Skip to main content

Cross-platform storage leak diff detector — find what's eating your disk

Project description

sldd — Storage Leak Diff Detector

Cross-platform tool that finds what's eating your disk space by taking filesystem snapshots and comparing them over time. Designed for the scenario where your system runs out of space every few hours and you need to find the culprit fast.

Features

  • Snapshot & diff — capture directory sizes, compare any two snapshots, see exactly what grew
  • Anomaly detection — flags abnormal growth using absolute thresholds, growth rate, relative change, and statistical deviation
  • Depth-aware attribution — traces growth from / down to the deepest directory responsible
  • Adaptive scanning — starts shallow (depth 3), focuses on what changes, discards the rest. Keeps DB small automatically
  • Web dashboard — real-time UI with charts, drill-down explorer, playback animation, deletion manager, and settings
  • CLI — full-featured terminal interface with Rich tables and color output
  • Safe deletion — preview impact before deleting, blocklist protects system paths, full audit log
  • Playback — animate filesystem changes over time like a video, with speed controls

Prerequisites

  • Python 3.10+
  • Node.js 18+ — only when installing from source; not needed for pip install (frontend is bundled)

Installation

Install without building (recommended)

No clone, no Node.js, no build. The frontend is bundled in the package.

From PyPI (when published):

pip install storage-leak-diff-detector[web]

From GitHub release (pre-built wheel):

pip install https://github.com/datazinc/storage-leak-detector/releases/download/v0.1.2/storage_leak_diff_detector-0.1.2-py3-none-any.whl

Then run:

python -m sldd.cli web

Quick start (clone, install, run — one command)

→ Open in GitHub | → Download ZIP

Bash (Linux, macOS, Git Bash):

([ -d storage-leak-detector ] || git clone https://github.com/datazinc/storage-leak-detector.git) && cd storage-leak-detector && pip install ".[web]" --no-warn-script-location && python -m sldd.cli web

Windows cmd:

if not exist storage-leak-detector git clone https://github.com/datazinc/storage-leak-detector.git && cd storage-leak-detector && pip install ".[web]" --no-warn-script-location && python -m sldd.cli web

Windows PowerShell:

if (-not (Test-Path storage-leak-detector)) { git clone https://github.com/datazinc/storage-leak-detector.git }; cd storage-leak-detector; pip install ".[web]" --no-warn-script-location; python -m sldd.cli web

Skips cloning if the directory already exists. Uses python -m so it works without PATH setup.

Other options

From source (clone + install; requires Node.js for first-time frontend build):

# Bash
([ -d storage-leak-detector ] || git clone https://github.com/datazinc/storage-leak-detector.git) && cd storage-leak-detector && pip install ".[web]" --no-warn-script-location

# Windows cmd
if not exist storage-leak-detector git clone https://github.com/datazinc/storage-leak-detector.git && cd storage-leak-detector && pip install ".[web]" --no-warn-script-location

Development: pip install -e ".[dev,web]"

Verify

sldd --help

If sldd is not found, use python -m sldd.cli --help instead.

PATH setup

To use sldd instead of python -m sldd.cli:

Windows: Add Python\Scripts to PATH (e.g. C:\Users\<you>\AppData\Local\Programs\Python\Python311\Scripts). Restart the terminal.

macOS / Linux: Add the pip user bin or venv bin to PATH. Restart the terminal or run source ~/.bashrc / source ~/.zshrc.

Check: which sldd (macOS/Linux) or where sldd (Windows)

Platform support

Feature Linux macOS Windows
Snapshot, diff, watch, drill, history
Duplicate file detection
Web dashboard
Open in file manager ✓ (xdg-open) ✓ (Finder) ✓ (Explorer)
Process I/O (open files, read/write bytes) Partial (I/O bytes often 0)
Port fallback when in use
Kill previous sldd on port before start ✓ (lsof) ✓ (lsof) ✓ (psutil)
Graceful SIGINT/SIGTERM (kill child on Ctrl-C)
Run as root detection
Restart as regular user (sudo → drop privileges)
Restart as administrator (elevate when not admin) ✓ (pkexec) ✓ (osascript) ✓ (UAC)
Symlink following Partial (may need admin)

Usage

Web dashboard

sldd web

Try sldd first; if not found, use python -m sldd.cli web.

First run will:

  1. Install frontend dependencies if needed (npm install)
  2. Build the frontend if missing or stale (npm run build)
  3. Start the server on http://localhost:8080
  4. Open your browser automatically

If Node.js is not installed, you'll see instructions to install it. The CLI (snapshot, diff, watch) works without Node.

Watch mode (CLI)

sldd watch -r / -i 300

(Or python -m sldd.cli watch -r / -i 300 if sldd is not found.)

Scans / every 5 minutes with adaptive mode on by default. Prints a report whenever anomalies are detected. Press Ctrl-C to stop.

Web dashboard options

sldd web --port 8080 --db snapshots.db

(Or python -m sldd.cli web ... if sldd is not found.)

The dashboard includes:

  • Dashboard — stats, anomaly table, top growers chart, disk usage timeline
  • Playback — animate changes between any two snapshots with speed controls
  • Explorer — navigate the directory tree, see size history for any path
  • Deletion — safely delete files/directories or prune old snapshots
  • Settings — configure scan depth, thresholds, adaptive mode, database

For development with hot-reload:

# Terminal 1: backend
sldd web --port 8080 --db snapshots.db

# Terminal 2: frontend dev server
cd frontend && npx vite --port 5173

Then open http://localhost:5173 (proxies API calls to the backend).

