GitHub topic

forecasting GitHub repositories

Explore 19 tracked GitHub repositories tagged forecasting. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 16 stars since the previous daily snapshot.

Tracked repositories: 19
Total stars: 76,383
Stars gained · 7 days: +120
Stars gained · 30 days: +588

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Star activity for forecasting repositories on this page
Repository	Total stars	Today	7 days	30 days
amazon-science/chronos-forecasting	6.2K	+4	+42	+278
Nixtla/statsforecast	5.0K	+3	+9	+35
Nixtla/mlforecast	1.3K	+3	+8	+16
unit8co/darts	9.6K	+2	+6	+39
autogluon/autogluon	10.8K	+1	+7	+48

Explore repositories

Showing 1–19 of 19 tracked repositories.

amazon-science/chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

★ 6.2K+4 todayPython

llm machine-learning

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Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

★ 1.3K+3 todayPython

machine-learning time-series

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unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

★ 9.6K+2 todayPython

machine-learning deep-learning

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skforecast/skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

awslabs/gluonts

Probabilistic time series modeling in Python

★ 5.3K+1 todayPython

machine-learning deep-learning

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DaoSword/Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

★ 808+1 todayPython

machine-learning deep-learning

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aeon-toolkit/aeon

A toolkit for time series machine learning and deep learning

★ 1.5K+0 todayPython

ai machine-learning

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Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

sktime/sktime

A unified framework for machine learning with time series

★ 10.1K+0 todayPython

ai machine-learning

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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 🚀.

★ 4.0K+0 todayJupyter Notebook

llm agent

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WenjieDu/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

★ 2.1K+0 todayPython

machine-learning deep-learning

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TimeCopilot/timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

★ 627+0 todayPython

machine-learning agentic-ai

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