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Shahbaz Viewer

Shahbaz Viewer

Ehsan Shahbazi

|
4 installs
| (0) | Free
The majestic, ultra-fast SQLite Database Studio & Inspector for VS Code. High-speed virtualized DataGrid, interactive ER diagrams, visual query charts, full SQL Studio with EXPLAIN query plan advisor, schema diffing, mock data generator, and CSV/JSON import wizards.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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🦅 Shahbaz Viewer

Shahbaz Viewer Banner

The Majestic SQLite Database Studio & Inspector for VS Code & Cursor

Version License: MIT Author SQLite Performance

Install from Marketplace • Explore Features • ER Diagrams • SQL Studio • Visual Charts • GitHub Repo


📖 Origin of the Name

Shahbaz (شاهباز) is the legendary royal falcon of ancient Persia and the historic standard of Cyrus the Great. Renowned across history for its unmatched speed, penetrating vision, and regal majesty, Shahbaz serves as the guiding inspiration behind this extension:

To give developers the fastest, most razor-sharp, and visually majestic SQLite exploration studio in the world right inside Visual Studio Code and Cursor.

Crafted with dedication by Ehsan Shahbazi.


🌟 Why Shahbaz Viewer?

Most SQLite extensions are sluggish, lack modern visual inspection tools, or break when handling complex relationships and large datasets. Shahbaz Viewer solves this by providing a unified, studio-grade environment:

Capability Legacy Viewers 🦅 Shahbaz Viewer
Grid Performance Laggy HTML tables; freezes at >5k rows 60 FPS TanStack Virtualization (100k+ rows)
Cell Selection & Stats Single cell click only Excel-style multi-cell drag with Live Aggregates (Sum, Avg, Min, Max, Count)
Entity Relationships Text schema or static lines Interactive Canvas ER Graph with draggable nodes & layout persistence
Data Visualizer None (requires external tools) Built-in Quick Charts (Bar, Line, Area, Scatter, Donut/Pie, Treemap)
SQL Scratchpad Plain textarea Monaco SQL Studio with EXPLAIN query plan advisor & timing
Data Importer Manual scripts 3-Step CSV/TSV/JSON/JSONL Import Wizard with auto type inference
Mock Data Generator None Foreign-Key Safe Mock Generator (up to 1,048,576 rows)
Binary & JSON Data Truncated strings or raw hex Deep BLOB Image/Hex Inspector & Formatted JSON Modal
Code Generation Basic SQL Production Prisma, Drizzle, TypeORM, Kysely & Zod Schemas
File Exports Overwrites single files Filesystem-safe timestamped exports (CSV, JSON, Markdown, SQL, TS, PNG, SVG, PDF)

🚀 Core Features

⚡ 1. High-Performance Virtualized DataGrid

Browse, search, sort, and edit massive tables effortlessly without frame drops.

DataGrid Interface

  • 60 FPS Virtualized Scrolling: Render 100,000+ rows smoothly with @tanstack/react-virtual.
  • Excel-Style Multi-Cell Range Selection: Click and drag across rows and columns or hold Shift + Arrow keys to select rectangular cell regions.
  • Instant Live Aggregate Footer: Real-time computation of Sum, Average, Min, Max, Count, and Numeric Count on selected cells in under 2 milliseconds via single-pass loop optimization.
  • Smart Auto-Column Sizing: Click to resize columns or let auto-width sample representative rows instantly.
  • Column Filtering & Global Search: Live regex, text, and numeric filtering with multi-rule condition builders (AND/OR logic).
  • Safe Transactional Editing: Double-click any cell to edit inline. Changes are tracked with amber dirty markers. Commit as a single atomic batch or revert with 1 click.

🗺️ 2. Interactive Entity-Relationship (ER) Diagram

Understand your database architecture visually in seconds.

ER Diagram

  • Dynamic Foreign Key Graph: Automatic linking of foreign keys with curved relationship vectors and cardinality indicators.
  • Draggable Table Nodes: Arrange entities freely on an infinite canvas with mouse wheel zoom in/out (20% to 300%) and smooth panning.
  • Layout Memory & Persistence: Saved node positions persist automatically across sessions and editor reloads. Reset to auto-layout anytime with 1 click.
  • High-Res Multi-Format Export: Export your ER diagram directly to PNG, SVG, PDF, or JSON Schema with timestamped filenames for documentation and PRs.
  • Hardware-Accelerated 60 FPS Engine: Coordinated through requestAnimationFrame to eliminate canvas dragging latency even with large schemas.

