Cloudinary vs scikit-image: What are the differences?
What is Cloudinary? An end-to-end image & video management solution for your web and mobile applications. Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
What is scikit-image? Image processing in Python. scikit-image is a collection of algorithms for image processing.
Cloudinary and scikit-image can be primarily classified as "Image Processing and Management" tools.
Some of the features offered by Cloudinary are:
- Upload images to a cloud-based storage
- Upload video to cloud-based storage
- Automatic backup and revision tracking
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
"Easy setup" is the top reason why over 34 developers like Cloudinary, while over 5 developers mention "More powerful" as the leading cause for choosing scikit-image.
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.
What is Cloudinary?
What is scikit-image?
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My website is https://cyberindia.in and I manage 95% of my images in cloudinary and I am happy slowly I will move all my images to cloudinary and become more happy :D . On a serious note Cloudinary Rocks ...
The art of technologies and delivering power potential with a huge flexibility makes cloudinary stand out in the crowd.
Uploaded files are stored in the cloud and immediately made accessible. To transform, optimize and manage images and videos.The Future of Content Delivery and Management.Optimizing Video with Cloudinary and the HTML5 videoPlayer. https://cloudinary.com
we used this as our image hosting site at talenthouse. helped the cloundinary team with the video integration as we were one of the first users. also helped patch the cloudinary scala library.
4 years of experience with Cloudinary for cloud-based image processing and CDN.