Jupyter Notebook time-series

Open-source Jupyter Notebook projects categorized as time-series

Top 23 Jupyter Notebook time-series Projects

  • tsfresh

    Automatic extraction of relevant features from time series:

    Project mention: [D] Incorporating external data in LSTM models for sales forecasting in e-commerce | /r/MachineLearning | 2023-03-20

    don't forget your feature engineering -> https://github.com/blue-yonder/tsfresh

  • pycaret

    An open-source, low-code machine learning library in Python

    Project mention: pycaret: An open-source, low-code machine learning library in Python | /r/coolgithubprojects | 2022-09-13
  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • Data-science

    Collection of useful data science topics along with articles, videos, and code (by khuyentran1401)

  • tsai

    Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

    Project mention: What is the current state-of-art in sequence classification? | /r/learnmachinelearning | 2022-10-13

    You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p

  • state-spaces

    Sequence Modeling with Structured State Spaces

  • Autoformer

    About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

    Project mention: [P] ts-tok: Time-Series Forecasting with Classification | /r/deeplearning | 2023-05-15

    The CustomDataset can use the datasets from here: google drive. source: https://github.com/thuml/Autoformer

  • ydata-synthetic

    Synthetic data generators for tabular and time-series data

    Project mention: AI generated anything will be used to train AI models, since the best images/text/x typically is produced AI models will inevitably get smarter. | /r/singularity | 2023-06-06

    This is also a hot topic in the Data-Centric AI Community

  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

  • 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

    Project mention: Financial Economics: Financial Economics Models. Extended Research - star count:915.0 | /r/algoprojects | 2023-06-06
  • 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.

    Project mention: telemanom: NEW Data - star count:833.0 | /r/algoprojects | 2022-12-10
  • Auto_TS

    Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

    Project mention: Auto_TS: NEW Data - star count:558.0 | /r/algoprojects | 2023-03-25
  • deltapy

    DeltaPy - Tabular Data Augmentation (by @firmai)

  • conformal-prediction

    Lightweight, useful implementation of conformal prediction on real data.

    Project mention: Tutorial on conformal prediction for uncertainty quantification | /r/learnmachinelearning | 2022-09-25
  • stock-prediction-deep-neural-learning

    Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

    Project mention: stock-prediction-deep-neural-learning: NEW Deep Learning And Reinforcement Learning - star count:250.0 | /r/algoprojects | 2023-02-04
  • TimeSynth

    A Multipurpose Library for Synthetic Time Series Generation in Python

  • 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)

  • Anomaly_Detection_Tuto

    Anomaly detection tutorial on univariate time series with an auto-encoder

  • Time-Series-Transformer

    A data preprocessing package for time series data. Design for machine learning and deep learning.

    Project mention: Time-Series-Transformer: NEW Data - star count:153.0 | /r/algoprojects | 2023-01-14
  • fnn

    Embed strange attractors using a regularizer for autoencoders

  • dtan

    Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.

  • CyRK

    Runge-Kutta ODE Integrator Implemented in Cython and Numba

    Project mention: CyRK – An Open-Source, Cython and Numba Based Runge-Kutta Integrator That Works With Python Functions | /r/Python | 2022-09-18
  • dspytai

    EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.

    Project mention: DspytAI Real-Time Portfolio Tracking & Price Prediction Tool | dev.to | 2022-12-15

    Welcome to DspytAI, the Uniswap powered Dapp that uses on-chain data and machine learning to predict potential price fluctuations in real-time. With our browser-based frontend, you can determine price averages for any ERC20 contract and access simple, free to use downloadable price prediction data in both text based csv format and image based png and svg formats. Unlock the future of Uniswap trading with DspytAI and track your Uniswap portfolio with confidence.

  • lockdowndates

    Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.

  • WeatherInterpolation

    Simulating Sensor Error & Interpolating Gaps with Deep Learning

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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). The latest post mention was on 2023-06-06.

Jupyter Notebook time-series related posts


What are some of the best open-source time-series projects in Jupyter Notebook? This list will help you:

Project Stars
1 tsfresh 7,392
2 pycaret 7,342
3 Data-science 3,712
4 tsai 3,519
5 state-spaces 1,194
6 Autoformer 1,123
7 ydata-synthetic 1,001
8 fecon235 915
9 telemanom 878
10 Auto_TS 585
11 deltapy 494
12 conformal-prediction 367
13 stock-prediction-deep-neural-learning 310
14 TimeSynth 290
15 tempo 260
16 Anomaly_Detection_Tuto 176
17 Time-Series-Transformer 170
18 fnn 109
19 dtan 63
20 CyRK 8
21 dspytai 7
22 lockdowndates 5
23 WeatherInterpolation 0
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives