{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"}],"enrichment":{"capability":"Pylance is a Python wrapper for the Lance columnar data format, enabling efficient storage and querying of large datasets using Apache Arrow as its underlying data model.","skillfed_tags":["columnar-storage","data-serialization","arrow-ecosystem"],"use_cases":["Store large machine learning training datasets in a columnar format optimized for batch access and feature extraction.","Build data pipelines that serialize analytical tables to disk with better compression than row-oriented formats.","Integrate with pyarrow-based workflows to leverage Arrow's ecosystem while using Lance's storage optimizations.","Archive and query time-series or event data where columnar layout reduces I/O and memory overhead."],"what_it_does":"Pylance is a Python SDK that wraps the Lance columnar data format, a format designed for efficient storage and retrieval of large analytical datasets. It sits on top of Apache Arrow, inheriting Arrow's type system and columnar layout while providing a Python-friendly interface for reading and writing data. The package targets data science and machine learning workflows where columnar storage offers advantages in compression, query performance, and memory efficiency.\n\nThe package is in active development (Alpha status) and requires Python 3.10 or later with compiled wheels available for common platforms. Its main dependencies\u2014pyarrow, numpy, and lance-namespace\u2014are typical for data science stacks. With zero known vulnerabilities and a permissive license, it presents a low security risk, though as an Alpha project it may still undergo API changes.","worth_installing":"Yes, if you work with large analytical datasets and want a columnar storage format integrated with the pyarrow ecosystem. The permissive Apache license, active maintenance, and zero known vulnerabilities support adoption. Medium install friction (compiled wheels, multiple dependencies) is typical for data science packages. Be aware that Alpha status means the API may change; suitable for production use only if you can tolerate potential breaking changes in future releases."},"id":"pylance","links":{"html":"https://skillfed.io/packages/pylance","md":"https://skillfed.io/packages/pylance.md","pypi":"https://pypi.org/project/pylance/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"pylance","python_support":"supports_current","summary":"python wrapper for Lance columnar format"},"popularity":{"monthly_downloads":4059100,"position":2387,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"10.0.0"}
