A library to prepare asynchronous time series datasets

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for tdurand from gravatar.com tdurand

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Thibaut Durand
  • Tags dataset, TPP, asynchronous time series
  • Requires: Python >=3.9, <4.0
Classifiers

Project description

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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for tdurand from gravatar.com tdurand

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Thibaut Durand
  • Tags dataset, TPP, asynchronous time series
  • Requires: Python >=3.9, <4.0
Classifiers

Release history Release notifications | RSS feed

This version

0.0.0a7 pre-release

0.0.0a3 pre-release

0.0.0a2 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aroma-0.0.0a7.tar.gz (13.1 kB view details)

Uploaded Source

Built Distribution

aroma-0.0.0a7-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file aroma-0.0.0a7.tar.gz.

File metadata

  • Download URL: aroma-0.0.0a7.tar.gz
  • Upload date:
  • Size: 13.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.0 CPython/3.10.11 Linux/5.15.0-1037-azure

File hashes

Hashes for aroma-0.0.0a7.tar.gz
Algorithm Hash digest
SHA256 7102d0050d898982000d0c0378ee20e826934a783845e7ec0e372a16f3e44b66
MD5 ad8b7083feb4c13101f5e95d04fb10ab
BLAKE2b-256 9d04ce1e09512be81acfa39edafbbcda71e5ca651772b2c95a3cda40131fc7fa

See more details on using hashes here.

File details

Details for the file aroma-0.0.0a7-py3-none-any.whl.

File metadata

  • Download URL: aroma-0.0.0a7-py3-none-any.whl
  • Upload date:
  • Size: 13.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.0 CPython/3.10.11 Linux/5.15.0-1037-azure

File hashes

Hashes for aroma-0.0.0a7-py3-none-any.whl
Algorithm Hash digest
SHA256 06d3c61588b5fa2fc7eb2ffad7898aed9c0c7219f68a992a5a6c7679edd45a3a
MD5 87db35f6e07ecdcfbe5098b585b9d3a2
BLAKE2b-256 df2444c037184efb42ee0e8e363c0f2303ea4bfd8ebded767cb211166cb7deb6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page