Skip to main content

A high-performance Python library to read/write Excel 2010 xlsx/xlsm files

Project description

Introduction

fastpyxl is a high-performance Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It is a fork of openpyxl, focused on optimized performance for large-scale Excel processing.

All kudos to the PHPExcel team and the openpyxl developers whose work this project builds upon.

Security

By default fastpyxl does not guard against quadratic blowup or billion laughs xml attacks. To guard against these attacks install defusedxml.

Sample code:

from fastpyxl import Workbook
wb = Workbook()

# grab the active worksheet
ws = wb.active

# Data can be assigned directly to cells
ws['A1'] = 42

# Rows can also be appended
ws.append([1, 2, 3])

# Python types will automatically be converted
import datetime
ws['A2'] = datetime.datetime.now()

# Save the file
wb.save("sample.xlsx")

Documentation

The documentation is at: https://fastpyxl.readthedocs.io

  • installation methods

  • code examples

  • instructions for contributing

Release notes: https://fastpyxl.readthedocs.io/en/stable/changes.html

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastpyxl-1.0.0.tar.gz (209.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fastpyxl-1.0.0-py3-none-any.whl (285.3 kB view details)

Uploaded Python 3

File details

Details for the file fastpyxl-1.0.0.tar.gz.

File metadata

  • Download URL: fastpyxl-1.0.0.tar.gz
  • Upload date:
  • Size: 209.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for fastpyxl-1.0.0.tar.gz
Algorithm Hash digest
SHA256 899767e7935bb01491094d0860befc31288a2f457dc185472f2897f94a2b55af
MD5 802904ab8bc9d0b0a55f636cafcc49d8
BLAKE2b-256 56c8ba375153dd011bfa100dd0c12099b010b4070284f451f19bbb33b7e19b9c

See more details on using hashes here.

Provenance

The following attestation bundles were made for fastpyxl-1.0.0.tar.gz:

Publisher: release.yml on Promptly-Technologies-LLC/fastpyxl

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fastpyxl-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: fastpyxl-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 285.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for fastpyxl-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3fded8b8b54bd88c1e7734563b4423bea146b3569b7ad7d31c24a34e1234c772
MD5 39044d531fded1d311c9782aa28e5ddc
BLAKE2b-256 9c45c367041a09f521e21f85616a3ecd7a0d7018152fa5337210dd84bb1ed5a1

See more details on using hashes here.

Provenance

The following attestation bundles were made for fastpyxl-1.0.0-py3-none-any.whl:

Publisher: release.yml on Promptly-Technologies-LLC/fastpyxl

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page