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fastexcel

A fast excel file reader for Python, written in Rust

With conditionsPyPI Front-EndsReleased May 20263.3M downloads / mopermissive licensePlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — fastexcel-0.20.2-cp310-abi3-macosx_10_12_x86_64.whl · fastexcel-0.20.2-cp310-abi3-macosx_11_0_arm64.whl · fastexcel-0.20.2-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
v0.20.2 · released 2026-05-04 · Python >=3.10 · 1 runtime deps: typing-extensions

Yes, if you need fast Excel reading and want to minimize dependencies. The package is production-ready, actively maintained, has no known vulnerabilities, and offers genuine performance gains over standard libraries. Install friction is moderate but manageable via prebuilt wheels. Not necessary if you rarely read Excel or have no performance constraints.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Optional integration with external libraries (Pandas, Polars) requires their separate installation.
  • Medium install friction due to compiled Rust wheels, but prebuilt binaries cover common platforms (x86_64, ARM64, macOS, Linux, Windows).

License · maintenance · safety

permissive license (permissive) — MIT license (permissive) allows commercial and private use with minimal restrictions—standard open-source terms with no copyleft obligations.

last release 2026-05-04 (102 days) · last repo commit 2026-08-10 · 246 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,262,951 downloads/mo, #2,680 on PyPI

Verify before relying

pip install fastexcel

import fastexcel

reader = fastexcel.read_excel("data.xlsx")
sheet = reader.load_sheet(0)
schema = sheet.__arrow_c_schema__()
array_data = sheet.__arrow_c_array__()
  • Whether free-threaded build stability has improved since the experimental designation in the description.
  • Performance benchmarks comparing fastexcel to other Excel readers on typical workloads.
  • Support for Excel features beyond basic cell data (formulas, formatting, merged cells).
  • Actual zero-copy performance gains in real-world scenarios with different file sizes.
Same gist for agents: .md · .json

What it is and what it does

fastexcel is a Python Excel reader written in Rust that prioritizes speed and memory efficiency. It reads .xlsx and .xls files and exposes data via the Arrow PyCapsule Interface, allowing zero-copy handoff to Arrow-compatible libraries. The core package is lightweight with only typing-extensions as a runtime dependency; optional extras add integration with external dataframe libraries.

Typical use is to call read_excel() to open a file, load_sheet() or load_table() to select data, then access the raw Arrow interface via __arrow_c_schema__() and __arrow_c_array__(), or convert using library-specific methods. The PyCapsule design reduces dependency bloat when used with compatible consumers. Production-ready for Python; the free-threaded build remains experimental.

Use it for

  • Import Excel files into data pipelines where speed and memory efficiency are priorities.
  • Load Excel tables (named ranges) directly for structured data extraction.
  • Integrate Excel as a data source in applications requiring fast file reading.
  • Replace slower Excel readers in performance-sensitive batch processing jobs.
  • Access Excel data via the Arrow PyCapsule Interface for zero-copy integration.

Worth the install?

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

With conditions

Yes, if you need fast Excel reading and want to minimize dependencies.

The package is production-ready, actively maintained, has no known vulnerabilities, and offers genuine performance gains over standard libraries. Install friction is moderate but manageable via prebuilt wheels. Not necessary if you rarely read Excel or have no performance constraints.

Install

fastexcel on PyPI

Before you install

Medium install friction due to compiled Rust wheels, but prebuilt binaries cover common platforms (x86_64, ARM64, macOS, Linux, Windows). Active maintenance with last commit 2026-08-10. Single lightweight runtime dependency (typing-extensions).

Requires Python 3.10 or later. Optional integration with external libraries (Pandas, Polars) requires their separate installation.

License in practice

MIT license (permissive) allows commercial and private use with minimal restrictions—standard open-source terms with no copyleft obligations.

Quickstart

pip install fastexcel

import fastexcel

reader = fastexcel.read_excel("data.xlsx")
sheet = reader.load_sheet(0)
schema = sheet.__arrow_c_schema__()
array_data = sheet.__arrow_c_array__()

Verify before relying

  • Whether free-threaded build stability has improved since the experimental designation in the description.
  • Performance benchmarks comparing fastexcel to other Excel readers on typical workloads.
  • Support for Excel features beyond basic cell data (formulas, formatting, merged cells).
  • Actual zero-copy performance gains in real-world scenarios with different file sizes.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependencies
1 package
typing-extensions
MaintenanceActively maintained 102 days since the last release
Last repo commit
First released
Downloads3,262,951 / month, #2,680 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Free Threading :: 1 - UnstableProgramming Language :: Python :: Implementation :: CPythonProgramming Language :: Rust

Evidence: fastexcel-0.20.2-cp310-abi3-macosx_10_12_x86_64.whl; fastexcel-0.20.2-cp310-abi3-macosx_11_0_arm64.whl; fastexcel-0.20.2-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; fastexcel-0.20.2-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; fastexcel-0.20.2-cp310-abi3-musllinux_1_2_aarch64.whl; fastexcel-0.20.2-cp310-abi3-musllinux_1_2_x86_64.whl; fastexcel-0.20.2-cp310-abi3-win_amd64.whl; fastexcel-0.20.2-cp310-abi3-win_arm64.whl; fastexcel-0.20.2-cp314-cp314t-macosx_10_12_x86_64.whl; fastexcel-0.20.2-cp314-cp314t-macosx_11_0_arm64.whl; fastexcel-0.20.2-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; fastexcel-0.20.2-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; fastexcel-0.20.2-cp314-cp314t-musllinux_1_2_aarch64.whl; fastexcel-0.20.2-cp314-cp314t-musllinux_1_2_x86_64.whl; fastexcel-0.20.2-cp314-cp314t-win_amd64.whl

Tags

Capabilities
excel file reader pythonfast xlsx parserexcel import rustarrow pycapsule interfaceexcel to dataframehigh performance excel readerexcel data loading
Topics
rust-backeddata-loadingarrow-native

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See also python-calamine · arrow-odbc · xlrd3 · connectorx · agate-excel · pylightxl · xlrd · polars-lts-cpu · excelrd · feather-format