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
  ☆2,932Updated 6 months ago
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,794Updated last year
• 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…
  ☆1,610Updated 2 months ago
• AileenNielsen / TimeSeriesAnalysisWithPython
  ☆1,840Updated 2 years ago
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆977Updated 6 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…
  ☆745Updated 4 months ago
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆516Updated 2 years ago
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,675Updated last week
• TDAmeritrade / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,741Updated this week
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,170Updated this week
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,529Updated this week
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,113Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated last month
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,139Updated 5 months ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆597Updated 5 months ago
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,729Updated 2 months ago
• Alro10 / deep-learning-time-series
  List of papers, code and experiments using deep learning for time series forecasting
  ☆2,643Updated 10 months ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆768Updated 11 months ago
• Azure / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆661Updated 4 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆869Updated last year
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆789Updated 3 years ago
• AIStream-Peelout / flow-forecast
  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
  ☆2,103Updated this week
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,928Updated 3 weeks ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆573Updated 2 years ago
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,081Updated this week
• PacktPublishing / Practical-Time-Series-Analysis
  Practical Time-Series Analysis, published by Packt
  ☆405Updated last year
• rob-med / awesome-TS-anomaly-detection
  List of tools & datasets for anomaly detection on time-series data.
  ☆2,999Updated 2 months ago
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,509Updated last year
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆757Updated 4 years ago