Alternatives and similar repositories for awesome_time_series_in_python

Users that are interested in awesome_time_series_in_python are comparing it to the libraries listed below

• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆2,996Updated this week
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,823Updated last month
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,817Updated 4 months ago
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,653Updated 7 months ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,128Updated last year
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,287Updated this week
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,921Updated 3 weeks ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆781Updated last year
• AileenNielsen / TimeSeriesAnalysisWithPython
  ☆1,868Updated 3 years ago
• stumpy-dev / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,937Updated last week
• AIStream-Peelout / flow-forecast
  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
  ☆2,200Updated last week
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,841Updated last month
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆517Updated 2 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 10 months ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,162Updated 10 months ago
• Alro10 / deep-learning-time-series
  List of papers, code and experiments using deep learning for time series forecasting
  ☆2,714Updated last year
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆992Updated 11 months ago
• AutoViML / 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 Ra…
  ☆759Updated 10 months ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆576Updated 2 years ago
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,336Updated this week
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 2 months ago
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,021Updated this week
• hfawaz / dl-4-tsc
  Deep Learning for Time Series Classification
  ☆1,628Updated 2 years ago
• linkedin / luminol
  Anomaly Detection and Correlation library
  ☆1,214Updated 2 years ago
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,576Updated last year
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆737Updated 11 months ago
• wannesm / dtaidistance
  Time series distances: Dynamic Time Warping (fast DTW implementation in C)
  ☆1,170Updated this week
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆758Updated last year
• rob-med / awesome-TS-anomaly-detection
  List of tools & datasets for anomaly detection on time-series data.
  ☆3,076Updated 8 months ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆587Updated 3 years ago