{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/7"}],"enrichment":{"capability":"Delta Sharing is a Python client library for the Delta Sharing protocol, enabling you to load shared Delta Lake and Parquet tables as pandas or Spark DataFrames from remote data providers.","skillfed_tags":["data-sharing","delta-lake","cross-platform"],"use_cases":["Load a shared Delta Lake table from a remote provider into a local pandas DataFrame for analysis.","Access Parquet tables published via Delta Sharing without copying data to your infrastructure.","Build a PySpark job that reads shared tables directly via the Delta Sharing protocol.","Integrate cross-organization data sharing into a data pipeline without ETL overhead.","Query shared datasets in real time from multiple organizations in a federated analytics setup."],"what_it_does":"Delta Sharing is a Python client for an open protocol that lets organizations securely share access to Delta Lake and Parquet tables across different computing platforms in real time. Rather than copying or moving data, it provides direct read access to remote tables, which you can load into pandas DataFrames or Spark DataFrames (when running in PySpark). The library wraps the delta-kernel-rust-sharing-wrapper to handle the protocol details, and depends on pandas, pyarrow, fsspec, requests, aiohttp, yarl, and jwcrypto for HTTP communication, filesystem abstraction, and cryptographic credential handling.\n\nYou install it via pip, though some environments may need to build the Rust wrapper from source. It requires Python 3.10 or later. The library is actively maintained, recently released, and positioned as production-stable. It has no known security vulnerabilities and is widely downloaded, making it a mature choice for organizations implementing Delta Sharing data-exchange workflows.","worth_installing":"Yes. Delta Sharing is actively maintained, production-stable, has no known vulnerabilities, and low install friction. It solves a real problem\u2014secure cross-platform data sharing without data movement\u2014and is widely used (top 5000 PyPI packages). Install it if you need to consume shared Delta Lake or Parquet tables via the Delta Sharing protocol; be aware that some systems may require Rust to build the native wrapper."},"id":"delta-sharing","links":{"html":"https://skillfed.io/packages/delta-sharing","md":"https://skillfed.io/packages/delta-sharing.md","pypi":"https://pypi.org/project/delta-sharing/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"delta-sharing","python_support":"supports_current","summary":"Python Connector for Delta Sharing"},"popularity":{"monthly_downloads":1460664,"position":3880,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.4.2"}