Scalable machine 🤖 learning for time series forecasting.
☆1,279Sep 18, 2026Updated this week
Alternatives and similar repositories for mlforecast
Users that are interested in mlforecast 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.☆761Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,910Updated this week
- Scalable and user friendly neural forecasting algorithms.☆4,275Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆453Aug 4, 2026Updated last month
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆109Updated 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.
- TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained tran…☆4,009Updated this week
- Fast implementations of common forecasting routines☆43Updated this week
- Transfer 🤗 Learning for Time Series Forecasting☆259Dec 5, 2024Updated last year
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,185May 3, 2026Updated 4 months ago
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models☆1,535Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,520Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,591Sep 8, 2026Updated last week
- Automated Time Series Forecasting☆1,428Aug 25, 2026Updated 3 weeks ago
- Python package for conformal prediction☆582Jul 8, 2026Updated 2 months ago
- 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.
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,281Updated this week
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,306Aug 25, 2026Updated 3 weeks ago
- A unified framework for machine learning with time series☆10,024Updated this week
- Fast window operations☆44Jun 2, 2024Updated 2 years ago
- Flexible time series feature extraction & processing☆442Sep 6, 2024Updated 2 years ago
- Datasets for time series forecasting☆129Sep 7, 2026Updated last week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,154Sep 12, 2026Updated last week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,078May 22, 2026Updated 3 months ago
- 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
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The practitioner's forecasting library☆353Aug 9, 2026Updated last month
- Automatic extraction of relevant features from time series:☆9,424Jul 6, 2026Updated 2 months ago
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆713Oct 29, 2025Updated 10 months ago
- A python package for time series forecasting with scikit-learn estimators.☆163Apr 4, 2024Updated 2 years ago
- Forecasting with Gradient Boosted Time Series Decomposition☆198Jan 11, 2026Updated 8 months ago
- Probabilistic time series modeling in Python☆5,236Jul 31, 2026Updated last month
- Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters☆442Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,471Aug 19, 2026Updated last month
- An intuitive library to extract features from time series.☆1,101Updated this week
- 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.
- An extension of LightGBM to probabilistic modelling☆397Aug 14, 2026Updated last month
- NeuralProphet: A simple forecasting package☆4,299Jan 8, 2025Updated last year
- Time series forecasting with PyTorch☆4,993Updated this week
- nannyml: post-deployment data science in python☆2,155Jul 12, 2025Updated last year
- Time series easier, faster, more fun. Pytimetk.☆966Aug 5, 2026Updated last month
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆335Updated this week
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,169May 19, 2026Updated 4 months ago