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Best pyxlsb Alternatives ranked by AI · updated Aug 2026

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pyxlsb is a Python library for reading binary Excel .xlsb workbooks. It is aimed at developers importing data from large binary spreadsheets that libraries focused on .xlsx cannot open.

Developer: Will Trnr Price: Free 🎯 github.com/willtrnr/pyxlsb
📊 Spreadsheets 🔓 Open Source Excel Data Import Python

Top 6 pyxlsb alternatives

1 python xlrd logo

python xlrd

Python-Excel

xlrd is a Python library for reading legacy Microsoft Excel .xls files. It is aimed at developers importing spreadsheet data without requiring...

Pros

  • Reliable support for legacy .xls files
  • Lightweight and easy to use for read-only imports
  • Extracts workbook, sheet, cell, formula, and formatting information

Cons

  • Does not read .xlsx files in current releases
  • Read-only, with no spreadsheet-writing capability
  • Less suitable than pandas for tabular analysis and transformation

Free

Alternatives to python xlrd → Visit site
2

Pandas

Pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool built on top of the Python programming language....

Pros

  • Efficient data manipulation and analysis
  • Support for handling missing data
  • Integration with data visualization libraries

Cons

  • Performance can be an issue with very large datasets
  • Complex operations may require advanced knowledge

Free

Alternatives to Pandas →
3

openpyxl

openpyxl contributors

openpyxl is a Python library for reading and writing modern Excel .xlsx and .xlsm workbooks. It is designed for developers who need...

Pros

  • Much stronger .xlsx and .xlsm support than xlrd
  • Can create and modify workbooks, not just read them
  • Handles styles, charts, comments, merged cells, and defined names

Cons

  • Does not support legacy binary .xls files
  • Uses more memory than xlrd for large workbooks
  • Slower than table-oriented tools for bulk data analysis

Free

Alternatives to openpyxl → Visit site
4

python-calamine

Dima Stassiuk

python-calamine provides Python bindings to the Rust calamine library for reading Excel and OpenDocument spreadsheets. It targets developers who need one fast...

Pros

  • Supports more spreadsheet formats than current xlrd
  • Rust-based parsing can be fast for read-heavy workloads
  • Single engine covers .xls, .xlsx, .xlsm, .xlsb, and .ods

Cons

  • Read-only and less feature-rich for workbook manipulation
  • Smaller ecosystem than pandas or openpyxl
  • Does not provide the same detailed editing model as openpyxl

Free

Alternatives to python-calamine → Visit site
5

pyexcel

pyexcel contributors

pyexcel is a Python interface for reading and writing spreadsheet-like data through a common API. It is for developers who want format-independent...

Pros

  • Offers a consistent API across multiple spreadsheet formats
  • Supports both reading and writing through a plugin architecture
  • Simpler for basic tabular exchange than cell-level workbook libraries

Cons

  • Excel format support depends on separately installed plugins
  • Less capable than openpyxl for styles, charts, and workbook structure
  • Smaller community and ecosystem than pandas

Free

Alternatives to pyexcel → Visit site
6

tablib

Tablib contributors

Tablib is a Python library for exporting and importing tabular datasets in formats including XLSX, CSV, JSON, and YAML. It is aimed...

Pros

  • Very simple dataset-oriented API
  • Supports multiple import and export formats through one interface
  • Useful for web applications and APIs handling tabular records

Cons

  • Does not provide the detailed cell and workbook access available in xlrd
  • Limited support for complex Excel formatting and formulas
  • Less suitable for large or heavily structured workbooks

Free

Alternatives to tablib → Visit site

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