TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
☆3,796Mar 18, 2026Updated last week
Alternatives and similar repositories for nixtla
Users that are interested in nixtla are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scalable and user friendly neural forecasting algorithms.☆4,010Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,727Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,194Updated this week
- Chronos: Pretrained Models for Time Series Forecasting☆4,944Feb 20, 2026Updated last month
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆737Updated this week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,559Jun 6, 2025Updated 9 months ago
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecast…☆10,092Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,273Updated this week
- Transfer 🤗 Learning for Time Series Forecasting☆257Dec 5, 2024Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- Probabilistic time series modeling in Python☆5,146Mar 17, 2026Updated last week
- Unified Training of Universal Time Series Forecasting Transformers☆1,448Jan 29, 2026Updated last month
- A unified framework for machine learning with time series☆9,650Updated this week
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,582Oct 15, 2025Updated 5 months ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,787Mar 15, 2026Updated last week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,289Mar 16, 2026Updated last week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,472Mar 11, 2026Updated last week
- Datasets for time series forecasting☆121Mar 9, 2026Updated 2 weeks ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,015Mar 8, 2026Updated 2 weeks ago
- Time series forecasting with PyTorch☆4,832Mar 15, 2026Updated last week
- ☆821Aug 26, 2024Updated last year
- NeuralProphet: A simple forecasting package☆4,259Jan 8, 2025Updated last year
- Automated Time Series Forecasting☆1,382Updated this week
- Foundation Models for Time Series☆817Updated this week
- TimeGPT forecaster example using streamlit☆44Aug 5, 2023Updated 2 years ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,071Feb 22, 2026Updated last month
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆102Mar 17, 2026Updated last week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,168Oct 4, 2025Updated 5 months ago
- Automatic extraction of relevant features from time series:☆9,151Nov 15, 2025Updated 4 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,489Aug 12, 2024Updated last year
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆643Jan 8, 2024Updated 2 years ago
- R SDK for TimeGPT☆41Feb 17, 2025Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,041Mar 3, 2026Updated 3 weeks ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,083Mar 2, 2026Updated 3 weeks ago
- Time series forecasting with machine learning models☆1,467Updated this week
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆728Feb 10, 2026Updated last month
- Fast implementations of common forecasting routines☆43Mar 9, 2026Updated 2 weeks ago
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,277Feb 9, 2026Updated last month
- The machine learning toolkit for time series analysis in Python☆3,126Updated this week