{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/4"}],"enrichment":{"capability":"Async-tiff is a low-level, high-performance TIFF reader for Python that fetches and decodes tiles from TIFF files asynchronously, particularly suited for cloud-hosted geospatial imagery.","skillfed_tags":["geospatial","async-io","rust-binding"],"use_cases":["Fetch and decode individual tiles from NAIP or Sentinel-2 imagery hosted on S3 without downloading the full file.","Read georeferencing metadata (EPSG codes, projections) from cloud-hosted GeoTIFF files.","Build tile-based image processing pipelines that decode only the regions of interest from large remote rasters.","Integrate async TIFF reading into geospatial data pipelines alongside rasterio or other GIS libraries.","Inspect TIFF structure and sample format before committing to full-file operations."],"what_it_does":"Async-tiff is a Python binding to a Rust library that reads TIFF files asynchronously, designed for efficient access to cloud-hosted geospatial imagery. It provides low-level tile fetching and decoding, allowing you to read individual tiles from large TIFF files without loading the entire file into memory. The package integrates with cloud storage backends (S3 shown in examples) and exposes TIFF metadata like image format, sample depth, and georeferencing information through IFD (Image File Directory) objects.\n\nThe package is built on Rust for performance and compiled to native wheels for CPython 3.10+ and PyPy 3.11. It depends on obspec for storage abstraction. Typical workflows involve opening a remote TIFF file, inspecting its metadata (georeferencing, sample format, bit depth), fetching specific tiles asynchronously, decoding them to arrays, and converting to NumPy for downstream processing or visualization.","worth_installing":"Yes, if you need to read tiles from cloud-hosted TIFF files asynchronously and can work with Python 3.10+. The package is actively maintained, has no known vulnerabilities, and offers a low-level async interface suited for geospatial workflows. However, verify the license terms first (currently unclear in metadata) and confirm that S3 or your storage backend is supported."},"id":"async-tiff","links":{"html":"https://skillfed.io/packages/async-tiff","md":"https://skillfed.io/packages/async-tiff.md","pypi":"https://pypi.org/project/async-tiff/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-06","license_spdx":null,"license_treatment":"unclear","name":"async-tiff","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":82289,"position":14171,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.7.2"}