Metadata-Version: 2.1
Name: cumulative
Version: 0.1.8
Summary: Manipulate and Visualize Time Series Collections.
Home-page: https://elehcimd.github.io/cumulative/
License: BSD-3
Author: Michele Dallachiesa
Author-email: michele.dallachiesa@sigforge.com
Requires-Python: >=3.10.0,<3.13.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: matplotlib (>=3.7.1)
Requires-Dist: mkdocs-glightbox (>=0.4.0,<0.5.0)
Requires-Dist: mltraq (>=0.1.136,<0.2.0)
Requires-Dist: pandas (>=1.5.3)
Requires-Dist: scikit-learn (>=1.2.2)
Requires-Dist: scipy (>=1.11.4)
Requires-Dist: statsmodels (>=0.14.1)
Requires-Dist: tabulate (>=0.9.0,<0.10.0)
Requires-Dist: tqdm (>=4.66.1)
Requires-Dist: tsfel (>=0.1.6)
Project-URL: Repository, https://github.com/elehcimd/cumulative
Description-Content-Type: text/markdown

<p align="center">
<img width="75%" height="75%" src="https://elehcimd.github.io/cumulative/assets//img/logo-wide-black.svg" alt="Cumulative Logo">
</p>

<p align="center">
<img src="https://elehcimd.github.io/cumulative/assets/img/badges/test.svg" alt="Test">
<img src="https://elehcimd.github.io/cumulative/assets//img/badges/coverage.svg" alt="Coverage">
<img src="https://elehcimd.github.io/cumulative/assets//img/badges/python.svg" alt="Python">
<img src="https://elehcimd.github.io/cumulative/assets//img/badges/pypi.svg" alt="PyPi">
<img src="https://elehcimd.github.io/cumulative/assets//img/badges/license.svg" alt="License">
<img src="https://elehcimd.github.io/cumulative/assets//img/badges/code-style.svg" alt="Code style">
</p>

---

<h1 align="center">
Manipulate and Visualize Time Series Collections.
</h1>

An open-source Python library for Data Scientists to efficiently manipulate collections of time series data. Features include data loading, transformation, persistence, and visualization.

---

* **Documentation**: [https://elehcimd.github.io/cumulative](https://elehcimd.github.io/cumulative)
* **Source code**: [https://github.com/elehcimd/cumulative](https://github.com/elehcimd/cumulative) (License: [BSD 3-Clause](https://elehcimd.github.io/cumulative/license/))
* **Discussions**: [Ask questions, share ideas, engage](https://github.com/elehcimd/cumulative/discussions)
* **Funding**: You can [star](https://github.com/elehcimd/cumulative) the project on GitHub and [hire me](https://www.linkedin.com/in/dallachiesa/) to make sense of your time series.

---


