SaaSHub helps you find the best software and product alternatives Learn more →
Top 13 Jupyter Notebook Forecasting Projects
-
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
-
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 🚀.
Project mention: Google's 200M-parameter time-series foundation model with 16k context | news.ycombinator.com | 2026-03-30 -
-
covid19-severity-prediction
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
-
GAN-RNN_Timeseries-imputation
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
-
DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
-
-
Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
-
finite-element-networks
Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
-
-
-
lockdowndates
Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook Forecasting discussion
Jupyter Notebook Forecasting related posts
-
AI and Time Series Data: Harnessing Temporal Insights in a Digital Age
-
Benchmarking foundation models for time series
-
TimeGPT: Production Ready Time Series Foundation Model for Forecasting
-
Deep_XF: NEW Data - star count:100.0
-
Deep_XF: NEW Data - star count:100.0
-
We're building PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series
-
GAN-RNN_Timeseries-imputation: NEW Data - star count:133.0
-
A note from our sponsor - SaaSHub
www.saashub.com | 14 Aug 2026
Index
What are some of the best open-source Forecasting projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | DeepLearningExamples | 14,847 |
| 2 | tsai | 6,102 |
| 3 | nixtla | 3,986 |
| 4 | uni2ts | 1,567 |
| 5 | covid19-severity-prediction | 231 |
| 6 | GAN-RNN_Timeseries-imputation | 173 |
| 7 | DataDrivenDynSyst | 171 |
| 8 | BrewPOTS | 126 |
| 9 | Deep_XF | 118 |
| 10 | finite-element-networks | 70 |
| 11 | chainopy | 23 |
| 12 | wb_gdp_predict | 8 |
| 13 | lockdowndates | 6 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com