Open-Source File Lister: Build a Custom File Indexing App

Lightweight File Lister: Fast Directory Indexing for Power Users

Purpose: A compact tool for quickly scanning directories and producing searchable, sortable indexes of files without heavy resource use.

Key features

• Fast indexing: Multithreaded directory traversal and metadata extraction (name, size, type, dates, checksum).
• Low resource usage: Minimal memory and CPU footprint; suitable for older machines and servers.
• Incremental updates: Detects changed files and updates the index instead of rescanning everything.
• Search & filter: Regex and wildcard search, filter by size/date/type, and quick faceted results.
• Export formats: CSV, JSON, HTML directory listings, and SQLite for advanced queries.
• Preview support: Quick previews for text, images, and popular binary types (hash/hex view for others).
• Portable: Single-file binary or small install, no heavy dependencies.
• Cross-platform: Works on Windows, macOS, and Linux.
• CLI + minimal GUI: Scriptable command-line interface plus an optional lightweight GUI for browsing.

Typical use cases

• Power users needing fast directory snapshots for large file trees.
• Administrators building searchable file inventories across network shares.
• Developers generating file manifests or checksums for deployments.
• Archivists creating lightweight HTML indexes for directories.

Example workflow (CLI)

1. Build index: filelister index –path /data –output db.sqlite
2. Update incrementally: filelister update –path /data
3. Search: filelister search –db db.sqlite –query “*.log” –min-size 1M
4. Export: filelister export –db db.sqlite –format html –out dir-listing.html

Implementation notes

• Use file system watchers (inotify, FSEvents, ReadDirectoryChanges) for real-time updates.
• Store metadata in SQLite for fast queries and small footprint.
• Compute checksums optionally (MD5/SHA1) to avoid unnecessary overhead.
• Provide configuration for threadpool size and IO throttling.

Pros & cons

If you want, I can draft a README, CLI reference, or a simple implementation plan (languages, libraries, data schema).