Manual snapshots

# Take snapshots at different times
sldd snapshot -r / --db snapshots.db
# ... wait ...
sldd snapshot -r / --db snapshots.db

# Compare the two most recent
sldd diff --db snapshots.db

# Compare specific snapshots
sldd diff --from 1 --to 5 --db snapshots.db

# Output as JSON
sldd diff --json --db snapshots.db

CLI Reference

Use python -m sldd.cli instead of sldd if the command is not found.

Command Description
sldd snapshot Take a filesystem snapshot
sldd diff Compare two snapshots and show what grew
sldd watch Periodic snapshots with anomaly alerts
sldd web Launch the web dashboard
sldd ls List saved snapshots
sldd drill -p /path Drill into a directory's children
sldd history -p /path Size history of a path across snapshots
sldd compact Run compaction (collapse stable subtrees)
sldd prune -k N Keep only the N most recent snapshots
sldd rm <id> Delete a specific snapshot

Watch mode options

sldd watch \
  -r /                    # root path to scan
  -i 120                  # scan interval in seconds
  --threshold 200MB       # absolute growth alert threshold
  --rate-threshold 100MB  # growth rate alert threshold (per hour)
  --initial-depth 4       # depth for discovery scans
  --stability-scans 5     # scans before marking a path stable
  --keep 10               # snapshots to retain
  --no-adaptive           # disable adaptive mode (full deep scan)
  --json                  # output reports as JSON

Web server options

sldd web \
  --port 8080             # port to listen on
  --host 127.0.0.1        # host to bind to
  --db snapshots.db       # database file path
  -r /                    # scan root for safety checks
  --no-auto-restart       # disable auto-restart on crash
  --max-restarts 10       # max consecutive auto-restarts

Adaptive Scanning

The default auto mode dramatically reduces storage usage by scanning smart:

Phase What happens Storage cost
Discovery (scan 0) Scans at depth 3 (~20K entries) ~6 MB/snapshot
Tracking (scans 1-2) Compares snapshots, identifies growers ~6 MB/snapshot
Focused (scan 3+) Only scans growing paths at full depth, skips stable paths ~0.5-3 MB/snapshot
Compaction (every 3rd) Deletes child entries of stable subtrees, prunes old snapshots Reclaims 50-90%
Rediscovery (every 10th) Full depth-3 scan to catch new growth ~6 MB

Comparison: naive full / scans produce ~58 MB per snapshot (705 MB for 7 snapshots). Adaptive mode keeps the DB under ~25 MB across 100+ scans.

Configure in the web UI under Settings > Adaptive Scanning, or via CLI flags.

Architecture

src/sldd/
  models.py      Pure dataclasses — Snapshot, DirDiff, Anomaly, configs
  snapshot.py    Filesystem walker — os.scandir + size aggregation
  storage.py     SQLite repository — snapshots, entries, path tracking
  diff.py        Diff engine — SQL join to compare snapshots
  detect.py      Anomaly detection — threshold, statistical, attribution
  adaptive.py    Adaptive scan engine — plan, track, compact
  api.py         Public API facade (SLDD class)
  cli.py         Click CLI
  server.py      FastAPI web server + REST endpoints
  scheduler.py   Watch mode scheduler
  report.py      Terminal report formatting
  delete.py      Safe deletion with blocklist
  playback.py    Playback frame generation

frontend/
  src/api.ts           TypeScript API client
  src/App.tsx          Router + layout + toast system
  src/views/           Dashboard, Playback, Explorer, Deletion, Settings
  src/components/      Card, ResizableTable, DepthFilter, Toast

Development

# Install dev dependencies
pip install -e ".[dev,web]"

# Run tests (136 tests)
pytest

# Lint
ruff check src/

# Type check
mypy src/sldd/

# Frontend type check
cd frontend && npx tsc --noEmit

Distribution

Method Use case
pip install storage-leak-diff-detector[web] PyPI (no build, frontend bundled)
pip install <wheel URL> GitHub release wheel (no build)
pip install storage-leak-diff-detector CLI only (no web dashboard)
Source + pip install ".[web]" From clone (requires Node.js for first build)
Source + pip install -e ".[dev,web]" Development, contributions
PyInstaller / Nuitka Standalone executable — build scripts TBD
Docker Isolated environment — Dockerfile TBD

Publishing a release: Run cd frontend && npm run build, then python scripts/prepare_build.py to copy the built frontend into the package, then python -m build.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

storage_leak_diff_detector-0.1.2.tar.gz (289.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

storage_leak_diff_detector-0.1.2-py3-none-any.whl (280.3 kB view details)

Uploaded Python 3

File details

Details for the file storage_leak_diff_detector-0.1.2.tar.gz.

File metadata

File hashes

Hashes for storage_leak_diff_detector-0.1.2.tar.gz
Algorithm Hash digest
SHA256 b3bae63a79e1b90d0e596c2f9929707b102dec5b0b8b27e2f0241aac1aa6f002
MD5 d5bf96d1501484050fe5eea1a49cc05e
BLAKE2b-256 9f2e31f24e4949e3be576c9eb6b3c90188d7fb0cb5c2a73f639dbd4164d194ec

See more details on using hashes here.

Provenance

The following attestation bundles were made for storage_leak_diff_detector-0.1.2.tar.gz:

Publisher: publish-pypi.yml on datazinc/storage-leak-detector

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file storage_leak_diff_detector-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for storage_leak_diff_detector-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1103f42948551b7c9b73f15470b51434b5264607e7bd2ad06dc8554933bb8229
MD5 7d25663e4d51e7b7a6c09a0855eb4240
BLAKE2b-256 76575c880ccf7063be060384586acb9416c44204b33918ea292104dab56a4905

See more details on using hashes here.

Provenance

The following attestation bundles were made for storage_leak_diff_detector-0.1.2-py3-none-any.whl:

Publisher: publish-pypi.yml on datazinc/storage-leak-detector

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page