https://github.com/DhiriaDev/TIMEX

Library for time-series-forecasting-as-a-service.
https://github.com/DhiriaDev/TIMEX

forecasting forecasting-a-a-service machine-learning time-series

Last synced: 3 months ago
JSON representation

Library for time-series-forecasting-as-a-service.

• Host: GitHub
• URL: https://github.com/DhiriaDev/TIMEX
• Owner: DhiriaDev
• License: agpl-3.0
• Created: 2020-10-26T13:44:50.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-06-24T20:21:06.000Z (over 1 year ago)
• Last Synced: 2024-05-21T13:32:22.299Z (9 months ago)
• Topics: forecasting, forecasting-a-a-service, machine-learning, time-series
• Language: Jupyter Notebook
• Homepage: https://alexmv12.github.io/TIMEX/timexseries/index.html
• Size: 33 MB
• Stars: 13
• Watchers: 4
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

• awesome_time_series_in_python - TIMEX - series-forecasting-as-a-service platforms/websites, with a fully automated data ingestion, pre-processing, prediction and results visualization pipeline. (Libraries)

README

        
# TIMEX

[![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)

![Coverage](badges/coverage.svg)

![PyPI](https://img.shields.io/pypi/v/timexseries)

![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries)

TIMEX (referred in code as `timexseries`) is a framework for time-series-forecasting-as-a-service.

Its main goal is to provide a simple and generic tool to build websites and, more in general,

platforms, able to provide the forecasting of time-series in the "as-a-service" manner.

This means that users should interact with the service as less as possible.

An example of the capabilities of TIMEX can be found at [covid-timex.it](https://covid-timex.it)  

That website is built using the [Dash](https://dash.plotly.com/), on which the visualization

part of TIMEX is built. A deep explanation is available in the 

[dedicated repository](https://github.com/AlexMV12/covid-timex.it).

## Installation

The main two dependencies of TIMEX are [Facebook Prophet](https://github.com/facebook/prophet)

and [PyTorch](https://pytorch.org/). 

If you prefer, you can install them beforehand, maybe because you want to choose the CUDA/CPU

version of Torch.

However, installation is as simple as running:

`pip install timexseries`

## Get started

Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate

the main characteristics of TIMEX. A Notebook explaining the covid-timex.it website is present,

along with the source code of the site, [here](https://github.com/AlexMV12/covid-timex.it).

## Documentation

The full documentation is available at [here](https://alexmv12.github.io/TIMEX/timexseries/index.html).

## Contacts

If you have questions, suggestions or problems, feel free to open an Issue.

You can contact us at:

- [email protected]

- [email protected]