An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS
An easy to use low-code open-source python framework for Time Series analysis, visualization and forecasting along with AutoTS.
I was deeply inspired by pycaret which is an amazing library for Machine Learning, and I wanted to create a similar library for Time Series Analysis.
Therefore, the interface and features provided are very similar to pycaret but focused and customized towards Time Series.
Pytsal is the abbreviation for Python Time Series Analysis Library
Checklist of features the library currently offers and plans to offer.
Convention used below: Feature [status]
The following instructions will get you a copy of the project and ready for use for your python projects.
Download from PyPi.org
pip install pytsal
Requires Python version >=3.6
Clone this repository using the command:
git clone https://github.com/KrishnanSG/pytsal.git
cd pytsal
Then install the library using the command:
python setup.py install
Tutorials on how to use the library can be found under the examples folder
The tutorials clearly explain how to use the library and also provide basic guide to understand time series analysis.
The library isn't mature or stable for production use yet.
The best use of the library currently would be for non production use and rapid prototyping.
Made with contributors-img.
Contributions are always welcomed, it would be great to have people use and contribute to this project so as to help users understand and benefit from the library.