{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/17"},{"label":"Graphics","url":"https://skillfed.io/packages/category/multimedia-graphics/2"}],"enrichment":{"capability":"Applies Instagram-style filters and CSS-based image effects to images using NumPy and Pillow, including blend modes for compositing.","skillfed_tags":["image-processing","data-augmentation"],"use_cases":["Apply Instagram-style filters to batches of photos for social media or portfolio preprocessing.","Generate augmented training data for machine learning by applying multiple filter variations to images.","Composite images using blend modes for photo editing workflows.","Add CSS-based effects like sepia or grayscale to images in automated image processing pipelines.","Create consistent visual styling across image datasets by applying the same named filter to all images."],"what_it_does":"Pilgram is a Python library that applies Instagram-style photo filters to images using Pillow and NumPy. It implements named filters inspired by the CSSgram project, plus a set of CSS-based filters (contrast, grayscale, hue_rotate, saturate, sepia) and blend modes for image compositing. The library works by transforming image pixel data through filter matrices and blending operations.\n\nYou use it by opening an image, calling a filter function from pilgram, and saving the result. It's designed for batch image processing, data augmentation in machine learning workflows, or any scenario where you need to apply consistent stylized effects to photos. The current version requires Python >= 3.10 and Pillow >= 10.3.0, with backward-compatible older versions available for earlier Pillow releases.","worth_installing":"Yes. Low install friction, active maintenance, no known vulnerabilities, permissive Apache-2.0 license, and a focused scope make it a safe choice. Install if you need Instagram-style filters or CSS-based image effects; the Pillow version requirement (>= 10.3.0) is the only real constraint, but older pilgram versions exist for earlier Pillow releases."},"id":"pilgram","links":{"html":"https://skillfed.io/packages/pilgram","md":"https://skillfed.io/packages/pilgram.md","pypi":"https://pypi.org/project/pilgram/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-11-23","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"pilgram","python_support":"supports_current","summary":"library for instagram filters"},"popularity":{"monthly_downloads":155684,"position":10803,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.0.0"}