---
id: pyexcelerate
version: "0.13.0"
license: unclear
license_treatment: permissive
maintenance: active
---

# PyExcelerate — Accelerated Excel XLSX Writing Library for Python 2/3

License: permissive · Maintenance: active · Downloads: 521.8K/mo

## What it is and what it does

PyExcelerate is a Python library for writing Excel-compatible XLSX files with a focus on speed. It provides three performance tiers—fastest, faster, and fast—allowing you to trade off convenience for execution time depending on your use case. The library handles bulk data writes, cell-by-cell updates, range operations, cell merging, and styling (fonts, fills, alignment, formats). Styling operations carry significant overhead and can increase execution time substantially, so the library encourages selective use.

The package depends on Jinja2 and six, making it lightweight to install. It supports writing data as 2D arrays, setting individual cell values with formulas and dates, and applying styles to cells, ranges, rows, and columns. The description emphasizes that styling should be used sparingly and provides guidance on the fastest approaches for common tasks.

Use it for:

- Export large datasets to XLSX files quickly without styling overhead
- Generate Excel reports with bulk data and minimal formatting requirements
- Write cell-by-cell spreadsheets with formulas and datetime values
- Apply styling to specific cells or ranges when performance is less critical
- Merge cells and organize data into named ranges within a workbook

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

PyExcelerate writes Excel XLSX spreadsheet files from Python with an emphasis on speed, offering multiple performance tiers for bulk data, cell-by-cell writes, and styling operations.

Yes. PyExcelerate is actively maintained, has low install friction, carries no known security vulnerabilities, and uses a permissive license. It is well-suited for projects that prioritize XLSX generation speed over a large feature surface. If you need advanced styling, conditional formatting, or read support, evaluate alternatives; otherwise, it's a solid choice for fast spreadsheet export.

## Install

pip install pyexcelerate
uv add pyexcelerate
poetry add pyexcelerate

## Installing PyExcelerate

Before you install: Low install friction with a pure-wheel distribution and only two lightweight runtime dependencies (Jinja2 and six). Actively maintained with a recent release in 2025 and an active repository.

License in practice: Licensed under Simplified BSD License (permissive), which allows commercial and private use with minimal restrictions—suitable for most projects.

Quickstart:

pip install pyexcelerate

from pyexcelerate import Workbook

data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
wb = Workbook()
wb.new_sheet("sheet name", data=data)
wb.save("output.xlsx")

Verify before relying:

- Whether the package remains compatible with Python versions beyond 3.8 (classifiers list 3.8 as the latest, but requires_python is unspecified)
- Current performance benchmarks relative to modern alternatives (published benchmarks are from Ubuntu 12.04 era)

## Package facts

- License: not declared (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 521.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

fast excel xlsx writing, python spreadsheet generation, bulk excel export, high-performance xlsx library, excel file creation python, accelerated spreadsheet writer, xlsx generation performance, spreadsheet-export, performance-oriented

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