Metadata-Version: 2.3
Name: gloria
Version: 0.1.1
Summary: Gloria is a modern open-source framework for time series analysis and forecasting.
Author: Benjamin Kambs
Author-email: b.kambs@e-dynamics.de
Requires-Python: >=3.9,<3.13
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: cmdstanpy (>=1.2.5,<2.0.0)
Requires-Dist: holidays (>=0.67,<0.68)
Requires-Dist: matplotlib (<=3.9.4)
Requires-Dist: numpy (<=2.0.2)
Requires-Dist: pandas (>=2.2.3,<3.0.0)
Requires-Dist: pydantic (>=2.10.6,<3.0.0)
Requires-Dist: scipy (<=1.13.1)
Requires-Dist: seaborn (>=0.13.2,<0.14.0)
Requires-Dist: sktime (>=0.37.0,<0.38.0)
Requires-Dist: tomli (>=2.2.1,<3.0.0)
Project-URL: Documentation, https://e-dyn.github.io/gloria/
Project-URL: Homepage, https://www.e-dynamics.de/
Project-URL: Repository, https://github.com/e-dyn/gloria
Description-Content-Type: text/markdown

<h1 align="center">
  <img src="https://e-dyn.github.io/gloria/_static/glorialogo.png" alt="Gloria Logo" style="width:70%;">
</h1><br>

![Static Badge](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Linting: Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![Checked with mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/)
[![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://docs.pydantic.dev/latest/contributing/#badges)

Gloria is a modern open-source framework for time series analysis and forecasting, designed for the demands of complex, real-world data. It combines robust statistical modeling with flexible controls and full transparency to enable trustworthy forecasting.

## Key Features

* **Distributional Flexibility**: Go beyond the normal distribution and model count data (Poisson, Binomial, Negative Binomial, Beta-Binomial), bounded rates (Beta), or non-negative floats (Gamma) natively
* **Any Time Grid**: Gloria handles arbitrary sampling intervals (not just daily)
* **Rich Event Modeling**: Parametric and extensible event library to handle holidays, campaigns, or maintenance windows - any event, any shape, for realistic impacts and reduced overfitting.
* **Fully Explainable**: Gloria's models are explicit, fully documented, and always inspectable.
* **Modern Python Stack**: Type hints, pydantic for validation, and a clean API design reminiscent of [Prophet](https://facebook.github.io/prophet/) but with a much more maintainable and extensible codebase.

## Important Links
* **Documentation**: https://e-dyn.github.io/gloria/
* **Installation**: https://e-dyn.github.io/gloria/get_started/installation.html
* **Source Code**: https://github.com/e-dyn/gloria
* **Bug Reports and Feature Requests**: https://github.com/e-dyn/gloria/issues
* **License**: [MIT](https://github.com/e-dyn/gloria/blob/main/LICENSE)