📊 3. Visual Analytics & Quick Charts

Turn raw SQL tables and query results into rich visual reports inside your editor.

Visual Charts

  • Multiple Chart Archetypes:
    • 📊 Bar Charts (Vertical & Horizontal)
    • 📈 Line & Area Charts (Continuous time-series & metrics)
    • 🍩 Pie & Donut Charts (Distribution & categorical shares)
    • 🔵 Scatter & Bubble Plots (Correlations & outliers)
    • 🟩 Treemaps & Histograms (Hierarchical volume breakdowns)
  • Theme-Aware Sync: Automatically matches your active VS Code theme (Dark+, Light+, Monokai, GitHub Dark, Cursor).
  • Export Ready: 1-click export to high-resolution PNG or vector SVG with timestamped naming.
  • Configuration Persistence: Save customized metric, dimension, and aggregation settings per table.

💻 4. SQL Studio & Monaco Query Engine

A studio-grade SQL scratchpad with intelligent query performance analytics.

SQL Studio

  • Integrated Monaco Editor: Full SQL syntax highlighting, auto-completion, and query formatting (Cmd+Shift+F / Ctrl+Shift+F).
  • Precise Execution Metrics: High-resolution execution timing down to microseconds (ms) and row count badges.
  • EXPLAIN QUERY PLAN Advisor: Automatically analyzes query execution plans to identify unindexed full-table scans, scanning bottlenecks, and missing indexes with proactive advisory tips.
  • Interactive Query Results Grid: Full search, column sorting, cell selection, and TSV copy on query output datasets.
  • Safe IPC Capping: Safely caps massive unpaginated queries to 5,000 rows with clear Capped from X rows indicators, protecting your VS Code process from memory exhaustion.
  • History Log: Re-run recent queries with a single click.

🪄 5. CSV / JSON Import Wizard

Import external data into SQLite without writing boilerplate ingestion scripts.

Import Wizard

  • Format Support: Import CSV, TSV, JSON arrays, and JSONL / NDJSON newline-delimited data files.
  • Automatic Column Type Detection: Scans sample rows to automatically infer INTEGER, REAL, TEXT, or BOOLEAN types.
  • Flexible Ingestion Targets:
    • Create a brand-new table automatically with inferred DDL.
    • Append rows into an existing table.
    • Replace / overwrite existing tables safely within a transaction.
  • Live Schema & Data Preview: Inspect columns, edit field names, or adjust detected types prior to committing the import.

🎲 6. Smart Foreign-Key Safe Mock Data Generator

Populate your database with realistic seed data for load testing and development.

  • Semantic Field Generation: Automatically detects column names to generate real-world names, emails, UUIDs, phone numbers, prices, timestamps, and JSON payloads.
  • Foreign Key Constraint Integrity: Intelligently inspects parent tables and samples valid primary keys so generated child rows never violate foreign key constraints!
  • High-Volume Generation: Generate up to 2²⁰ (1,048,576) rows in high-speed batches.
  • Direct Insert or Preview: Review generated records before committing to disk.

🔍 7. Deep Type-Aware Inspectors

📦 BLOB Inspector

  • Inspect raw binary data, avatars, document attachments, and files.
  • Image Preview: Automatically identifies binary magic numbers (PNG, JPEG, GIF, WebP, SVG) and renders an immediate graphical preview.
  • Hex Dump Viewer: Classic dual-column memory hex dump with ASCII sidebar.
  • Export Binary: Download any BLOB directly to disk with timestamped filename (column_YYYY-MM-DD_HH-mm-ss.bin).

🌲 JSON Tree Inspector

  • Formatted JSON tree viewer with collapsible branches, syntax coloring, copy-to-clipboard, and JSON validation.

⚡ 8. Modern ORM & Code Generator

Export table schemas directly into modern production code in 1 click:

  • Prisma: Full model schema with @id, @default(autoincrement()), @unique, and relation linkages (@relation).
  • Drizzle ORM: Complete sqliteTable declarations with typed columns (integer, text, real).
  • TypeScript & Zod: TypeScript interface and runtime validation z.object schemas.
  • TypeORM & SQLAlchemy: Python declarative models and TypeScript entity decorators.
  • Go: Struct definitions with json:"..." db:"..." tags.
  • 1-Click Open Beside: Opens generated code in an untitled VS Code editor side-by-side (Cmd+N).

