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colorextractor.md

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| Names | Output | Comments | Free/ Paid |
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|--------------------------|-----------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|
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| ColorThief | [colorthief_output1.png](https://drive.google.com/file/d/1Tai4NwNkvSgtcTSYqWlCizjJ4JSbx92o/view?usp=drive_link)| Suggests the dominant colors in the image as a palette. ColorThief has minimal dependencies and is easy to install so runs fast. However, ColorThief may not be as efficient for large images or if we need advanced color extraction capabilities. | Free |
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| extcolors | [Extcolors_output1.png](https://drive.google.com/file/d/1YwFBWKaXqhXeZGCVbTCtexHPxebw7gKR/view?usp=drive_link) | The same output palette as ColorThief but it is more versatile and allows for extracting colors based on various criteria such as minimum pixel count and color distance threshold. It may offer better performance for large images and has dependencies like NumPy and Pillow which we already use. | Free |
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| colorgram | [colorgram_output1.png](https://drive.google.com/file/d/16gBCXcrHU4-wxBln6BRd8M7bYRtDh2kz/view?usp=drive_link) | The same output palette as ColorThief and Extcolors, colorgram primarily focuses on extracting the dominant colors from an image. It provides a simple interface for extracting without much customization and is more suitable for smaller images and not for advanced extraction. It has minimal dependencies. | Free |
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| get-my-palette-from-image| [get-my-palette-from-image_outputs](https://drive.google.com/drive/folders/125sImilbNq2cIJ8WGlGhp2VWgQ8YB8m3?usp=drive_link)| Not much of a popular library in terms of usage as no commits or pull requests have been done to their GitHub repo in the last 10 months. But it does have features to generate different kinds of palettes like the palette (the main primary color palette), complementary_palette (the complementary colors palette), least_palette (the least used color palette), most_palette (the most used color palette), similar_palette (the similar color palette to the primary color palette). | Free |
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| pypalex | [pypalex_output1.png](https://drive.google.com/file/d/17_4CiqHXBe8vCRbSF1-QDhLe-eFLnBYo/view?usp=drive_link) | Not much of a popular library in terms of usage as no commits or pull requests have been done to their GitHub repo and doesn't have code to write, just have to run in terminal directly to get the output. Example code: `palex --pastel -f C:\Users\devanshi\Desktop\Parmonic\Animation\AD.png -o C:\Users\devanshi\Desktop\Parmonic\Animation\AD1.png`. | Free |
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| | [pypalex_output2.png](https://drive.google.com/file/d/14ola4MQgfMspuoAWWCAE99K5TGeMfR01/view?usp=drive_link) | | Free |
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| Loading.io | [Loading.io palette](https://drive.google.com/file/d/1rjiyxmi3inZsGGew1GOr9SwsBbwRxDiu/view?usp=drive_link) | It is a web-based platform in which an image can be given as input, and they then generate a reference palette that contains the dominant colors of the image. They then generate more than 100 different palettes which they named an infinite palette generator by adding different colors which can be combined with them. It also has features for generating a palette such as: - Gradient - single-color gradient - Dual Polar - gradient between two colors - Analog - similar colors with a slightly different hue - Complement - colors grouped in 2 complementary hues - Tricolor - colors grouped in 3 different hues - Tetrad - colors grouped in 4 different hues - Qualitative - colors with different hues but similar luminance | Paid 9.99USD monthly plan which includes Unlimited Access, Fully Licensed, Full Features, Up to 200 Assets. Only priority support is added in the yearly plan which costs 39.99USD per year. |

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