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fatfs-ng

Enhanced Python wrapper around ChaN's FatFS library - Fork of fatfs-python with extended features.

With conditionsPyPI LibrariesReleased Jan 2026830.5K downloads / mopermissive licensePlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — fatfs_ng-0.1.15-cp310-cp310-macosx_10_9_x86_64.whl · fatfs_ng-0.1.15-cp310-cp310-macosx_11_0_arm64.whl · fatfs_ng-0.1.15-cp310-cp310-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl
v0.1.15 · released 2026-01-20 · Python >=3.8

Yes, if you work with ESP32 or embedded FAT filesystems. The extended feature set (walk, stat, bulk copy) and ESP32 wear-leveling support make it substantially more usable than the original fatfs-python. Install friction is moderate but manageable; no runtime dependencies; MIT license is clean. Maintenance is aging (206 days since last release) but the repo is active and the package is marked Beta—suitable for production use if you accept that updates may be infrequent.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.8 or later; compiled extension module requires platform-specific wheel.
  • Medium install friction due to compiled wheels across many platforms (Python 3.10–3.14, macOS, Linux, Windows, ARM).
  • Last release 206 days ago; repository active but aging maintenance signal.

License · maintenance · safety

permissive license (permissive) — MIT license (permissive); no restrictions on commercial or private use, modification, or redistribution.

last release 2026-01-20 (206 days) · last repo commit 2026-01-20

0 known vulnerabilities (OSV.dev, 2026-08-14) · 830,509 downloads/mo, #4,948 on PyPI

Verify before relying

pip install fatfs-ng

from fatfs import RamDisk, create_extended_partition

storage = bytearray(1024 * 1024)
disk = RamDisk(storage, sector_size=512)
partition = create_extended_partition(disk)
partition.mkfs()
partition.mount()
partition.write_file("/test.txt", b"Hello")
partition.unmount()
  • Real-world performance and stability with large FAT filesystems or high-frequency I/O.
  • Completeness of ESP32 wear-leveling implementation relative to official Arduino FFat library.
  • Whether 'aging' maintenance status reflects active development pauses or stable maturity.
Same gist for agents: .md · .json

What it is and what it does

fatfs-ng is a Python wrapper around ChaN's FatFS C library that lets you create and manipulate FAT filesystems entirely in memory or on disk without needing actual hardware. It's a fork of fatfs-python with extended features: directory traversal via walk(), file stat and existence checks, bulk copy operations, and full support for ESP32 wear-leveling filesystem images. The package ships as a compiled extension (Cython) across Python 3.8–3.14 on macOS, Linux, Windows, and ARM platforms.

You use it to build FAT filesystem images for embedded devices (especially ESP32), test filesystem logic in unit tests without real storage, or extract and inspect FAT images from devices. It has no runtime dependencies and integrates directly with Python's file I/O patterns—you can mount a filesystem, write or read files as if they were on disk, then unmount and serialize the whole thing to a binary blob for flashing to hardware.

Use it for

  • Create and populate ESP32 FAT filesystem images for PlatformIO builds without touching actual hardware.
  • Extract and inspect FAT filesystem images downloaded from ESP32 devices for debugging or backup.
  • Write unit tests that exercise filesystem logic (mkdir, write, delete, traverse) in memory without I/O overhead.
  • Convert directory trees to FAT filesystem binaries for embedded systems with minimal storage.
  • Validate FAT filesystem structure and contents before deployment to production devices.

Worth the install?

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

With conditions

Yes, if you work with ESP32 or embedded FAT filesystems.

The extended feature set (walk, stat, bulk copy) and ESP32 wear-leveling support make it substantially more usable than the original fatfs-python. Install friction is moderate but manageable; no runtime dependencies; MIT license is clean. Maintenance is aging (206 days since last release) but the repo is active and the package is marked Beta—suitable for production use if you accept that updates may be infrequent.

Install

fatfs-ng on PyPI

Before you install

Medium install friction due to compiled wheels across many platforms (Python 3.10–3.14, macOS, Linux, Windows, ARM). Last release 206 days ago; repository active but aging maintenance signal.

Requires Python 3.8 or later; compiled extension module requires platform-specific wheel.

License in practice

MIT license (permissive); no restrictions on commercial or private use, modification, or redistribution.

Quickstart

pip install fatfs-ng

from fatfs import RamDisk, create_extended_partition

storage = bytearray(1024 * 1024)
disk = RamDisk(storage, sector_size=512)
partition = create_extended_partition(disk)
partition.mkfs()
partition.mount()
partition.write_file("/test.txt", b"Hello")
partition.unmount()

Verify before relying

  • Real-world performance and stability with large FAT filesystems or high-frequency I/O.
  • Completeness of ESP32 wear-leveling implementation relative to official Arduino FFat library.
  • Whether 'aging' maintenance status reflects active development pauses or stable maturity.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.8
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAging 206 days since the last release
Last repo commit
First released
Downloads830,509 / month, #4,948 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: CythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Software Development :: Embedded SystemsTopic :: Software Development :: LibrariesTopic :: System :: Filesystems

Evidence: fatfs_ng-0.1.15-cp310-cp310-macosx_10_9_x86_64.whl; fatfs_ng-0.1.15-cp310-cp310-macosx_11_0_arm64.whl; fatfs_ng-0.1.15-cp310-cp310-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl; fatfs_ng-0.1.15-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; fatfs_ng-0.1.15-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; fatfs_ng-0.1.15-cp310-cp310-musllinux_1_2_i686.whl; fatfs_ng-0.1.15-cp310-cp310-musllinux_1_2_x86_64.whl; fatfs_ng-0.1.15-cp310-cp310-win_amd64.whl; fatfs_ng-0.1.15-cp310-cp310-win_arm64.whl; fatfs_ng-0.1.15-cp311-cp311-macosx_10_9_x86_64.whl; fatfs_ng-0.1.15-cp311-cp311-macosx_11_0_arm64.whl; fatfs_ng-0.1.15-cp311-cp311-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl; fatfs_ng-0.1.15-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; fatfs_ng-0.1.15-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; fatfs_ng-0.1.15-cp311-cp311-musllinux_1_2_i686.whl; fatfs_ng-0.1.15-cp311-cp311-musllinux_1_2_x86_64.whl; fatfs_ng-0.1.15-cp311-cp311-win_amd64.whl; fatfs_ng-0.1.15-cp311-cp311-win_arm64.whl; fatfs_ng-0.1.15-cp312-cp312-macosx_10_13_x86_64.whl; fatfs_ng-0.1.15-cp312-cp312-macosx_11_0_arm64.whl

Tags

Capabilities
fat filesystem pythonfatfs wrapperesp32 filesystem imagein-memory fat diskfatfs mount read writeembedded filesystem toolsplatformio fatfs
Topics
embedded-systemsesp32filesystem-tools
PyPI keywords
fatfsfatfilesystemembeddedesp32platformio

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See also provide-dir · xattr · morefs · ftputil · littlefs-python · pyfakefs · universal-pathlib · esp-idf-nvs-partition-gen · xrootd · pyxattr