A library for Time Series EDA (exploratory data analysis)
APACHE-2.0 License
tslumen helps bring to light the key characteristics of your time series data with rich, pre-canned artifacts, packed with charts and statistical information. The primary goal of tslumen is to expedite and bring consistency to how time series EDA is performed, allowing you to uncover the fundamental aspects in seconds rather than hours or days.
Key features
See https://hsbc.github.io/tslumen/ for the complete documentation.
From PyPI:
pip install -U tslumen
From source:
# cd into tslumen after cloning the repo
make install
Refer to the Quick Start page of the documentation for a brief tour of the package.
Complete example notebooks can be found on the User Guide section of the documentation.
Contributions to tslumen are welcome. Please see our contribution guide for more details.