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Top 23 Jupyter Notebook time-series Projects
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SaaSHub
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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
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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 -
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Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
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Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
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awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
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tempo
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation (by databrickslabs)
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Time-Series-Transformer
A data preprocessing package for time series data. Design for machine learning and deep learning.
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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 time-series discussion
Jupyter Notebook time-series related posts
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AI and Time Series Data: Harnessing Temporal Insights in a Digital Age
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Benchmarking foundation models for time series
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TimeGPT: Production Ready Time Series Foundation Model for Forecasting
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For deep learning practitioners in industry, is the workflow always this annoying? [D]
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Auto_TS: NEW Data - star count:558.0
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Auto_TS: NEW Data - star count:558.0
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Auto_TS: NEW Data - star count:558.0
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source time-series projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | pycaret | 9,744 |
| 2 | tsfresh | 9,266 |
| 3 | tsai | 6,088 |
| 4 | nixtla | 3,943 |
| 5 | alibi-detect | 2,535 |
| 6 | Getting-Things-Done-with-Pytorch | 2,494 |
| 7 | Autoformer | 2,462 |
| 8 | awesome-ai-ml-dl | 1,684 |
| 9 | fg-data-synthetic | 1,645 |
| 10 | uni2ts | 1,542 |
| 11 | fecon235 | 1,258 |
| 12 | telemanom | 1,160 |
| 13 | conformal-prediction | 1,066 |
| 14 | Auto_TS | 767 |
| 15 | stock-prediction-deep-neural-learning | 683 |
| 16 | deltapy | 557 |
| 17 | Econometrics-With-Python | 499 |
| 18 | TimeSynth | 382 |
| 19 | tempo | 342 |
| 20 | tsdownsample | 234 |
| 21 | Time-Series-Transformer | 216 |
| 22 | Anomaly_Detection_Tuto | 190 |
| 23 | fnn | 135 |
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