{"categories":[{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/7"}],"enrichment":{"capability":"Reads and writes Microsoft Excel files (.xlsx, .xlsm) and CSV files with zero external dependencies, using only Python standard library.","skillfed_tags":["zero-dependency","excel-csv-io","lightweight"],"use_cases":["Read Excel data in a Django or Flask app without adding heavy dependencies that slow deployment or increase build size.","Extract specific columns or tables from .xlsx files by row/column index or named ranges for data processing pipelines.","Generate Excel reports programmatically on servers where Excel is not installed, writing cell data to new or existing workbooks.","Parse CSV and Excel files in environments with strict download or package restrictions by copying the single source file into your codebase.","Build PyInstaller executables that handle Excel I/O without bloating the binary or causing dependency resolution failures."],"what_it_does":"pylightxl is a single-file, zero-dependency Excel and CSV reader/writer for Python 2.7 through Python 3.x. It reads .xlsx and .xlsm files, extracts cell values (with type conversion to string, int, float), formulas, comments, and named ranges, and can write new Excel files or modify existing ones\u2014though the writer is limited to cell data only (no formatting, images, or macros). The package is designed for projects that need lightweight Excel handling without pulling in heavy dependencies like pandas or openpyxl, making it suitable for constrained environments like Django apps, PyInstaller builds, or systems with download restrictions.\n\nThe API is structured around a database \u2192 worksheet \u2192 cell indexing model: you open a file into a database object, select a sheet, then retrieve values by row/column ID, Excel address (e.g., 'B1'), or range. Because it uses only standard library modules and is packaged as a single source file, you can even copy the source directly into your project to eliminate any external dependency altogether.","worth_installing":"Yes, if you need lightweight Excel reading/writing and can accept the trade-offs: zero dependencies and small footprint are genuine strengths for constrained environments, but the dormant maintenance status (last release January 2023) means new Excel format edge cases or Python ecosystem changes may not be addressed quickly. Install if your use case is straightforward (basic read/write of standard .xlsx files) and you value simplicity over active support; reconsider if you need ongoing compatibility or advanced Excel features."},"id":"pylightxl","links":{"html":"https://skillfed.io/packages/pylightxl","md":"https://skillfed.io/packages/pylightxl.md","pypi":"https://pypi.org/project/pylightxl/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-01-01","license_spdx":null,"license_treatment":"permissive","name":"pylightxl","python_support":"supports_current","summary":"A light weight excel read/writer for python27 and python3 with no dependencies"},"popularity":{"monthly_downloads":270978,"position":8227,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.61"}