Metadata-Version: 2.1
Name: aroma
Version: 0.0.0a2
Summary: A library to prepare asynchronous time series datasets
Home-page: https://github.com/durandtibo/aroma
License: BSD-3-Clause
Keywords: dataset,TPP,asynchronous time series
Author: Thibaut Durand
Author-email: durand.tibo+gh@gmail.com
Requires-Python: >=3.9,<4.0
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Provides-Extra: all
Requires-Dist: coola (>=0.0.7,<0.1)
Requires-Dist: gravitorch (>=0.0.11,<0.1)
Requires-Dist: numpy (>=1.24,<2.0)
Requires-Dist: polars (>=0.17,<0.18) ; extra == "all"
Requires-Dist: redcat (>=0.0.3,<0.1)
Requires-Dist: torch (>=2.0,<3.0)
Project-URL: Repository, https://github.com/durandtibo/aroma
Description-Content-Type: text/markdown

# aroma

<p align="center">
    <a href="https://github.com/durandtibo/aroma/actions">
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    </a>
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        <img src="https://api.codeclimate.com/v1/badges/14fed84cba9e0c2ad206/maintainability" />
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        <img alt="BSD-3-Clause" src="https://img.shields.io/pypi/l/aroma">
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        <img  alt="Monthly downloads" src="https://static.pepy.tech/badge/aroma/month">
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</p>

## Overview

A python library to prepare asynchronous time series datasets

