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palettecleanse

v2.0.0

palettecleanse is a python library for quick conversions of images to custom color palettes For more information about how to use this package see README

Latest version published 1 month ago

License: The MIT License (MIT) Copyri…

PyPI

Package Health Score

57 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: ?
Forks: ?
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package palettecleanse, we found that it has been starred ? times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 29, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

The MIT License (MIT) Copyright © 2024 <Jiaming Chen> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Security Policy

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Maintenance

Sustainable

Commit Frequency

Unavailable commit data

Open Issues: ?
Open PR: ?
Last Release: 1 month ago
Last Commit: unknown

Further analysis of the maintenance status of palettecleanse based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that palettecleanse demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 1 month
Latest Release: 1 month ago
Dependencies: N/A
Versions: 3
Maintainers: 1
Wheels: OS Independent

Readme

palettecleanse

palettecleanse is a python library for quick conversions of images to custom color palettes

Installation

pip import palettecleanse

For manually installing requirements: pip install -r requirements.txt

To verify the installation worked, run the following code:

from palettecleanse.presets import TwilightSunset

TwilightSunset.display_plotly_examples()

Quickstart

To convert an image to a custom color palette, simply select an image and load it into palettecleanse as a Palette object, where desired attributes such as the number of colors (n_colors) can be specified as part of the class initialization. All available palettes for the image can be displayed via. the display_all_palettes method.

from palettecleanse.palettes import Palette

# load image
vangogh = Palette('images/vangogh.jpg')
vangogh.display_all_palettes()

vangogh_image

vangogh_palette

Specific palette types (sequential, qualitative, etc) are stored as attributes for this object and are compatible with matplotlib, seaborn, and plotly.

# sequential palette in matplotlib
plt.scatter(x, y, c=colors, palette=vangogh.sequential)

# qualitative palette in matplotlib
plt.bar(categories, values, color=vangogh.qualitative)

# qualitative palette in seaborn
sns.swarmplot(df, x="x", y="y", hue="z", palette=vangogh.qualitative)

# generic palette in plotly
px.scatter(df, x="x", y="y", color="z", color_continuous_scale=vangogh.plotly)

To get a sense for how well your palette works, use the display_example_plots method

# this creates some misc plots using your generated palettes
vangogh.display_example_plots()

# plotly equivalent
vangogh.display_plotly_examples()

vangogh_example

palettecleanse also comes prepackaged with some preset palettes:

from palettecleanse.presets import TwilightSunset

TwilightSunset.display_all_palettes()

TwilightSunset palette

See usage.ipynb for more examples.

Examples

All available preset palettes can be accessed via. the display_all_preset_palettes method

display_all_preset_palettes('sequential')

Preset Sequentials

Below are example plots made using via. the display_example_plots method that can be used to get a bird's eye view on how well a palette behaves across generic plot types

Hokusai - The Great Wave off Kanagawa

great_wave_example

Red Rose

red_roses_example

Sunset

sunset_example

Bladerunner Olive

bladerunner_olive

More examples available in usage.ipynb.

Contributing

Contributions at all levels are welcome! I'm happy to discuss with anyone the potential for contributions. Please see CONTRIBUTING.md for some general guidelines and message me with any questions!

FAQs

What is palettecleanse?

palettecleanse is a python library for quick conversions of images to custom color palettes. Visit Snyk Advisor to see a full health score report for palettecleanse, including popularity, security, maintenance & community analysis.

Is palettecleanse popular?

We’re still processing downloads data for the python package palettecleanse. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is palettecleanse safe to use?

The python package palettecleanse was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 29 November-2024, at 18:48 (UTC).

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palettecleanse

palettecleanse is a python library for quick conversions of images to custom color palettes For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

Embed Package Health Score Badge

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Package

Readme

palettecleanse

Installation

Quickstart

Examples

Hokusai - The Great Wave off Kanagawa

Red Rose

Sunset

Bladerunner Olive

Contributing

Meta

FAQs

What is palettecleanse?

Is palettecleanse popular?

Is palettecleanse safe to use?

Build a secure application checklist

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Scan your app for vulnerabilities

Fix identified vulnerabilities

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

palettecleanse

Installation

Quickstart

Examples

Hokusai - The Great Wave off Kanagawa

Red Rose

Sunset

Bladerunner Olive

Contributing

Meta

FAQs

What is palettecleanse?

Is palettecleanse popular?

Is palettecleanse safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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