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Project description

prismPlay

Generic Transformation tool.
One set of Input file(s) can be transformed into many versions.
Supports yml based config.

Stats

GitHub License Contributor Covenant

GitHub Release GitHub commits since latest release

Static Badge Website

Static Badge Website

Url(s) of AmenityPj

Refer Url(s) of AmenityPj for details.

Screen Shot(s) of Web App Static Badge

sample_web_1

Installation/Setup

Steps can be found here.

How To Use

There are various ways to Get Started:

  • Online Mode
    • Website Static Badge can be used
  • Offline Mode (Requires Download / Cloning of the Repo)
    • Code can be directly run from dataPlay/data_play/main/dataplay.py using any IDE
    • Local Web Server App amenitypj can be used

Help

Issue tracker can be found here.

Contributing

  • Code of Conduct can be found here.
  • Contributing Guidelines can be found here.

Project details


Download files

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Source Distribution

prismplay-1.5.0.tar.gz (35.3 kB view details)

Uploaded Source

Built Distribution

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prismplay-1.5.0-py3-none-any.whl (43.7 kB view details)

Uploaded Python 3

File details

Details for the file prismplay-1.5.0.tar.gz.

File metadata

  • Download URL: prismplay-1.5.0.tar.gz
  • Upload date:
  • Size: 35.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for prismplay-1.5.0.tar.gz
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See more details on using hashes here.

Provenance

The following attestation bundles were made for prismplay-1.5.0.tar.gz:

Publisher: python-publish-pypi.yml on impratikjaiswal/dataPlay

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file prismplay-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: prismplay-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 43.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for prismplay-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 78fb6a9563f76c804ee5b59e7c5477b166c331fabe45d48936bc21a216beccd7
MD5 2c028c4d6a4f57e4ddadc8121664aa48
BLAKE2b-256 1c1d9ab2c746ea85865d7e087ec0cae63e2b1f4f5b0680bb186fad7eeca9f7c7

See more details on using hashes here.

Provenance

The following attestation bundles were made for prismplay-1.5.0-py3-none-any.whl:

Publisher: python-publish-pypi.yml on impratikjaiswal/dataPlay

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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