Nixtla/nixtla
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 🚀.
TimeGPT-1 helps business analysts, operations managers, and data scientists accurately predict future trends and identify unusual events in time-series data like sales, electricity demand, or website traffic. You provide your historical data, and TimeGPT-1 generates precise forecasts or highlights anomalies, helping you make better decisions. It's designed for anyone needing to understand patterns and predict outcomes from data that changes over time.
3,792 stars. Actively maintained with 19 commits in the last 30 days. Available on PyPI.
Use this if you need to quickly and accurately forecast future values or detect unusual patterns in your time-series data without extensive model training.
Not ideal if you require a highly customized, niche model built from scratch for unique data types that do not fit standard time-series patterns.
Stars
3,792
Forks
317
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 13, 2026
Commits (30d)
19
Dependencies
9
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Nixtla/nixtla"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
andrewdalpino/NoPE-GPT
A GPT-style small language model (SLM) with no positional embeddings (NoPE).
sigdelsanjog/gptmed
pip install gptmed
akanyaani/gpt-2-tensorflow2.0
OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0
samkamau81/FinGPT_
FinGPT is an AI language model designed to understand and generate financial content. Built upon...
VinAIResearch/PhoGPT
PhoGPT: Generative Pre-training for Vietnamese (2023)