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pyexcel-io

A python library to read and write structured data in csv, zipped csvformat and to/from databases

Worth itPyPI LibrariesReleased Jun 20262.6M downloads / moNew BSDPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pyexcel_io-0.6.8-py2.py3-none-any.whl
v0.6.8 · released 2026-06-28 · Python >=3.6 · 1 runtime deps: lml

Yes. The package is actively maintained, has low install friction, carries a permissive New BSD License, and fills a clear niche: providing a unified API for reading and writing common tabular formats. It's well-suited for applications that need to handle multiple file formats without tight coupling to any single format library. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.6 or later; fonts, colors, charts, and password-protected files are not supported.
  • Low install friction with a single runtime dependency (lml).
  • Active maintenance with a recent release 47 days ago and ongoing issue fixes.

License · maintenance · safety

New BSD (permissive) — New BSD License is permissive and poses no restrictions on commercial or private use, modification, or redistribution.

last release 2026-06-28 (47 days) · last repo commit 2026-06-28 · 59 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,619,491 downloads/mo, #2,968 on PyPI

Verify before relying

pip install pyexcel-io

from pyexcel_io import get_data
data = get_data('file.csv')
  • Whether the package handles large files efficiently or has memory constraints.
  • Performance characteristics when reading/writing files with many rows or columns.
  • Exact behavior when multiple format plugins are installed and how library selection works.
Same gist for agents: .md · .json

What it is and what it does

pyexcel-io is a Python library that abstracts away file format details, letting you read and write structured data through a single consistent API regardless of whether you're working with CSV, TSV, or their zipped variants. It acts as a foundation layer for handling the low-level mechanics of parsing and serializing tabular data. The library is designed to be extended via plugins—additional packages add support for formats like XLS, XLSX, and ODS—so you can install only the format handlers you need.

You use it when you need to load data from or save data to flat files without writing format-specific parsing code, or when you want a pluggable architecture for handling multiple file types in a single application. It integrates with SQLAlchemy and Django for database workflows. The package has been actively maintained since 2014 and supports Python 3.6 and later.

Use it for

  • Load CSV or TSV files into Python data structures for processing without manual parsing.
  • Save tabular data to CSV/TSV files for distribution or archival.
  • Build a data pipeline that accepts multiple file formats by installing format-specific plugins.
  • Integrate with SQLAlchemy or Django for database import and export operations.
  • Extend the library with custom file format handlers for specialized data needs.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has low install friction, carries a permissive New BSD License, and fills a clear niche: providing a unified API for reading and writing common tabular formats. It's well-suited for applications that need to handle multiple file formats without tight coupling to any single format library. No known vulnerabilities.

Install

pyexcel-io on PyPI

Before you install

Low install friction with a single runtime dependency (lml). Active maintenance with a recent release 47 days ago and ongoing issue fixes.

Requires Python 3.6 or later; fonts, colors, charts, and password-protected files are not supported.

License in practice

New BSD License is permissive and poses no restrictions on commercial or private use, modification, or redistribution.

Quickstart

pip install pyexcel-io

from pyexcel_io import get_data
data = get_data('file.csv')

Verify before relying

  • Whether the package handles large files efficiently or has memory constraints.
  • Performance characteristics when reading/writing files with many rows or columns.
  • Exact behavior when multiple format plugins are installed and how library selection works.

Package facts

LicenseNew BSD permissive
Python supportSupports the current Python release >=3.6
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
lml
MaintenanceActively maintained 47 days since the last release
Last repo commit
First released
Downloads2,619,491 / month, #2,968 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: Libraries

Evidence: pyexcel_io-0.6.8-py2.py3-none-any.whl

Tags

Capabilities
read write csv tsv filesmulti-format spreadsheet iocsv database import exportstructured data file handlingtabular data serialization
Topics
file-iodata-serializationplugin-architecture
PyPI keywords
pythonAPItsvtsvzcsvcsvzdjangosqlalchemy

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See also pyexcel · pyexcel-xlsx · pyexcel-ods3 · pyexcel-xls · pyexcel-webio · tablib · pyexcel-ezodf · DrissionRecord · DataRecorder · dataflows-tabulator