pylightxl
A light weight excel read/writer for python27 and python3 with no dependencies
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 2.7 or 3.x; does not support .xls files (Excel 2003 and older).
- High install friction: the package is marked as dormant (last release 2023-01-01, 1321 days ago) with no runtime dependencies to manage, but the age of the codebase and lack of recent maintenance may signal limited responsiveness to new Excel format edge cases or Python ecosystem changes.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2023-01-01 (1321 days) · last repo commit 2024-01-20 · 318 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 270,978 downloads/mo, #8,227 on PyPI
Alternatives
Verify before relying
pip install pylightxl
import pylightxl as xl
db = xl.readExcel('file.xlsx')
value = db.ws('Sheet1').address('A1')- Whether the package handles all modern Excel format variations and edge cases created by non-Microsoft tools, given dormant maintenance status.
- Real-world performance and reliability on large worksheets approaching the 536,870,912 cell limit mentioned in limitations.
What it is and 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—though 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.
The API is structured around a database → worksheet → 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
pylightxl on PyPI
Before you install
High install friction: the package is marked as dormant (last release 2023-01-01, 1321 days ago) with no runtime dependencies to manage, but the age of the codebase and lack of recent maintenance may signal limited responsiveness to new Excel format edge cases or Python ecosystem changes.
Requires Python 2.7 or 3.x; does not support .xls files (Excel 2003 and older).
License in practice
MIT license is permissive; you may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install pylightxl
import pylightxl as xl
db = xl.readExcel('file.xlsx')
value = db.ws('Sheet1').address('A1')Verify before relying
- Whether the package handles all modern Excel format variations and edge cases created by non-Microsoft tools, given dormant maintenance status.
- Real-world performance and reliability on large worksheets approaching the 536,870,912 cell limit mentioned in limitations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=2.7 |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Dormant 1,321 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 270,978 / month, #8,227 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: pylightxl-1.61.tar.gz
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