📤 9. Timestamped Exporters

Never overwrite previous exports accidentally:

  • Formats Supported: CSV, JSON, Markdown Tables, SQL INSERT statements, and TypeScript Interfaces.
  • Timestamp Standard: Files are automatically stamped as: <table_or_query>_export_YYYY-MM-DD_HH-mm-ss.<ext>
  • Destination Options:
    • 💾 Save to Project Folder: Writes directly into workspace root.
    • 📁 Save to Custom File: Open native OS file picker with timestamp pre-filled.
    • 📝 Open in Editor: Opens formatted export in a side tab.
    • 📋 Copy to Clipboard: Quick copy for pasting into Slack, Notion, or GitHub.

⌨️ Keyboard Shortcuts

Shortcut (Mac) Shortcut (Windows/Linux) Action
Double Click Double Click Edit cell in-place
Enter Enter Save cell edit
Escape Escape Discard cell edit / Close open modal
Shift + Click Shift + Click Extend multi-cell rectangular range selection
Cmd + B Ctrl + B Toggle Left Sidebar (collapse / expand)
Cmd + Enter Ctrl + Enter Execute SQL query in SQL Studio
Cmd + Shift + F Ctrl + Shift + F Format SQL query in SQL Studio
Mouse Wheel Mouse Wheel Zoom in / Zoom out in ER Diagram

🛠️ Performance Architecture

Shahbaz Viewer was engineered from the ground up for maximum responsiveness:

  1. WebAssembly SQLite Core: Powered by sql.js compiled to WebAssembly. Zero native binary dependencies, runs identically across macOS (Apple Silicon & Intel), Windows, Linux, and web environments.
  2. TanStack Virtual DOM Windowing: Only cells visible in the viewport are rendered in the DOM, maintaining 60 FPS even on million-row tables.
  3. O(N) Single-Pass Math Loop: Multi-cell aggregate calculations (Sum, Avg, Min, Max, Count) execute in a single-pass loop, preventing V8 RangeError: Maximum call stack size exceeded crashes when selecting $>65,536$ cells.
  4. Row-Sampling Column Widths: Auto-width calculations sample representative rows rather than traversing full datasets, eliminating pagination stutter.
  5. IPC Capping Safeguard: SQL Studio limits raw unpaginated result sets to 5,000 rows over VS Code postMessage IPC, preventing host serialization freezing.
  6. RequestAnimationFrame Canvas: ER graph dragging and zooming are synced to display refresh cycles for jitter-free 60fps rendering.

📦 Installation

From VS Code Marketplace

  1. Open Visual Studio Code or Cursor.
  2. Press Cmd+Shift+X (or Ctrl+Shift+X) to open the Extensions tab.
  3. Search for Shahbaz Viewer.
  4. Click Install.

Opening a Database

  • Double Click: Click any .db, .sqlite, .sqlite3, .db3, .s3db, or .sl3 file in the VS Code file explorer.
  • Activity Bar: Click the royal Shahbaz bird icon in the left activity bar to see all databases in your workspace.
  • Command Palette: Press Cmd+Shift+P and run:
    Shahbaz Viewer: Open SQLite Database
    

🧑‍💻 Development & Building

To build the extension from source:

# 1. Clone the repository
git clone https://github.com/EhsanShahbazii/Shahbaz-Viewer.git
cd Shahbaz-Viewer

# 2. Install dependencies
npm install

# 3. Build extension host and React webview
npm run build

# 4. Run automated test suite
node scripts/test-engine.js

# 5. Launch in VS Code
# Press F5 to open the Extension Development Host with sample.db!

Watch Mode

npm run watch:extension
npm run watch:webview

👨‍💻 Author & Credits

  • Creator & Lead Engineer: Ehsan Shahbazi
  • Repository: https://github.com/EhsanShahbazii/Shahbaz-Viewer
  • Report an Issue: https://github.com/EhsanShahbazii/Shahbaz-Viewer/issues
  • License: Released under the MIT License.

🦅 Shahbaz Viewer — The Sovereign Standard for SQLite Engineering

Made with ❤️ by Ehsan Shahbazi

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