Blitline vs scikit-image: What are the differences?
Developers describe Blitline as "Image processing in the cloud (cropping, rotating, compositing, filtering)". Blitline drastically reduces the amount of work you need to develop an application that does any image processing. Stop rebuilding the same image processing functionality, let us do it for much less than it would cost you to make and support it. Pay for only the image processing time that your jobs use. We believe your images should be YOUR images. We also believe that you should never be "locked in" to using Blitline. The flexibility of the JSON API means you could stub out Blitline later without ever touching your production/deployed code. On the other hand, scikit-image is detailed as "Image processing in Python". scikit-image is a collection of algorithms for image processing.
Blitline and scikit-image belong to "Image Processing and Management" category of the tech stack.
Some of the features offered by Blitline are:
- Industrial Strength- If you are a website that needs to manipulate large numbers of photos, Blitline is your economical solution.
- Convenient- If you are importing photos from an external service and need to crop, thumbnail, or process them, we are your answer.
- Versatile- Screenshots, PDFs, animated GIFs, obscure image formats, we are your one stop shop for all of these.
On the other hand, scikit-image provides the following key features:
- Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.
- Written in Python with a well-commented source code
- Has had 5,709 commits made by 116 contributors representing 29,953 lines of code
scikit-image is an open source tool with 3.1K GitHub stars and 1.31K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.