biolab/orange3-timeseries

Name: orange3-timeseries

Owner: Bioinformatics Laboratory

Description: ? :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

Created: 2016-07-12 22:07:15.0

Updated: 2017-12-08 13:54:29.0

Pushed: 2018-01-11 18:58:07.0

Homepage:

Size: 1919

Language: Python

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README

Orange3-Timeseries

Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

License: CC-BY-NC-3.0

In order to use this package commercially, please obtain a Highcharts license.

Package documentation: http://orange3-timeseries.readthedocs.io/

Installing
With Anaconda

The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is with Anaconda distribution for your OS (Python version 3.5). In your Anaconda Prompt, first add conda-forge to your channels:

conda config --add channels conda-forge

Then install Orange3:

conda install orange3

This will install the latest release of Orange. Then install Orange3-Timeseries:

pip install Orange3-Timeseries

Run:

orange-canvas

to open Orange and check if everything is installed properly.

From source

To install the add-on from source

# Clone the repository and move into it
git clone https://github.com/biolab/orange3-timeseries.git
cd orange3-timeseries

# Install corresponding wheels for your OS:
pip install some-wheel.whl

# Install Orange3-Timeseries in editable/development mode.
pip install -e .

To register this add-on with Orange, run

python setup.py install

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.