Pillow vs. VBScript vs. imagor vs. scikit-learn Comparison Chart

The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. Pillow for enterprise is available via the Tidelift subscription. The Python Imaging Library is ideal for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc. The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats. The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and color space conversions.

Imagor is a fast, secure image processing server and Go library, utilizing one of the most efficient image processing libraries, libvips. It supports a wide range of image operations, including resizing, cropping, rotating, flipping, and applying filters. Imagor is designed to be stateless and can be easily deployed using Docker. It supports various storage backends such as HTTP, AWS S3, Google Cloud Storage, and the local filesystem. The server is highly configurable, allowing users to define loaders, storages, and processors to suit their specific needs. Imagor also provides support for URL-safe image operations, enabling on-the-fly image transformations through URL parameters. Security features include HMAC-based URL signing to prevent unauthorized access. It is extensible, with support for custom filters and processors. For video thumbnail generation, Imagor integrates with ffmpeg through the imagorvideo extension, allowing the extraction of video frames.