A library for creating assets from files on disk.

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License: MIT License (MIT)

Author: Alex Braun

Tags asset, project, data

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Project description

Hidebound

Documentation

Installation

pip install hidebound

For Developers

Installation

  1. Install docker
  2. Install docker-machine (if running on macOS or Windows)
  3. Ensure docker-machine has at least 4 GB of memory allocated to it.
  4. cd hidebound
  5. chmod +x bin/hidebound
  6. bin/hidebound start

The service should take a few minutes to start up.

Run bin/hidebound --help for more help on the command line tool.

Project details

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Unverified details

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Meta

License: MIT License (MIT)

Author: Alex Braun

Tags asset, project, data

Classifiers

Release history Release notifications | RSS feed

0.34.0

0.33.5

0.33.4

0.33.3

0.33.2

0.33.1

0.33.0

0.32.4

0.32.2

0.31.5

0.31.4

0.31.1

0.30.0

0.29.0

0.26.1

0.25.1

0.25.0

0.24.0

0.23.3

0.23.2

0.23.1

0.23.0

0.22.4

0.22.3

0.22.2

0.22.0

0.21.1

0.20.1

0.19.1

0.19.0

0.18.1

0.16.2

0.16.1

0.16.0

0.15.10

0.15.9

0.15.8

0.15.6

0.15.5

0.15.2

0.14.0

0.13.0

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.11.0

0.10.8

0.10.7

0.10.6

0.10.5

0.10.4

0.10.3

0.9.7

0.9.2

0.9.1

0.9.0

0.8.9

0.8.8

0.8.7

0.8.5

0.8.4

0.8.2

0.8.1

0.8.0

0.7.4

0.6.4

0.4.2

0.4.0

This version

0.2.3

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Source Distribution

hidebound-0.2.3.tar.gz (12.9 kB view hashes)

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