TimeGPT-2.1: 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 π.
β4,039Oct 28, 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:
- Scalable and user friendly neural forecasting algorithms.β4,301Updated this week
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,957Updated this week
- Scalable machine π€ learning for time series forecasting.β1,300Updated this week
- Chronos: Pretrained Models for Time Series Forecastingβ6,222Oct 5, 2026Updated 3 weeks ago
- Probabilistic Hierarchical forecasting π with statistical and econometric methods.β767Updated this week
- Managed Database hosting by DigitalOcean β’ AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A python library for user-friendly forecasting and anomaly detection on time series.β9,571Updated this week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecastingβ1,601Jun 6, 2025Updated last year
- Probabilistic time series modeling in Pythonβ5,257Oct 13, 2026Updated 2 weeks ago
- Unified Training of Universal Time Series Forecasting Transformersβ1,617Jun 2, 2026Updated 4 months ago
- Transfer π€ Learning for Time Series Forecastingβ259Dec 5, 2024Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.β453Aug 4, 2026Updated 2 months ago
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecastβ¦β34,909Sep 29, 2026Updated last month
- A unified framework for machine learning with time seriesβ10,084Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analyβ¦β6,505Updated this week
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ICLR 2024] Official implementation of " π¦ Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"β2,712Oct 15, 2025Updated last year
- Merlion: A Machine Learning Framework for Time Series Intelligenceβ4,488Mar 11, 2026Updated 7 months ago
- Time series forecasting with PyTorchβ5,009Updated this week
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.β13,034Apr 18, 2026Updated 6 months ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series anβ¦β6,140Jul 23, 2026Updated 3 months ago
- NeuralProphet: A simple forecasting packageβ4,313Updated this week
- Automated Time Series Forecastingβ1,434Updated this week
- Automatic extraction of relevant features from time series:β9,483Jul 6, 2026Updated 3 months ago
- Datasets for time series forecastingβ129Updated this week
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- β834Aug 26, 2024Updated 2 years ago
- STUMPY is a powerful and scalable Python library for modern time series analysisβ4,169Oct 16, 2026Updated 2 weeks ago
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24β865Feb 10, 2026Updated 8 months ago
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"β1,007Mar 21, 2026Updated 7 months ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.β20,468Oct 22, 2026Updated last week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,083May 22, 2026Updated 5 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arβ¦β2,741Aug 12, 2024Updated 2 years ago
- TimeGPT forecaster example using streamlitβ45Aug 5, 2023Updated 3 years ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecastingβ109Updated this week
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Foundation Models for Time Seriesβ918Updated this week
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation modelsβ1,544Updated this week
- TimeCopilot: the Agentic Forecasting Framework. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, anβ¦β631Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.β1,189May 3, 2026Updated 5 months ago
- β‘ TabPFN: Foundation Model for Tabular Data β‘β8,338Updated this week
- The machine learning toolkit for time series analysis in Pythonβ3,190Updated this week
- Fast and Accurate ML in 3 Lines of Codeβ10,804Updated this week