pyxlsx
Decision gist · record as of 2026-08-14
Yes, if you need a lightweight dictionary-style interface to Excel files and are comfortable with a dormant package. The low install friction and permissive license make it a reasonable choice for simple spreadsheet tasks. However, be aware that maintenance is inactive—if you encounter bugs or need compatibility updates, you may need to fork or switch to openpyxl directly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.5; openpyxl must be installed as a runtime dependency.
- Low friction install with only two runtime dependencies (openpyxl and pycel).
- However, the package is dormant—last release was 2020-07-21 and no commits since 2024-07-15, so maintenance is inactive.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions.
last release 2020-07-21 (2215 days) · last repo commit 2024-07-15 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 230,694 downloads/mo, #9,104 on PyPI
Alternatives
Verify before relying
pip install pyxlsx
from pyxlsx import new_xlsx, open_xlsx
with new_xlsx('output.xlsx') as wb:
ws = wb.create_sheet('sheet1')
ws.append_by_header({'id': '001', 'name': 'example'})- Whether pycel dependency is actively maintained and what its purpose is in this package.
- Whether the dormant status affects compatibility with recent openpyxl versions.
- Real-world performance characteristics when handling large spreadsheets.
What it is and what it does
pyxlsx wraps openpyxl to provide a more intuitive, dictionary-oriented interface for working with Excel files. Instead of navigating cells by coordinate, you can append rows as dictionaries, access cell values by header name, and iterate over content rows as structured objects. It handles header row detection, automatic column discovery, and mixed access patterns (by column number or by header name).
The package is designed for straightforward read-write workflows: creating new spreadsheets, appending data rows, reading back structured content, and modifying cells. It abstracts away much of openpyxl's lower-level cell manipulation, making it suitable for data entry, simple ETL tasks, and spreadsheet-based data management where you want to treat rows like records.
Use it for
- Append product inventory data to a spreadsheet by passing dictionaries with id, name, and price fields.
- Read an existing spreadsheet and iterate over rows as structured objects to extract or transform data.
- Build a simple data export tool that writes tabular data to Excel with automatic header generation.
- Modify cell values in a spreadsheet by row and column name without managing cell coordinates manually.
- Access adjacent cells (top, left, right, bottom) to implement spreadsheet-level logic or validation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a lightweight dictionary-style interface to Excel files and are comfortable with a dormant package.
The low install friction and permissive license make it a reasonable choice for simple spreadsheet tasks. However, be aware that maintenance is inactive—if you encounter bugs or need compatibility updates, you may need to fork or switch to openpyxl directly.
Install
pyxlsx on PyPI
Before you install
Low friction install with only two runtime dependencies (openpyxl and pycel). However, the package is dormant—last release was 2020-07-21 and no commits since 2024-07-15, so maintenance is inactive.
Requires Python >= 3.5; openpyxl must be installed as a runtime dependency.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions.
Quickstart
pip install pyxlsx
from pyxlsx import new_xlsx, open_xlsx
with new_xlsx('output.xlsx') as wb:
ws = wb.create_sheet('sheet1')
ws.append_by_header({'id': '001', 'name': 'example'})Verify before relying
- Whether pycel dependency is actively maintained and what its purpose is in this package.
- Whether the dormant status affects compatibility with recent openpyxl versions.
- Real-world performance characteristics when handling large spreadsheets.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.5 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesopenpyxlpycel |
| Maintenance | Dormant 2,215 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 230,694 / month, #9,104 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 :: 3 |
Evidence: pyxlsx-1.1.3-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “excel worksheet dictionary interface”
- pyxlsxProvides dictionary-like read and write access to Excel worksheets…
- spire-xlsSpire.XLS is a compiled Python library for creating, reading,…
- recordsRecords provides a lightweight SQL query interface for relational…
Give your agent the search over MCP, or paste the wish link into any chat.
More Utilities packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Pygments is a syntax highlighter that colorizes source code and text in over 500 languages and formats, outputting to HTML, LaTeX, RTF, SVG, images, or ANSI terminal sequences.
Install it if you need to display or transform source code.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
See also openpyxl · pyxlsb · pylightxl · PyExcelerate · xlrd3 · pygsheets · aspose-cells-python · pyexcel-xlsx · XMind · openpyxl-stubs