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 π.
β3,826Apr 7, 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.β4,045Updated this week
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,747Apr 6, 2026Updated last week
- Scalable machine π€ learning for time series forecasting.β1,204Apr 6, 2026Updated last week
- Chronos: Pretrained Models for Time Series Forecastingβ5,090Mar 18, 2026Updated 3 weeks ago
- Probabilistic Hierarchical forecasting π with statistical and econometric methods.β742Apr 6, 2026Updated last 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.
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecastingβ1,568Jun 6, 2025Updated 10 months ago
- A python library for user-friendly forecasting and anomaly detection on time series.β9,322Updated this week
- Transfer π€ Learning for Time Series Forecastingβ257Dec 5, 2024Updated last year
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecastβ¦β16,327Apr 3, 2026Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.β441Apr 23, 2024Updated last year
- Probabilistic time series modeling in Pythonβ5,160Mar 17, 2026Updated 3 weeks ago
- Unified Training of Universal Time Series Forecasting Transformersβ1,464Jan 29, 2026Updated 2 months ago
- A unified framework for machine learning with time seriesβ9,727Updated this week
- [ICLR 2024] Official implementation of " π¦ Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"β2,608Oct 15, 2025Updated 5 months ago
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.β11,994Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analyβ¦β6,293Mar 16, 2026Updated 3 weeks ago
- Merlion: A Machine Learning Framework for Time Series Intelligenceβ4,472Mar 11, 2026Updated last month
- Datasets for time series forecastingβ122Mar 30, 2026Updated 2 weeks ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series anβ¦β6,028Mar 8, 2026Updated last month
- Time series forecasting with PyTorchβ4,860Updated this week
- β823Aug 26, 2024Updated last year
- NeuralProphet: A simple forecasting packageβ4,265Jan 8, 2025Updated last year
- Automated Time Series Forecastingβ1,385Updated this week
- Deploy open-source AI quickly and easily - Bonus Offer β’ AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Foundation Models for Time Seriesβ834Updated this week
- STUMPY is a powerful and scalable Python library for modern time series analysisβ4,076Apr 4, 2026Updated last week
- TimeGPT forecaster example using streamlitβ44Aug 5, 2023Updated 2 years ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecastingβ105Apr 5, 2026Updated last week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.β1,167Oct 4, 2025Updated 6 months ago
- Automatic extraction of relevant features from time series:β9,169Nov 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://arβ¦β2,514Aug 12, 2024Updated last year
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"β645Jan 8, 2024Updated 2 years ago
- R SDK for TimeGPTβ41Feb 17, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,045Mar 3, 2026Updated last month
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.β20,113Updated this week
- Time series forecasting with machine learning modelsβ1,476Updated this week
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24β740Feb 10, 2026Updated 2 months ago
- Fast implementations of common forecasting routinesβ43Mar 9, 2026Updated last month
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).β2,277Feb 9, 2026Updated 2 months ago
- The machine learning toolkit for time series analysis in Pythonβ3,135Updated this week