Skip to main content

Front-end for capturing Action Relation Level models using dataclasses

Project description

PyARL-Dataclasses provides a front-end for capturing actions, and activities in a dataclass-centric manner

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pyarl_dataclasses-0.0.1.3519958098-py2.py3-none-any.whl (64.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pyarl_dataclasses-0.0.1.3519958098-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyarl_dataclasses-0.0.1.3519958098-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1cf1b327fa0731996bb92c365868ac619252715de245bcea100c21cf38722c59
MD5 44e92cac90f8e38a4796e1a410f9fab4
BLAKE2b-256 5a104af0a693acaa3019035ef8be26f4a93d6b7952cbec2d2007b6d4f701860a

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