{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database"}],"enrichment":{"capability":"Provides a Rust-powered core implementation for Apache Iceberg table format operations in Python, intended as an internal dependency for the pyiceberg library.","skillfed_tags":["rust-binding","iceberg-format","data-lake"],"use_cases":["Accelerating Iceberg table operations when using the pyiceberg library for data lake workflows","Improving performance of table metadata and partition handling in Iceberg-backed data systems","Supporting pyiceberg installations on systems where Rust compilation is unavailable or undesirable"],"what_it_does":"Pyiceberg-core is a compiled extension that brings Rust performance to Apache Iceberg operations within Python. It is designed as an internal component of the pyiceberg library rather than a standalone tool, providing optimized implementations of core table format handling. The package ships as pre-built wheels for multiple platforms and architectures, minimizing installation complexity on supported systems.\n\nThis is not a user-facing library\u2014it exists to accelerate pyiceberg's internal operations. If you are working with Iceberg tables in Python, you would typically install pyiceberg, which depends on this core package automatically. Direct installation is only necessary for development or when explicitly required by pyiceberg.","worth_installing":"Yes, if you are using pyiceberg\u2014it will be installed automatically as a dependency. No, if you are looking for a standalone Iceberg tool; install pyiceberg instead. The package itself is not meant for direct use and offers no public API beyond what pyiceberg exposes."},"id":"pyiceberg-core","links":{"html":"https://skillfed.io/packages/pyiceberg-core","md":"https://skillfed.io/packages/pyiceberg-core.md","pypi":"https://pypi.org/project/pyiceberg-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-01","license_spdx":null,"license_treatment":"permissive","name":"pyiceberg-core","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":6795716,"position":1846,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.10.1"}