{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/4"}],"enrichment":{"capability":"Geobuf encodes GeoJSON to a compact binary format and decodes it back, achieving 6-8x compression over raw GeoJSON while preserving all data losslessly.","skillfed_tags":["geospatial","data-compression","gis"],"use_cases":["Compress large GeoJSON datasets for storage or network transmission in web mapping applications.","Stream geographic features incrementally from a Geobuf file without loading the entire dataset into memory.","Replace Shapefile workflows with a simpler, JSON-compatible binary format that preserves all properties.","Reduce bandwidth for serving geographic data to browsers or mobile clients.","Concatenate multiple geographic datasets by simply appending Geobuf files together."],"what_it_does":"Geobuf is a binary serialization format for GeoJSON that trades JSON's human readability for dramatic file-size reduction. It encodes geographic feature collections into a compact protobuf-based format, typically shrinking files by 6-8x compared to raw GeoJSON, and 2-2.5x compared to gzipped JSON. The format is lossless\u2014all properties, coordinates, and geometries survive round-trip encoding and decoding intact.\n\nThe package provides both a command-line tool (geobuf encode/decode) and a Python API. It supports incremental parsing (reading features as they arrive rather than loading the entire dataset into memory), partial reads (skipping unneeded data), and trivial concatenation of multiple Geobuf files. It's designed as a modern, GeoJSON-native alternative to Shapefile for scenarios where you need compact storage or transmission of geographic datasets without tiling or coordinate projection.","worth_installing":"Yes, if you work with GeoJSON and need significant file-size reduction without losing data. The low install friction, permissive license, and active maintenance make it a straightforward choice. The 6-8x compression ratio and support for incremental parsing are genuine advantages for large geographic datasets. No known vulnerabilities and stable API."},"id":"geobuf","links":{"html":"https://skillfed.io/packages/geobuf","md":"https://skillfed.io/packages/geobuf.md","pypi":"https://pypi.org/project/geobuf/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-20","license_spdx":null,"license_treatment":"permissive","name":"geobuf","python_support":"unspecified","summary":"Geobuf is a compact binary geospatial format for lossless compression of GeoJSON."},"popularity":{"monthly_downloads":80613,"position":14281,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.0.1"}