{"categories":[{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"}],"enrichment":{"capability":"OpenSlide Python provides a Python interface to read whole-slide images (virtual slides) used in digital pathology, supporting multiple vendor formats and efficient multi-resolution access to gigabyte-scale images.","skillfed_tags":["medical-imaging","pathology","whole-slide-images"],"use_cases":["Load and tile whole-slide images for web-based pathology viewers or deep-learning training pipelines","Extract regions of interest at specific zoom levels from gigabyte-scale slides in vendor formats","Build automated image analysis workflows that process whole-slide images without memory exhaustion","Integrate multi-resolution slide access into clinical decision-support or research annotation tools","Work with DICOM or CZI slides in medical imaging applications"],"what_it_does":"OpenSlide Python wraps the OpenSlide C library to read whole-slide images\u2014the massive, multi-resolution medical images used in digital pathology. These images can occupy tens of gigabytes uncompressed and come in proprietary formats from vendors like Aperio, Hamamatsu, Leica, Philips, Zeiss, and others; standard image tools cannot handle them. The library lets you read image data at the resolution closest to a desired zoom level without loading the entire file into RAM.\n\nThe package depends on Pillow for image handling and requires Python \u22653.10 and a separate OpenSlide C library installation (\u22653.4.0). It supports formats including Aperio, ARGOS, DICOM, Hamamatsu, Huron, Leica, MIRAX, Philips, Sakura, Trestle, Ventana, Zeiss, and generic tiled TIFF, and is actively maintained with wheels for modern Python versions and multiple architectures.","worth_installing":"Yes, if you work with whole-slide images in digital pathology or medical research. The package is actively maintained, well-supported across platforms and Python versions, and solves a specialized but critical problem\u2014standard image libraries cannot handle these formats or their scale. The main gotcha is the separate OpenSlide C library dependency. No known vulnerabilities."},"id":"openslide-python","links":{"html":"https://skillfed.io/packages/openslide-python","md":"https://skillfed.io/packages/openslide-python.md","pypi":"https://pypi.org/project/openslide-python/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-08","license_spdx":"LGPL-2.1-only AND BSD-3-Clause AND MIT AND LicenseRef-Public-Domain","license_treatment":"copyleft","name":"openslide-python","python_support":"supports_current","summary":"Python interface to OpenSlide"},"popularity":{"monthly_downloads":270441,"position":8236,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.4.6"}