py-ntfs-quick-index 0.1.2

Fast NTFS indexing and search for Windows amd64.

py-ntfs-quick-index

Fast Windows NTFS indexing and search for amd64 machines.

pnqi uses NTFS MFT enumeration for initial indexing and the NTFS USN Journal for incremental refreshes. Indexes are stored as SQLite files named pnqi.index.sqlite in the volume root, for example C:\pnqi.index.sqlite.

Requirements

• Windows only
• amd64 / x86_64 CPU only
• Administrator privileges
• NTFS volumes only
• Python 3.10+

The program elevates only at startup through py-admin-launch. Internal library calls require the already-elevated process and do not trigger additional UAC prompts.

Install

Install the latest release from PyPI:

python -m pip install py-ntfs-quick-index

Upgrade an existing install:

python -m pip install --upgrade py-ntfs-quick-index

For local development from a checkout:

python -m pip install -e .

CLI

Create or replace an index for a folder:

pnqi index C:\

Search with * wildcards. * matches any string, including \.

pnqi search "C:\Users\*\Desktop\*.pdf"

Show descendants sorted by recursive size:

pnqi sizes C:\Users --limit 100

Show only direct children:

pnqi sizes C:\Users --direct

CLI progress bars use tqdm, and Ctrl+C cancels cleanly.

GUI

pnqi-gui

The GUI supports creating indexes, searching wildcard paths, browsing indexed folders, and viewing recursive sizes. During long operations the interface is locked except for Cancel. Long tasks run in a worker process so NTFS MFT scans do not stall the Tk event loop. Cancelled index builds write only to a temporary SQLite file and do not replace the existing index.

Incremental Updates

On startup, and before searches or browsing, pnqi checks existing pnqi.index.sqlite files and replays USN Journal changes into SQLite. If the USN Journal was recreated or no longer contains the required history, pnqi reports that the index must be recreated.