Nixtla / neuralforecastView external linksLinks
Scalable and user friendly neural forecasting algorithms.
☆3,968Updated this week
Alternatives and similar repositories for neuralforecast
Users that are interested in neuralforecast are comparing it to the libraries listed below
Sorting:
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,687Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,160Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆729Updated this week
- Probabilistic time series modeling in Python☆5,131Aug 14, 2025Updated 5 months ago
- Time series forecasting with PyTorch☆4,774Feb 4, 2026Updated last week
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,200Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,659Updated this week
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,515Feb 1, 2026Updated last week
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,993Jul 29, 2025Updated 6 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,444Aug 12, 2024Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- NeuralProphet: A simple forecasting package☆4,245Jan 8, 2025Updated last year
- A unified framework for machine learning with time series☆9,493Updated this week
- Transfer 🤗 Learning for Time Series Forecasting☆257Dec 5, 2024Updated last year
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,422Jan 27, 2024Updated 2 years ago
- Automated Time Series Forecasting☆1,366Updated this week
- Chronos: Pretrained Models for Time Series Forecasting☆4,805Jan 19, 2026Updated 3 weeks ago
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,272Feb 5, 2026Updated last week
- ☆192Mar 22, 2023Updated 2 years ago
- Time series forecasting with machine learning models☆1,436Updated this week
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,517Oct 15, 2025Updated 3 months ago
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,359Jun 14, 2024Updated last year
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,282Feb 3, 2026Updated last week
- ☆210Feb 16, 2022Updated 3 years ago
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,470Jun 20, 2024Updated last year
- Unified Training of Universal Time Series Forecasting Transformers☆1,415Jan 29, 2026Updated 2 weeks ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,167Oct 4, 2025Updated 4 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,033Jun 5, 2025Updated 8 months ago
- Automatic extraction of relevant features from time series:☆9,109Nov 15, 2025Updated 2 months ago
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecast…☆7,715Jan 27, 2026Updated 2 weeks ago
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,945Jan 18, 2026Updated 3 weeks ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,061Feb 7, 2026Updated last week
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,960Aug 8, 2024Updated last year
- The machine learning toolkit for time series analysis in Python☆3,093Feb 6, 2026Updated last week
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆903Mar 3, 2023Updated 2 years ago
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,006Jul 17, 2025Updated 6 months ago
- List of papers, code and experiments using deep learning for time series forecasting☆2,765Mar 16, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,511Feb 6, 2026Updated last week
- Foundation Models for Time Series☆780Updated this week