Skip to main content

Orange3 add-on for exploring time series and sequential data.

Project description


Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data. The add-on includes ANOVA and VAR models, model evaluation, time series preprocessing, seasonal adjustment and a wide array of visualizations. See documentation.


Use time series data

  • reinterpret data as time series
  • induce missing values
  • generate time series from Yahoo Finance stock market data

Analysis of time series data

  • aggregate data by a given time interval
  • decompose the time series into seasonal, trend, and residual components
  • apply rolling window functions to the time series
  • make forecasts for the future
  • evaluate models

Visualize time series data

  • visualize time series’ sequence and progression
  • visualize variables’ auto-correlation
  • visualize time series’ cycles, seasonality, periodicity, and most significant periods

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Orange3-Timeseries, version 0.3.7
Filename, size File type Python version Upload date Hashes
Filename, size Orange3-Timeseries-0.3.7.tar.gz (1.8 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page