chunky_svg VS ExAws.Rekognition

Compare chunky_svg vs ExAws.Rekognition and see what are their differences.

chunky_svg

An Elixir library for generating SVG images (by mmmries)

ExAws.Rekognition

Package to use AWS Rekognition service (by coletiv)
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chunky_svg ExAws.Rekognition
0 0
26 21
- -
4.7 0.0
about 1 month ago 5 months ago
Elixir Elixir
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

chunky_svg

Posts with mentions or reviews of chunky_svg. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning chunky_svg yet.
Tracking mentions began in Dec 2020.

ExAws.Rekognition

Posts with mentions or reviews of ExAws.Rekognition. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning ExAws.Rekognition yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing chunky_svg and ExAws.Rekognition you can also consider the following projects:

gi - Gi is a library for manipulating Graphics Interfacing. Use utility mogrify, identify, ... of GraphicsMagick to resize, draw on base images....

mogrify - Image processing in Elixir (ImageMagick command line wrapper)

png - A pure Erlang library for creating PNG images. It can currently create 8 and 16 bit RGB, RGB with alpha, indexed, grayscale and grayscale with alpha images.

ex_image_info - ExImageInfo is an Elixir library to parse images (binaries) and get the dimensions (size), detected mime-type and overall validity for a set of image formats. It is the fastest and supports multiple formats.