2024Updated last year
- An intuitive library to extract features from time series.☆1,099Jan 30, 2026Updated 7 months 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.
- Datasets for time series forecasting☆128Updated this week
- Scalable and user friendly neural forecasting algorithms.☆4,258Updated this week
- python implementation of catch22☆101Aug 6, 2026Updated 3 weeks ago
- Automated Time Series Forecasting☆1,430Updated this week
- catch22: CAnonical Time-series CHaracteristics☆499Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,184May 3, 2026Updated 3 months ago
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆29Jun 5, 2020Updated 6 years ago
- Fast window operations☆44Jun 2, 2024Updated 2 years ago
- Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters☆442Jul 22, 2026Updated last month
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,071May 22, 2026Updated 3 months ago
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,584Aug 14, 2026Updated 2 weeks ago
- Hierarchical Time Series Forecasting with a familiar API☆225May 12, 2023Updated 3 years ago
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models☆1,529Updated this week
- Polars Time Series Extension☆45Jul 30, 2026Updated last month
- Fast implementations of common forecasting routines☆42Jul 27, 2026Updated last month
- A python package for time series forecasting with scikit-learn estimators.☆163Apr 4, 2024Updated 2 years ago
- An extension of XGBoost to probabilistic modelling☆728Aug 14, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- An extension of LightGBM to probabilistic modelling☆393Aug 14, 2026Updated 2 weeks ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,275Updated this week
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆109Updated this week
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆21Jul 25, 2026Updated last month
- A collection of MLflow custom flavors☆16Nov 17, 2023Updated 2 years ago
- State of the art time series forecasting method that has the FFORMA ensemble learn from the ESRNN hybrid model and others.☆13Sep 7, 2022Updated 3 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆680Apr 19, 2023Updated 3 years ago
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,997Updated this week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆764Aug 20, 2024Updated 2 years ago
- 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.
- Automatic extraction of relevant features from time series:☆9,302Jul 6, 2026Updated last month
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆809Jun 2, 2026Updated 2 months ago
- A unified framework for machine learning with time series☆9,973Updated this week
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,734Nov 17, 2025Updated 9 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆684Feb 19, 2025Updated last year
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆11Jul 6, 2023Updated 3 years ago
- Probabilistic time series modeling in Python☆5,232Jul 31, 2026Updated 3 weeks ago