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aroma

Library to prepare asynchronous time series datasets

https://github.com/durandtibo/aroma

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Library to prepare asynchronous time series datasets

Basic Info
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Created almost 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation Codeowners

README.md

aroma

CI CI Codecov
PYPI version Python BSD-3-Clause Code style: black Doc style: google
Downloads Monthly downloads

Overview

A python library to prepare asynchronous time series datasets

Disclaimer on Datasets

This is a utility library that downloads and prepares public datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have license to use the dataset. It is your responsibility to determine whether you have permission to use the dataset under the dataset's license.

If you're a dataset owner and wish to update any part of it, or do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML community!

API stability

:warning: While aroma is in development stage, no API is guaranteed to be stable from one release to the next. In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release. In practice, this means that upgrading aroma to a new version will possibly break any code that was using the old version of aroma.

License

aroma is licensed under BSD 3-Clause "New" or "Revised" license available in LICENSE file.

Owner

  • Name: Thibaut Durand
  • Login: durandtibo
  • Kind: user
  • Location: Vancouver, Canada
  • Company: Borealis AI

Researcher in Computer Vision and Machine Learning. This profile is used for personal projects/contributions

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this library, please cite it as below."
authors:
- family-names: "Durand"
  given-names: "Thibaut"

title: "AROMA: A Python Library to Prepare Asynchronous Time Series Datasets"
date-released: 2023-05-20
url: "https://github.com/durandtibo/aroma"

GitHub Events

Total
  • Delete event: 18
  • Issue comment event: 8
  • Push event: 30
  • Pull request review event: 15
  • Pull request event: 39
  • Create event: 19
Last Year
  • Delete event: 18
  • Issue comment event: 8
  • Push event: 30
  • Pull request review event: 15
  • Pull request event: 39
  • Create event: 19

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 154
  • Average time to close issues: N/A
  • Average time to close pull requests: 29 days
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.69
  • Merged pull requests: 86
  • Bot issues: 0
  • Bot pull requests: 110
Past Year
  • Issues: 0
  • Pull requests: 41
  • Average time to close issues: N/A
  • Average time to close pull requests: 28 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.24
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 41
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • dependabot[bot] (131)
  • durandtibo (40)
Top Labels
Issue Labels
Pull Request Labels
dependencies (130) python (21)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 754 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
pypi.org: aroma

A library to prepare asynchronous time series datasets

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 754 Last month
Rankings
Downloads: 8.1%
Dependent packages count: 10.0%
Average: 20.3%
Dependent repos count: 21.7%
Forks count: 29.8%
Stargazers count: 31.9%
Maintainers (1)
tdurand
Last synced: 6 months ago

Dependencies

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.github/workflows/nightly-package.yaml actions
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.github/workflows/nightly-tests.yaml actions
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.github/workflows/pypi.yaml actions
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poetry.lock pypi
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pyproject.toml pypi
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  • numpy ^1.24
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  • python ^3.9
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  • torch ^2.0
environment.yaml pypi