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 🚀.
☆3,965Jul 21, 2026Updated this 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:
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,846Updated this week
- Scalable and user friendly neural forecasting algorithms.☆4,211Updated this week
- Chronos: Pretrained Models for Time Series Forecasting☆5,648Jul 2, 2026Updated 3 weeks ago
- Scalable machine 🤖 learning for time series forecasting.☆1,255Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆752Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,471Updated this week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,595Jun 6, 2025Updated last year
- Transfer 🤗 Learning for Time Series Forecasting☆258Dec 5, 2024Updated last year
- Probabilistic time series modeling in Python☆5,222Updated this week
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecast…☆27,028Jul 14, 2026Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆451Apr 23, 2024Updated 2 years ago
- A unified framework for machine learning with time series☆9,872Updated this week
- Unified Training of Universal Time Series Forecasting Transformers☆1,554Jun 2, 2026Updated last month
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,486Mar 11, 2026Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,324Jul 7, 2026Updated 2 weeks ago
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,670Oct 15, 2025Updated 9 months ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆12,655Apr 18, 2026Updated 3 months ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,097Jun 12, 2026Updated last month
- Time series forecasting with PyTorch☆4,958Updated this week
- Datasets for time series forecasting☆129Updated this week
- NeuralProphet: A simple forecasting package☆4,292Jan 8, 2025Updated last year
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆808Feb 10, 2026Updated 5 months ago
- ☆830Aug 26, 2024Updated last year
- 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.
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆985Mar 21, 2026Updated 4 months ago
- Automated Time Series Forecasting☆1,423Updated this week
- Automatic extraction of relevant features from time series:☆9,277Jul 6, 2026Updated 2 weeks ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,117Updated this week
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆106Updated this week
- Foundation Models for Time Series☆873Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,063May 22, 2026Updated 2 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,657Aug 12, 2024Updated last year
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,322May 8, 2026Updated 2 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.
- DSPy: The framework for programming—not prompting—language models☆36,306Updated this week
- ⚡ TabPFN: Foundation Model for Tabular Data ⚡☆7,639Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,182May 3, 2026Updated 2 months ago
- TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and dete…☆581Jun 25, 2026Updated 3 weeks ago
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models☆1,523Updated this week
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆665Jan 8, 2024Updated 2 years ago
- Fast and Accurate ML in 3 Lines of Code☆10,549Updated this week